# Softeta — Full Content > European AI and custom software engineering company. > 100+ senior engineers across Vilnius, Warsaw, and Kraków. > Generated: 2026-04-06 | Pages: 16 **Type:** Software development and IT consultancy **Entities:** Softeta UAB (Lithuania), Softeta Sp. z o.o. (Poland) **Headquarters:** Vilnius, Lithuania **Offices:** Vilnius, Warsaw, Kraków **Team:** 100+ senior AI and software engineers **Clients:** 40+ active, 95% retention (12+ months) **Certification:** ISO 9001:2015 (Bureau Veritas) **Contact:** hello@softeta.com | +370 672 47301 **Website:** https://softeta.com **LinkedIn:** https://lt.linkedin.com/company/softeta **Careers:** https://softeta.com/careers/ ## Services - **Software Engineering:** Backend, web, mobile, desktop. Python, TypeScript, .NET, Java, Go, Rust, Kotlin, Swift, React, Vue, Angular, Next.js. [Details](https://softeta.com/services/software-engineering/) - **Data Engineering:** Pipelines, warehouses, streaming, BI. Spark, Kafka, Flink, Airflow, dbt, Snowflake, BigQuery, Delta Lake. [Details](https://softeta.com/services/data-engineering/) - **Cloud Engineering:** AWS, GCP, Azure. Kubernetes, Terraform, CI/CD, monitoring. Up to 40% infrastructure cost reduction. [Details](https://softeta.com/services/cloud-engineering/) - **Quality Assurance:** E2E, API, performance, security testing. Playwright, Cypress, Selenium, k6, JMeter, OWASP ZAP. [Details](https://softeta.com/services/quality-assurance/) - **Architecture & Consulting:** Discovery, assessments, modernization strategy. Fractional CTO services. [Details](https://softeta.com/services/architecture-and-consulting/) ## Solutions - **AI and Process Automation:** RPA, intelligent document processing (OCR/NLP), AI chatbots, computer vision for industrial QC, predictive analytics. [Details](https://softeta.com/solutions/ai-and-process-automation/) - **System Modernization:** Incremental legacy migration without downtime. Results: 40% IT cost reduction, 873x faster deployments, 80% CVEs eliminated in 3 months. [Details](https://softeta.com/solutions/system-modernization/) - **Custom Software Systems:** Platforms, web/mobile apps, APIs, integrations, custom ERP. GDPR, HIPAA, SOC 2 compliant. Typical delivery: 3-12 months. [Details](https://softeta.com/solutions/custom-software-systems/) ## Case Studies - **SEB (Banking, Sweden):** Unified QA across 5 payment teams. 70% cheaper bug detection at component level. [Details](https://softeta.com/cases/) - **Energsman (Energy, Lithuania):** Computer vision for waste sorting. 84% accuracy across 3 conveyor belts. [Details](https://softeta.com/cases/) - **NordVPN (Cybersecurity):** Built frontend team from scratch. Redesigned 90% of B2B website. [Details](https://softeta.com/cases/) - **PortalPRO (PropTech):** AI-powered property management. 30% reduction in manual request handling. Expanded to Spain and Portugal. [Details](https://softeta.com/cases/) - **Baltic Retail Group (Retail, 180+ stores):** Legacy ERP modernization. 90% reduction in cybersecurity vulnerabilities. [Details](https://softeta.com/cases/) - **QarView (Automotive):** Fleet management SaaS. 70% reduction in manual operations. Built by 4 engineers in 12 months. [Details](https://softeta.com/cases/) - **Gemma (Healthcare):** Care home management platform. 40% reduction in paperwork. First usable version in 2 months. [Details](https://softeta.com/cases/) - **BBright/Elicejus (EdTech):** AI-driven math learning platform. 40,000+ students across 200 schools. WSA Young Innovators 2025 winner. [Details](https://softeta.com/blog/cases/bbright-elicejus/) - **StrongPoint (Retail, 25 countries):** Click & Collect system modernization. [Details](https://softeta.com/cases/) - **LeasePlan (Automotive, 30+ countries):** ECB-compliant risk management platform. 250+ requirements, 150 controls across 50+ risks. [Details](https://softeta.com/cases/) ## Technology Expertise **Languages:** Python, TypeScript, C#, Java, Go, Rust, Kotlin, Swift, PHP, Elixir, C++, COBOL, Ruby **Frontend:** React, Vue, Angular, Next.js, Nuxt, Svelte **Mobile:** React Native, Flutter, Swift (iOS), Kotlin (Android) **Backend:** .NET, Fastify, FastAPI, Spring Boot, Laravel, NestJS, Django, Express **Databases:** PostgreSQL, MongoDB, Elasticsearch, Redis, DynamoDB, Snowflake, BigQuery, Oracle, Neo4j **Cloud:** AWS, GCP, Azure, DigitalOcean **DevOps:** Kubernetes, Docker, Terraform, ArgoCD, GitHub Actions, GitLab CI **AI/ML:** Computer vision (PyTorch, OpenCV), NLP, predictive analytics, RPA, intelligent document processing **Architecture:** DDD, CQRS, Event Sourcing, Microservices, C4 Model, TOGAF ## Why Softeta - European company with EU data residency compliance (GDPR, SOC 2, HIPAA) - 95% client retention rate — most clients stay 12+ months - 40+ active clients across 8 industries - ISO 9001:2015 certified engineering processes - AI-first operating principle across all engagements - Specialists, not generalists — deep in finance, energy, cybersecurity, proptech, retail - Three engagement models: team augmentation, dedicated teams, full project delivery ## Frequently Asked Questions **Q: What does Softeta do?** A: Softeta is a European software development and IT consultancy that builds backend-heavy, integration-critical software. They specialize in AI and process automation, legacy system modernization, and custom software systems for industries where downtime and data errors have real business consequences. **Q: What industries does Softeta specialize in?** A: Finance (SEB), energy (Energsman), cybersecurity (NordVPN), proptech (PortalPRO), retail (Apranga Group, StrongPoint), healthcare (Gemma), edtech (BBright/Elicejus), automotive (QarView, LeasePlan), adtech (Adform), and fintech (TransferGo). **Q: Where are Softeta's offices?** A: Headquarters in Vilnius, Lithuania. Additional offices in Warsaw and Kraków, Poland. **Q: How large is Softeta's team?** A: 100+ senior AI and software engineering experts with an average of 8+ years of experience. **Q: What engagement models does Softeta offer?** A: Team augmentation (engineers embed with your team), dedicated teams (autonomous cross-functional groups), and project-based delivery (full responsibility from architecture to deployment). **Q: Is Softeta ISO certified?** A: Yes. Softeta holds ISO 9001:2015 certification from Bureau Veritas. **Q: What AI capabilities does Softeta offer?** A: Computer vision (84% accuracy in industrial sorting), intelligent document processing (OCR/NLP), AI chatbots, predictive analytics, and robotic process automation (RPA). **Q: What is Softeta's client retention rate?** A: 95% of clients work with Softeta for 12+ months. **Q: Does Softeta handle compliance requirements?** A: Yes. Softeta builds systems compliant with GDPR, HIPAA, SOC 2, and OWASP standards. They have experience with ECB regulatory requirements and financial compliance. ## Open Positions - [DevOps Engineer](https://apply.workable.com/j/93E325B2F5): Remote — Kraków - [Infrastructure Engineer](https://apply.workable.com/j/47BEDC5E66): Remote — Kraków - [Product Owner](https://apply.workable.com/j/08E8E87980): Hybrid — Vilnius - [Sales Manager](https://apply.workable.com/j/EDC111517E): Hybrid — Kraków - [Security Architect](https://apply.workable.com/j/4A9A4AAB49): Remote — Kraków - [Senior Data Engineer](https://apply.workable.com/j/865C35D69D): Hybrid — Vilnius - [Senior Data Engineer](https://apply.workable.com/j/06828FD677): Remote — Kraków - [Senior Full-stack Software Engineer (.NET and React)](https://apply.workable.com/j/35C9A7C9A3): Full-time — Vilnius - [Software Engineer with Java](https://apply.workable.com/j/BE335097FA): Remote — Kraków --- # Full Page Content ## Softeta – AI and custom software solutions URL: https://softeta.com/ Type: page Modified: 2026-03-31 AI and custom software solutionsfor We architect and engineer solutions for industries where digital decisions have global impact. Explore solutionsFor the work that can’t stop Automation that replaces manual workflows. Architecture that scales without breaking. Engineering that passes audits.AI and process automationWe automate complex workflows and decision-making processes to reduce errors, increase speed, and improve reliability. System modernization We modernize legacy systems so they connect to modern platforms, automate what used to be manual, and scale under pressure. Custom software systemsWe build software from scratch to match your workflows, handle your cases, and meet compliance requirements off-the-shelf tools ignore. Client outcomesMeasured results from solutions we’ve built. Critical systems delivered on deadline and holding under scale.84%Accuracy in production line sorting via computer vision 1M+Transactions processed daily through rebuilt payment infrastructure 22%Reduction in field technician dispatches after predictive maintenance rollout 1xFaster production scheduling after workflow automation 2xFaster daily inventory sync after integration overhaul 10kAssets tracked in real-time across 23 countries Trusted by industry leadersOperations teams, engineering powerhouses, and product groups who can’t afford to get it wrong. CybersecurityNordVPNWe helped our client build a frontend team from scratch, establish development processes that actually work, and ship a redesigned B2B platform while clearing years of technical debt. View casePropTechPortalPROWe helped our client scale across Europe, cut costs, and speed up operations by replacing manual quoting with AI-driven pricing, automation, and customer chatbot. View caseEnergy and utilitiesEnergesmanWe helped our client cut manual labor by automating their waste material identification and classification process using a custom AI-powered computer vision system. View caseFinanceSEBWe helped our client unify QA practices across five payments teams, replacing fragmented testing strategies with a modern automation framework that cut delivery bottlenecks and caught bugs earlier. View caseWhat we’ve shipped for teams like yours and the results they achievedView case studies“We have been working with Softeta since mid-2022. The main goal of our collaboration has been to strengthen our delivery capacity with additional development and testing expertise in the payments domain. The partnership has been very successful – Softeta has been highly responsive to our needs, and we have onboarded skilled and competent consultants through them.” Nicklas von WachenfeldtHead of Payments 2 @ SEB“We initially partnered with Softeta to strengthen our in-house front-end capabilities and establish more efficient development processes. Since then, our collaboration has grown into a long-term relationship – dedicated React and PHP teams from Softeta are now continuously involved in our projects. What sets them apart is their unique blend of professionalism and approachability as they’re not just experts, they’re a pleasure to work with.” Linas ŠlepikasHead of Engineering @ NordVPN“Working with Softeta has really helped us move faster with our development roadmaps. Provided engineers had the specific knowledge and experience we needed to tackle our challenges effectively. They quickly became part of our team and delivered great results, high quality and on time.” Arūnas VilčinskasVP of Application Platform @ Adform“Softeta has been a strategic technology partner for PortalPro, supporting us across both front-end and back-end development, IT architecture, and quality assurance. Their integrated approach has significantly accelerated our project launch. We continue to rely on their expertise as we scale and evolve our platform.” Paulius JurinasCTO @ PortalPRO“​​Our collaboration with Softeta began with a full system revamp – enhancing back-end performance and modernizing the front end. Since then, they’ve continued to play a key role in optimizing our platform. Softeta consistently identifies process inefficiencies and delivers practical, high-impact solutions. Their technical insight and proactive approach make them a valuable long-term partner.” “Softeta brought a perfect blend of technical depth and practical implementation expertise. From model training to edge deployment, we provided a seamless, end-to-end AI engineering service tailored to the demands of industrial waste management.” Algirdas BlazgysCEO @ EnergesmanHow we do it for youWe architect, build, integrate, and automate. And help you run it. Software engineeringData engineeringCloud engineeringQuality assuranceArchitecture and consultingLooking for a tech partner?Select your project type and submit the form, or contact us for details. --- ## Case studies URL: https://softeta.com/cases/ Type: page Modified: 2026-03-27 Our client success stories Real-world results from critical systems. See how we’ve helped clients cut downtime, boost performance, and scale with confidence. 30%reduction in manual customer request handling via AI-powered process automation 70%cheaper bug detection at component level vs. production through test automation 1xfaster production scheduling after AI-powered workflow automation All IndustriesAutomotiveBusiness operationsCybersecurityEduTechEnergy and utilitiesFinanceHealthcareHuman resourcesPropTechRetailRetailBaltic fashion retail groupFor a major Baltic fashion retail group (name under NDA) Softeta developed and modernized a custom ERP platform that serves as the central hub connecting multiple vendor systems and databases, enabling scalable and efficient retail management. View caseEduTechBbright/ElicejusSofteta built and MVP for BBright/Elicejus – now an award-winning educational platform revolutionizing mathematics. View caseRetailStrongPointSofteta partnered with StrongPoint to revamp their Click & Collect Grocery Locker solution by streamlining the system architecture, improving performance, and enhancing the user experience to meet modern technological standards and customer expectations. View caseAutomotiveCar leasing & Fleet managementSofteta’s expertise in IT consultancy and project management played a pivotal role in transforming a risk management system for a leading car leasing company in the Netherlands. The collaboration resulted in a robust, efficient, and ECB-compliant risk management solution. View caseHuman resourcesRecruitment platformSeeking to revolutionize their recruitment process, the client faced challenges with their fragmented, inefficient systems. These limitations impeded their ability to provide fast and effective recruitment services, a challenge perfectly suited to Softeta’s expertise. View caseBusiness operationsWorkofoSofteta collaborated with Workofo, an innovative startup focused on workflow management solutions, to design and develop technology that optimizes labor scheduling using real-time customer traffic data and specific operational needs. View caseCybersecurityNordVPNWe helped our client build a frontend team from scratch, establish development processes that actually work, and ship a redesigned B2B platform while clearing years of technical debt. View caseAutomotiveQarViewWe helped our client design and deliver a real-time fleet asset management SaaS platform, consolidating OEM telematics, financial, and operational data into a single unified ecosystem. View casePropTechPortalPROWe helped our client scale across Europe, cut costs, and speed up operations by replacing manual quoting with AI-driven pricing, automation, and customer chatbot. View caseEnergy and utilitiesEnergesmanWe helped our client cut manual labor by automating their waste material identification and classification process using a custom AI-powered computer vision system. View caseFinanceSEBWe helped our client unify QA practices across five payments teams, replacing fragmented testing strategies with a modern automation framework that cut delivery bottlenecks and caught bugs earlier. View caseHealthcareGemmaSofteta developed, Gemma Smart Care, is a web and built using modern open‑source technologies. The system comprises various care management aspects – schedules appointments, manages care plans, maintains resident records and coordinates care with healthcare providers. View caseRetailBaltic fashion retail groupFor a major Baltic fashion retail group (name under NDA) Softeta developed and modernized a custom ERP platform that serves as the central hub connecting multiple vendor systems and databases, enabling scalable and efficient retail management. View caseEduTechBbright/ElicejusSofteta built and MVP for BBright/Elicejus – now an award-winning educational platform revolutionizing mathematics. View caseRetailStrongPointSofteta partnered with StrongPoint to revamp their Click & Collect Grocery Locker solution by streamlining the system architecture, improving performance, and enhancing the user experience to meet modern technological standards and customer expectations. View caseAutomotiveCar leasing & Fleet managementSofteta’s expertise in IT consultancy and project management played a pivotal role in transforming a risk management system for a leading car leasing company in the Netherlands. The collaboration resulted in a robust, efficient, and ECB-compliant risk management solution. View caseHuman resourcesRecruitment platformSeeking to revolutionize their recruitment process, the client faced challenges with their fragmented, inefficient systems. These limitations impeded their ability to provide fast and effective recruitment services, a challenge perfectly suited to Softeta’s expertise. View caseBusiness operationsWorkofoSofteta collaborated with Workofo, an innovative startup focused on workflow management solutions, to design and develop technology that optimizes labor scheduling using real-time customer traffic data and specific operational needs. View caseCybersecurityNordVPNWe helped our client build a frontend team from scratch, establish development processes that actually work, and ship a redesigned B2B platform while clearing years of technical debt. View caseAutomotiveQarViewWe helped our client design and deliver a real-time fleet asset management SaaS platform, consolidating OEM telematics, financial, and operational data into a single unified ecosystem. View casePropTechPortalPROWe helped our client scale across Europe, cut costs, and speed up operations by replacing manual quoting with AI-driven pricing, automation, and customer chatbot. View caseLooking for a tech partner?Select your project type and submit the form, or contact us for details. --- ## Cloud Engineering URL: https://softeta.com/services/cloud-engineering/ Type: page Modified: 2026-03-27 **Q: Which cloud providers do you work with?** A: Some clients use AWS or Azure, others have multi-cloud setups for redundancy or vendor requirements. We work with whatever you have and recommend changes only when there's a clear reason. **Q: Can you help reduce our cloud costs?** A: Usually, yes. Most organizations overpay because of oversized instances, forgotten resources, or wrong pricing models. We audit what you're running, right-size what's over-provisioned, and set up alerts before bills surprise you. Savings could reach as high as 40% without changing anything about how your applications work. **Q: Do we need Kubernetes?** A: It depends. Kubernetes makes sense at scale, with multiple teams, frequent deployments, and workloads that benefit from container orchestration. For smaller setups, simpler options often work better and cost less to operate. We'll give you an honest answer based on your actual situation. What we can build for you Infrastructure that deploys itself, scales when needed, and costs what it should. Infrastructure automation Container platforms Deployment pipelines Cloud migration Clicking through AWS console to provision servers is fine for experiments. It falls apart when you need three environments, consistent configurations, and an audit trail of who changed what. We write infrastructure as code, your entire stack defined in version-controlled files. Spin up a new environment in minutes. Tear it down when you're done. Know exactly what's running and why. No more "it works on my machine" problems between staging and production. No more mystery resources that nobody remembers creating. No more two-day projects to replicate an environment for a new client. Kubernetes solves real problems. It also creates new ones. Networking that breaks in ways nobody understands. YAML files that multiply until nobody can find anything. Clusters that cost a fortune because nobody configured resource limits. We build container platforms that simply work. Think sensible defaults and resource quotas, and networking policies that don't require a PhD to debug. EKS, GKE, AKS, or self-managed – we'll tell you honestly when managed Kubernetes makes sense and when you're paying for complexity you don't need. Your developers shouldn't spend Friday afternoons manually deploying code and hoping nothing breaks over the weekend. They shouldn't wait three days for "DevOps" to approve a configchange. We build CI/CD that gets out of the way. Push to main, tests run, code deploys. Automated rollbacks when health checks fail. Feature flags for gradual rollouts. Deployment logs that show exactly what changed and when. GitHub Actions, GitLab CI, Jenkins, ArgoCD – whatever integrates with your workflow. The goal is deployments "boring enough" that nobody worries about them. Moving from on-prem to cloud is way more than a weekend project. So is switching from one cloud provider to another. All because applications have dependencies, data has gravity, and teams have habits. We plan migrations keeping in mind that lift-and-shift when speed matters. We suggest re-architecture only when it's worth the investment. And we only build hybrid setups when some workloads genuinely belong on-prem. **Q: What if we don't have any DevOps expertise in-house?** A: Common situation. We can own infrastructure end-to-end (setup, maintenance, on-call) or build everything with documentation and training so your team can take over. Most clients start with full support and gradually bring operations in-house as they hire. **Q: How do you handle security and compliance?** A: From the start, not as an afterthought. Network segmentation, IAM policies with least privilege, encrypted storage, audit logging. If you have specific compliance requirements, for example, SOC 2, ISO 27001, or industry-specific regulations, we build infrastructure that passes audits. **Q: What's the difference between cloud engineering and DevOps?** A: Mostly terminology. We build infrastructure, automate deployments, and keep systems running reliably. Call it cloud engineering, DevOps, platform engineering, SRE – the work is the same. Tech stack Languages, frameworks, and infrastructure our engineers use daily to build and maintain systems in production. Cloud platforms AWS Google Cloud Azure DigitalOcean Hetzner Infrastructure as Code Terraform Pulumi AWS CloudFormation Azure Bicep Ansible Chef Puppet Containers and orchestration Docker Kubernetes Amazon EKS Google GKE Azure AKS Nomad Docker Swarm CI/CD GitHub Actions GitLab CI Jenkins ArgoCD CircleCI Bitbucket Pipelines Flux Service mesh and networking Istio Linkerd Envoy Traefik NGINX Cilium Secrets and configuration HashiCorp Vault AWS Secrets Manager Azure Key Vault SOPS External Secrets Operator Monitoring and observability Prometheus Grafana Datadog New Relic CloudWatch Azure Monitor Loki Jaeger OpenTelemetry Logging Elasticsearch Logstash Kibana (ELK) Fluentd Fluent Bit Grafana Loki Incident management PagerDuty Opsgenie Incident.io Statuspage --- ## Quality Assurance URL: https://softeta.com/services/quality-assurance/ Type: page Modified: 2026-03-27 **Q: Should we automate everything?** A: No. Automation costs time to write and maintain. We automate what runs often: smoke tests, regression suites, critical paths. Exploratory testing, usability reviews, and edge case hunting stay manual. The right mix depends on how often you release and what breaks most. **Q: How do you work with our existing development team?** A: However works best. Embedded QA engineers who join your standups and test alongside developers. Separate QA cycles before releases. Consulting on test strategy while your team executes. Most clients start with more involvement and reduce as their own QA practice matures. **Q: What if we have no tests at all right now?** A: Quite common starting point. We begin with critical paths: login, checkout, core workflows that absolutely cannot break. Build coverage incrementally. A focused test suite that actually runs beats a comprehensive plan that never gets implemented. What we can build for you Testing that catches problems before your users do. Test automation Manual testing Performance testing Security testing Manual testing doesn't scale. Your team can't click through every flow before every release. They'll miss the edge case that breaks payments for customers in Portugal. They'll forget that one form that nobody's touched in six months. We write automated tests that run on every commit. Unit tests that verify logic. Integration tests that catch API contract breaks. End-to-end tests that simulate real user flows. Tests that finish in minutes so developers don't skip them. Playwright, Cypress, Selenium for browsers. Jest, pytest, JUnit for code. Postman, REST Assured for APIs. Tests that live in your repo and fail loudly when something breaks. Automation catches known problems. Humans find the weird ones. Like the flow that technically works but confuses everyone or the button that's impossible to tap on small screens. We do exploratory testing that thinks like your users and like people trying to break things. For those edge cases the spec didn't cover and workflows nobody designed but everyone uses. Your application works fine with 500k users. What happens with 50M? What happens on Black Friday when traffic spikes 20x? Or when that one slow database query gets hit by 1000 concurrent requests? We run load tests that answer these questions before production answers them for you. Identify bottlenecks. Find the query that needs an index. Discover the service that falls over at 200 requests per second. JMeter, k6, Gatling, Locust – tools matched to what you're testing. Realistic traffic patterns in place of just "hammer the server and see what breaks." Your penetration test shouldn't be performed by attackers. We find vulnerabilities before they become incidents: injection flaws, authentication bypasses, exposed endpoints, secrets in code. Forget the 200-page PDF that nobody reads. Our work results in clear reports with severity ratings and remediation steps. Findings you can actually fix, prioritized by real risk. **Q: Do you do manual testing or just automation?** A: Both. Automation catches regressions. Manual testing finds new problems, usability issues, and the things nobody thought to automate. We adjust the balance based on your product maturity and release frequency. **Q: How fast can automated tests run?** A: Depends on what you're testing. Unit tests – seconds. Integration tests – minutes. Full end-to-end browser tests – longer, but we parallelize across machines. Target for most teams: complete test suite under 15 minutes so developers don't skip it. **Q: How do you report bugs?** A: Clear, actionable tickets. Steps to reproduce. Expected vs. actual behavior. Screenshots or video. Environment details. Severity assessment. Everything a developer needs to fix it without asking follow-up questions. Tech stack Languages, frameworks, and infrastructure our engineers use daily to build and maintain systems in production. Browser and E2E testing Playwright Cypress Selenium Puppeteer TestCafe Unit and integration testing Jest pytest JUnit NUnit xUnit Mocha Vitest RSpec API testing Postman REST Assured Insomnia Hoppscotch Pact Karate Mobile testing Appium XCTest Espresso Detox Maestro BrowserStack Sauce Labs Performance and load testing k6 JMeter Gatling Locust Artillery Apache Benchmark Security testing OWASP ZAP Burp Suite Snyk Dependabot Trivy SonarQube Semgrep Test management TestRail Zephyr Xray qTest Allure Mocking and test data WireMock MockServer Faker Factory Bot Fishery --- ## Building scalable cloud infrastructure for enterprise applications URL: https://softeta.com/blog/building-scalable-cloud-infrastructure-for-enterprise-applications/ Type: post Modified: 2026-03-27 At Softeta, we’ve been running cloud infrastructure for enterprise clients since we started in 2020. Across 50+ engagements, I noticed that the teams that struggle at scale are almost always fighting an organizational problem with a technical tool. Enterprise scaling breaks at the coordination layer When a startup goes down for twenty minutes, they post an apology on X.com. When an enterprise bank goes down for ten, it triggers SLA penalties plus a formal incident report that gets reviewed by compliance officers who’ve never opened a terminal. At SEB, one of the largest banks in Northern Europe, five payments teams had each built their own QA process when we started in mid-2022. Duplicated test suites, UI-heavy testing that didn’t fit their microservice setup. Getting all of those teams to agree on how testing should work is harder than it looks. We aligned them under one QA strategy with component level testing and shared end-to-end suites. In our work at SEB, bug detection at the component level became 70% cheaper than catching those same issues in production. That’s a coordination outcome and it showed up as a technical metric. Your usual cloud architecture articles tend to skip this part and jump straight to service decomposition patterns. Thing is, your architecture can only be as good as the organization running it. Then there’s the compliance layer. A European financial client might need their transaction data in Frankfurt, their user data processed under GDPR, and audit logs kept for seven years, so your “cloud migration” turns into a hybrid setup because legal and procurement each made their own decisions before engineering was in the room. Believe it or not, this is very common for large European companies. Cloud costs grow quietly, then somebody in finance notices Flexera’s 2025 State of the Cloud Report puts wasted cloud spend at 27%. The 2026 followup bumped it to 29%, and it’s the first increase in five years. That trend clearly shows the problem isn’t getting solved by default and businesses are getting worse at it despite more tooling than ever. The waste pattern often looks like this: dev environments running around the clock on production-sized instances, autoscaling minimums set after a traffic spike six months ago and never revisited. Individual charges look small on their own. Then finance pulls a quarterly report and asks why you’re at 180,000 EUR when the budget was 120,000 EUR. The fix is straightforward: tag every resource with the owning team and build a spend dashboard by service. And yet, you’d be surprised how many companies don’t do this. When engineers can see that their service costs 8,000 EUR a month and most of it is an oversized RDS instance, they fix it on their own. In some of our client work, systematic tagging and weekly reviews have cut infrastructure costs by 30% and IT costs by 40%. Those numbers don’t come from a one time audit, but from making the costs visible to the people who control them. Reserved instances for steady state production workloads save real money too. Spot instances work well for batch jobs and CI/CD runners that can handle interruptions. Splitting services is a business call Does your payment processor need to share a database connection pool with your PDF generator? If one spikes, do you want both going down? I’d be shocked if the answer is yes. Our client PortalPRO connects property managers with vetted contractors. They needed pricing and email parsing handled alongside chatbot queries, and those workloads don’t scale the same way. We split them into separate services on .NET Core with Kafka handling the async layer. They expanded into Spain and Portugal without expanding the team, and their manual request handling dropped by 30%. We pair relational databases for transactional work with DynamoDB or Elasticsearch on the read side. Your reporting team will lose their cross-service JOINs and they’ll complain about it. A single Postgres instance bottlenecking all your services is a worse outcome. And splitting the databases forces a conversation about data ownership that most organizations have been avoiding. On one e-commerce project, separating the services eliminated outages that kept occurring when marketing pushed a campaign. The campaign spiked the frontend, the frontend choked the backend, and everything went down together. Once the said services were independent, the chain reaction was eliminated for good. Of course, not every workload needs this treatment. If you have three services with stable traffic, you’d be adding complexity for no good reason. Ultimately, the split is a business decision and should not be treated as an architectural default. If your infrastructure lives on one laptop, nothing else matters One of our mid-sized clients told me a remarkable story. They had a “senior” engineer who ran terraform apply from his machine. He was the only one who knew the production state and the only one who could make changes. Then he took a summer vacation and, predictably, infrastructure changes froze for weeks. Unfortunately, versions of this story are not that rare. HashiCorp’s 2024 Cloud Strategy Survey found that 90% of organizations use provisioning tools, but only 8% qualify as highly mature in cloud operations. The gap between “we use Terraform” and “we actually operate well” is where most teams live. The point of Terraform is that everything goes into version control and someone must review the diff before someone else hits apply. ArgoCD on the Kubernetes side watches the Git repo and flags any configuration drift. That way you no longer have to guess who changed what in production. For a Baltic retail group with 180+ stores and 2,200 employees, we modernized an ERP running on .NET Framework with no automation pipelines. After moving to Azure DevOps with version control, security vulnerabilities dropped by 90% and deployments got substantially faster. You either have infrastructure defined in a Git repo the whole team can work with, or you have one person who is the single point of failure for your entire production environment. The second one always costs more than it should. Kubernetes earns its complexity past a certain threshold The case for Kubernetes is simple: past a certain scale, nothing else does what it does. The case against it is equally simple: that threshold is higher than most people think. We use managed services like EKS or GKE because running your own control plane wastes engineering time unless compliance forces it. Even with managed, there’s a lot to get right before your first real deploy. DORA’s 2025 report found that 90% of organizations now have some kind of internal platform. That tells you the problem is doing it well rather than adoption alone. Namespace isolation and resource quotas are things we set up from day one. If one team’s runaway pod can starve every other service on the cluster, you’ll find out at the worst possible moment. A trap we keep seeing is autoscaling that hasn’t been load-tested. “Scale at 70% CPU” sounds fine, but then peak traffic arrives, and it turns out the new pods take 45 seconds to come up while the load balancer needs another 30. That 75-second gap crushes the existing pods. For that reason we load-test every autoscaling config before it goes to production. Kubernetes is also overkill for a lot of workloads. Got three services with steady traffic? ECS or Cloud Run gets you there at a fraction of the operational cost. Multi-cloud is almost never something you planned for Most multi-cloud setups aren’t by design, but rather by inheritance. Company B gets acquired by Company A. One is using AWS, the other Azure. Now you have two clouds with two billing accounts, and two engineering microcultures unwilling to merge. But hey – the integration timeline was supposed to fix this, right? HashiCorp reports that 91% of enterprises waste money in the cloud. Multi-cloud makes it worse because you’re duplicating identity management and monitoring across providers with different abstractions. The obvious advice is to stick with one provider whenever possible. Most lock-in comes from managed services like RDS and DynamoDB, and those are worth keeping because they shrink your operational surface. Containerized workloads transfer between clouds more easily than VM based ones if you ever do need to move. At QarView, we stayed on Azure for their fleet management SaaS. Four engineers delivered a multi-tenant platform in twelve months, and manual fleet operations dropped by 70%. Staying on one cloud was one of the reasons that such a small team could ship extremely fast. When you’re not managing two sets of IAM policies and two monitoring stacks, you can put that engineering time into the product. Terraform helps if you do end up multi-cloud, because you manage resources across providers with one workflow. But I’d still push hard to avoid it if you can. Security problems compound faster than any other kind of debt We start every engagement with zero trust networking now. The old “everything inside the VPC is trusted” model stopped working once service counts grew past a handful. We authenticate every service-to-service call, either with mTLS through Istio or with IAM roles. IAM is where the real damage piles up quietly. Someone can’t deploy, gets AdministratorAccess as a temporary fix, and that permission is still there two years later. We run quarterly IAM audits going through every role. But to be honest, I’m not sure monthly would be overkill. On our car leasing and fleet management engagement that was ECB-regulated with operations in 30+ countries, we put 150 controls in place addressing more than 50 key risks. Building for compliance from day one is what makes it manageable. Retrofitting SOC 2 or ISO 27001 onto a system that wasn’t built for it is engineering hell. So start the compliance work on day one if you know an audit is coming. That way it’s cheaper and you will save yourself a lot of headaches. You need observability before you think you need it When a customer reports that checkout is slow, you need to trace that request through a dozen services and find the delay in a sequential scan on a 50 mil row table. That’s what observability looks like in practice. Dashboards with green lights just aren’t it. Datadog handles our metrics on most projects. For clients who are self-hosting, we use Grafana with Prometheus and OpenTelemetry for the distributed traces. On one project, retrofitting tracing across 30 services took months. Adding it to each service as you build is an afternoon of work. The difference in effort is hard to argue with once you’ve lived through the retrofit. It also changes how your team handles incidents. You stop guessing which service is slow and restarting things until the problem goes away. You look at a trace instead. There’s one additional rule we enforce: if the on-call team hasn’t acted on an alert in the past month, we straight up delete it. Noisy alerts train people to ignore the real ones. Start with the boring stuff Go pull up your cloud console and count how many of your roles have AdministratorAccess. Then check if your dev environments are still running on production sized instances. Look at where your last terraform apply came from. If it ran from someone’s laptop, that’s worth fixing before you do anything else. If any of those answers bother you, that’s where you start. The things that actually matter at scale are seldom architecturally interesting. But they’re also the things that silently compound to the point of breaking you when you skip them. --- ## AI and Process Automation URL: https://softeta.com/solutions/ai-and-process-automation/ Type: page Modified: 2026-03-27 **Q: Do you start with a proof of concept or go straight to production?** A: We don’t build demos that die in a slide deck. Instead, we start with a production-oriented pilot that proves value on real data, under real constraints. If it works, it scales. If it doesn’t, you’ll know early and cheaply. **Q: What data do we need to get started with AI-powered automations?** A: You don’t need “perfect data.” You need accessible data. We work with what you already have, then fix structure, validation, and access issues as part of the build. Data readiness is usually a systems problem, not a data science one. **Q: How do you handle security, audits, and compliance?** A: We design for audits from day one. That means traceable outputs, logged decisions, controlled access, and clear ownership. If your industry has regulatory pressure, we build the system so it can explain itself when asked. The practical AI guide for critical systems How to build AI solutions that create measurable value for your business, withstand audits, and survive real users under load. **Q: Will your AI/automation solutions replace our existing tools or integrate with them?** A: Almost always integrate. Most teams already have CRMs, ERPs, ticketing systems, or internal tools. We build automation and AI to work inside your stack, not force a rip-and-replace. **Q: How do you decide what should be automated and what shouldn’t?** A: We automate where errors are expensive and rules are clear. We assist where judgment matters. And we leave workflows alone when automation would slow people down. Knowing the difference is part of the job. **Q: How do you measure AI/automation solution success?** A: We measure aspects of your business you already care about: time saved, errors reduced, response times, SLA breaches, audit effort, and cost per transaction. If the numbers don’t move, the system isn’t done. --- ## System modernization URL: https://softeta.com/solutions/system-modernization/ Type: page Modified: 2026-03-27 **Q: Do you always recommend a full rewrite?** A: No. Full rewrites are expensive, risky, and often unnecessary. We wrap, extend, or migrate in layers, depending on what actually needs to change. Most systems have parts worth keeping. **Q: How long until we see results?** A: Security fixes and CI/CD pipelines usually land in weeks. Measurable improvements (deployment speed, fewer incidents, lower costs) typically show up within 3–6 months. Full modernization runs 6–12 months depending on scope. **Q: What if our system is undocumented and only one person understands it?** A: That's common. We start with a diagnostic phase that maps what exists, identifies risks, and builds knowledge outside of any single person's head. The goal is to make the system changeable again. Legacy system modernization that works How to modernize without betting the business on a rewrite that takes two years and still might fail. **Q: Will modernization disrupt our live operations?** A: We run legacy and new systems in parallel. Users migrate gradually. Rollback paths stay open. The business keeps running while the system gets fixed underneath. **Q: How do you handle compliance and security during the transition?** A: Security gaps get fixed first, before structural work begins. We implement access controls, secret management, encryption, and audit trails early. Compliance posture improves from day one. **Q: How do you measure success?** A: Deployment time, change failure rate, incident recovery, uptime, infrastructure cost, developer hours saved. If the numbers don't move, the work isn't done. --- ## Data Engineering URL: https://softeta.com/services/data-engineering/ Type: page Modified: 2026-03-27 **Q: How do you handle data quality issues?** A: At the source when possible, during ingestion when necessary. We build validation into pipelines: schema checks, null handling, deduplication, anomaly detection. Bad records get quarantined and logged, not silently dropped or passed through to break downstream reports. **Q: Can you work with our existing data infrastructure?** A: Yes. Most clients aren't starting from zero. We integrate with existing warehouses, extend current pipelines, and migrate workloads incrementally. No "rip and replace everything" proposals. **Q: What if our data sources are messy or undocumented?** A: That's normal. We start with discovery: profile what exists, document what we find, identify gaps. Messy sources don't go away, but we can build pipelines that handle the mess reliably. What we can build for you Let us handle the plumbing so that the scattered data turns into information you can rely upon when making decisions. Data pipelines Data warehouses Streaming systems Data integration Moving data from A to B sounds simple. It's not. Sources change formats without warning. Upstream systems go down at 2 AM. A vendor "updates" their API and breaks your integration. One malformed record corrupts a downstream report that executives read every Monday. We build pipelines that handle the mess. Schema validation. Dead letter queues for bad records. Automatic retries with exponential backoff. Monitoring that tells you what broke and where before anyone notices the dashboard is stale. Batch or streaming, cloud or on-prem – the pipelines we build run reliably without anyone thinking about them. Your analysts shouldn't wait 20 minutes for a query to finish. And your finance team shouldn't maintain their own Excel files because the official reports don't have what they need. We design warehouses that answer the questions people actually ask. Dimensional models that make sense to business users. Incremental loads that keep data fresh without rebuilding everything nightly. Query performance tuned for your actual access patterns, not theoretical benchmarks. Some data can't wait for a nightly batch job. Fraud detection, real-time pricing, or inventory updates: when minutes matter, you need systems that process events as they happen. We build streaming infrastructure that handles bursts without falling over. Kafka, Kinesis, Pulsar for ingestion. Flink, Spark Streaming, or custom consumers for processing. State management that survives restarts. Exactly-once semantics where it matters. Your data lives in multiple different systems. CRM, ERP, payment processor, three SaaS tools, two legacy databases, and a vendor that only exports CSV. Getting a single view of anything means pulling from all of them. We build integrations that sync data reliably across systems. CDC from operational databases. API connectors that handle rate limits and pagination. File ingestion that deals with inconsistent formats. Master data management when the same customer exists in five systems with five different IDs. No magical "single source of truth" promises. Just working integrations that keep your data reliable and consistent to be useful. **Q: Do you build dashboards and reports too?** A: When needed. We work with Metabase, Looker, Tableau, Power BI – whatever your team uses. But we focus on the infrastructure underneath. If you have analysts who build their own dashboards, we make sure they have clean, fast, reliable data to work with. **Q: How do you handle sensitive data and compliance?** A: Carefully. We implement column-level encryption, masking, row-level security, and audit logging based on your regulatory requirements. GDPR, SOC 2, industry-specific rule. We've built compliant pipelines before and know what auditors look for. **Q: What's the difference between hiring you vs. using a managed ETL tool?** A: Managed tools work great until they don't. When your use case doesn't fit the template, when performance degrades, when you need custom logic, you're stuck. We build infrastructure you control, using tools you can extend, with logic you can modify when requirements change. Tech stack Languages, frameworks, and infrastructure our engineers use daily to build and maintain systems in production. Languages Python SQL Scala Java Go Pipeline and orchestration Apache Airflow Dagster Prefect dbt Apache NiFi Fivetran Airbyte Stream processing Apache Kafka Apache Flink Spark Streaming Amazon Kinesis Google Pub/Sub Azure Event Hubs Batch processing Apache Spark pandas Polars Dask Apache Beam Data warehouses Snowflake BigQuery Amazon Redshift Azure Synapse Databricks ClickHouse Data lakes and storage Delta Lake Apache Iceberg Apache Hudi Amazon S3 Google Cloud Storage Azure Data Lake Databases PostgreSQL MySQL MongoDB DuckDB TimescaleDB InfluxDB Data quality and observability Great Expectations Monte Carlo dbt tests Soda BI and visualization Metabase Looker Tableau Power BI Apache Superset Infrastructure Docker Kubernetes AWS Google Cloud Azure Terraform --- ## Architecture and Consulting URL: https://softeta.com/services/architecture-and-consulting/ Type: page Modified: 2026-03-27 **Q: What's the difference between discovery and just starting the project?** A: Discovery answers "what exactly are we building and is it feasible?" before you hire the full team. Two weeks of discovery can save months of building the wrong thing. It's cheaper to change a document than to change code. **Q: What's the difference between consulting and actually building?** A: Consulting answers "what should we build and how?" Building answers "here's the working system." Some clients need a roadmap their team can execute. Others need us to design and build. Many start with consulting and move to implementation once the plan is solid. **Q: How long does an architecture engagement typically take?** A: Depends on scope. Project discovery: 2-4 weeks. A focused assessment of one system: 2-3 weeks. Full technical due diligence for an acquisition: 3-4 weeks. Architecture design for a new platform: 4-8 weeks. We scope based on what decisions you need to make and when. What we can build for you Technical guidance for decisions that are expensive to reverse. Project discovery Architecture design Technical assessments Modernization strategy You have a business problem. Perhaps a product idea. Maybe a system that needs replacing. What you need is a clear picture of what building it actually requires: scope, timeline, cost, risks, technical approach. We run project discovery phase that answers these questions before you commit resources. Stakeholder interviews to understand what people actually need, not just what they asked for. Technical research to identify constraints and options. Prototypes when concepts need validation. Deliverable: a project definition you can staff, budget, and schedule against. Scope documented. Assumptions explicit. Risks identified. The work that prevents six-month projects from becoming eighteen-month disasters. Your system needs to handle 10x current load in two years. You're adding a mobile app to a platform built for desktop. You're integrating an acquisition that runs on completely different technology. Now what? We design architectures that solve your actual problem. Scalability where you need it, simplicity where you don't, and diagrams your developers can actually understand. Architecture matched to your team size, deployment frequency, and growth trajectory. Something feels wrong but you can't pinpoint it. Deployments take too long. The system slows down unpredictably. The codebase has grown faster than anyone can understand. Your team says they need to rewrite everything but can't explain why. We cover code quality, test coverage, dependency health, security posture, infrastructure costs. We conduct interviews with engineers and analysis that separates real issues from complaints about tooling preferences. We document findings documented with severity, effort to fix, business impact, and a prioritized list of what to address first. Your core system runs on technology from 2008. The developers who built it left years ago. Vendors are dropping support. New hires don't want to work on it. But it still runs the business, and you can't just turn it off. We plan modernization that doesn't bet the company. Incremental migration paths. Strangler fig patterns that replace pieces without stopping operations. Realistic timelines that account for the fact that you still need to ship features while modernizing. And sometimes the answer is "don't modernize, but maintain." We'll tell you when the cost of change exceeds the cost of keeping things running. Not every legacy system needs to become microservices. **Q: Do you just produce documents, or do you stick around for implementation?** A: Your choice. Some clients want a blueprint and can execute independently. Others want us involved through implementation to make sure the architecture survives contact with real code. We're not precious about it – whatever gets you to the outcome. **Q: What if your recommendation is "don't build this"?** A: Then that's what we'll tell you. Discovery sometimes reveals that the problem doesn't need custom software because an off-the-shelf tool works. Or that the market assumptions don't hold up. We get paid to give honest assessments, not to generate implementation work **Q: Can you help if we don't have technical leadership in-house?** A: Yes. We've acted as fractional CTO, technical advisors to boards, and translators between business leadership and engineering teams. Temporary support while you hire, or ongoing advisory relationships – whatever fills the gap. Tech stack Languages, frameworks, and infrastructure our engineers use daily to build and maintain systems in production. Diagramming and documentation Miro FigJam Lucidchart draw.io Excalidraw Notion Confluence Arc42 Architecture frameworks C4 Model TOGAF Domain-Driven Design Event Storming Wardley Maps Code analysis and assessment SonarQube CodeClimate Codacy Snyk Semgrep Dependabot CLOC Prototyping and validation Figma Storybook CodeSandbox StackBlitz Postman Performance profiling Datadog New Relic Dynatrace Lighthouse WebPageTest pgAnalyze Infrastructure review AWS Well-Architected Tool Infracost Checkov tfsec CloudCraft --- ## Contact us URL: https://softeta.com/contact-us/ Type: page Modified: 2026-03-27 Looking for a tech partner? We work best with teams who care about long-term results. Whether you need a tech partner, a second opinion, or a full build – let’s talk. Select your project type and submit the form, or contact us for details. Our locationsVilnius, LithuaniaŽalgirio str. 135, LT08217, Vilnius, Lithuania View on Google Mapshello@softeta.com+370 672 47301Kraków, PolandUl. Zakopiańska 108, 30-435 Kraków, Poland View on Google Mapshello@softeta.com+48 694 599 475 Ways we collaborate with you A transparent, flexible approach designed around your goals. No endless sales callsYou’ll talk to senior delivery, not SDRs. Quick feedback loopsWe get to the point – expect thoughtful follow-ups instead of canned replies. Fit-first mindsetIf we’re not the right fit, we’ll tell you, and point you toward someone who is. --- ## Software engineering URL: https://softeta.com/services/software-engineering/ Type: page Modified: 2026-03-27 **Q: What technologies do you work with?** A: Whatever solves your problem. We're not a "React shop" or a ",NET house." Our engineers work across stacks – Python, TypeScript, .NET, Rust – and pick tools based on your requirements, existing systems, and team capabilities. **Q: Can you work with our existing codebase?** A: Yes. Most projects aren't greenfield. We inherit legacy systems, undocumented APIs, and code the original authors left years ago. We'll audit what you have, identify what's worth keeping, and build from there. **Q: Do you handle the full product or just the code?** A: Both. Some clients need end-to-end: architecture, development, deployment, monitoring. Others have their own DevOps and just need engineering capacity. We adapt to how your team works. What we can build for you Backend to frontend, cloud to device. Pick the layer and we'll handle the engineering. Backend systems Desktop applications Mobile applications Web applications The engine room. APIs that handle 10,000 requests per second. Data pipelines that chew through terabytes overnight. Integration layers that make your 2001 mainframe talk to your 2026 microservices. Most backend problems are actually about making things work when traffic spikes and the on-call engineer is asleep. We build for that. Every system ships with logging, metrics, and alerts that catch problems before users notice. Tech choices? PostgreSQL, Redis, Kafka, Kubernetes – whatever fits your actual load patterns and team capabilities. We don't chase trends. When your engineers inherit a system from us, they can read the code, understand the architecture, and extend it without calling us. Some work can't happen in a browser tab. Traders need a persistent workspace with dozens of open windows and keyboard shortcuts that don't conflict with Chrome. Production line operators need real-time data feeds that don't stutter. Analysts need to keep working when the WiFi drops. Desktop applications talk directly to hardware, access local files without permission dialogs, and run offline. For people who spend eight hours a day in one application, these differences matter. We build with Electron when cross-platform reach matters, native frameworks when performance is non-negotiable. Fast startup. Responsive UI. Crash recovery that doesn't lose work. The applications we ship get used daily by people who notice when something is slow. Professional teams and B2C consumer app users aren't that different in the sense that both need software that works where they are. Elevators. Rural dead zones. Their phones lose signal, run out of battery, crash mid-transaction, and get replaced with new devices that need to restore state. We build for all of it. Offline-first data models. Conflict resolution when two devices edit the same record. Background sync that doesn't drain battery in two hours. Swift and Kotlin when you need platform-specific features. Flutter or React Native when you need to ship faster. Push notifications that actually arrive. Cameras, GPS, and Bluetooth that work across device manufacturers. App store approvals handled without last-minute rejections. Zero installation. Instant updates. Access from any device. Web wins when deployment speed and reach matter more than raw performance. Internal dashboards for 50 users. Customer portals for 50,000. Full SaaS platforms. Single-page applications for complex workflows, server-rendered pages for content-heavy sites. React, Svelte, Vue, whatever fits your team – framework debates waste time. Performance the goal. We measure Core Web Vitals, optimize bundle sizes, lazy-load what users don't need yet. Security baked in: authentication that doesn't leak tokens, input validation that stops injection attacks, audit logs that satisfy compliance. Your web app loads fast, stays secure, works on the browsers your actual users run. **Q: What happens after launch?** A: We don't disappear. Most clients keep us on for maintenance, feature development, and on-call support. Systems need updates, dependencies need patching, and requirements change. We plan for that from day one. **Q: How do you handle projects that need to integrate with third-party systems?** A: Carefully. We've connected banking cores, ERP systems, IoT devices, and government APIs. Integration work is 80% reading documentation and handling edge cases. We budget time for the reality that external systems rarely behave as documented. **Q: What if we're not sure exactly what we need yet?** A: That's normal. We can start with a discovery phase – map your current systems, clarify requirements, prototype approaches, before committing to a full build. Better to spend two weeks validating an idea than six months building the wrong thing. Tech stack Languages, frameworks, and infrastructure our engineers use daily to build and maintain systems in production. Languages Backend frameworks .NET Fastify Express Hono FastAPI Spring Boot Laravel Symfony Ruby on Rails Fiber Django Node.js Flask Web frameworks React Vue Angular Nuxt Next.js TanStack Start Svelte Mobile Swift (iOS) Kotlin (Android) Flutter React Native Desktop Electron .NET WPF Qt Databases Oracle MS SQL PostgreSQL MySQL MongoDB Redis Elasticsearch Pinecone Neo4j DynamoDB Snowflake BigQuery DuckDB SQLite Messaging and integration Kafka RabbitMQ gRPC REST GraphQL WebSockets MQTT Amazon EventBridge Google Pub/Sub Azure Service Bus / Event Hubs Infrastructure Docker Kubernetes AWS Google Cloud Azure C++ C# Rust COBOL Java Go TypeScript JavaScript Python Kotlin Swift PHP Ruby Elixir --- ## Custom software systems URL: https://softeta.com/solutions/custom-software-systems/ Type: page Modified: 2026-03-27 **Q: How long does a custom software project typically take?** A: Depends on scope. A focused internal tool might take 3-4 months. A full client-facing platform with integrations, 6-12 months. We scope in phases so you see working software early, not just at the end. **Q: What if our requirements change mid-project?** A: They usually do. We work in iterations specifically because priorities shift. Changes are easier to absorb when you're building in short cycles with regular releases. **Q: Can you work with our existing systems and tech stack?** A: Yes. Most of our work involves integrating with what you already have: ERPs, CRMs, payment systems, legacy databases. We adapt to your environment, not the other way around. How to build an ERP system that actually fits your business The ultimate guide to stopping customizing software that fights you and building systems around your operations instead. **Q: Do you handle maintenance after launch?** A: Yes. We offer ongoing support and maintenance agreements. Most clients stay with us post-launch because the team already knows the system inside out. **Q: How do you ensure the software will perform under load?** A: We design for your expected traffic from day one. This included load testing, database optimization, caching strategies. Performance isn't an afterthought we bolt on before launch. **Q: What's your approach to security?** A: Security is built into architecture decisions, not added as a layer. We follow OWASP guidelines, conduct code reviews, and can work within compliance frameworks like GDPR, HIPAA, or SOC 2 depending on your industry. --- ## About URL: https://softeta.com/about-us/ Type: page Modified: 2026-03-27 About Softeta We are a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialize in building and modernizing backend-heavy, integration-critical systems where speed, accuracy, and reliability are non-negotiable. e embed ourselves directly into client operations delivering custom software, automation, and AI where they drive the most value. Behind the code The hearts and minds driving your success. Join our team today Join a team of engineers and architects who build systems that make lives easier for millions of people around the globe. What we believe in Five things we don't compromise on, even under deadline pressure. Sustainability We operate by employing practices that have positive environmental and social impacts. Softeta by the numbers Key metrics that define us. Transparency We are upfront about challenges, how we tackle them, and where your project stands. Reliability We deliver on promises, meet deadlines, and produce top-of-the-line outcomes. Speed We value your time and work fast without sacrificing quality. Respect We foster an inclusive environment where everyone is valued and treated with dignity. Pranas Šileika Co-Founder | CEO Implementing his broad experience in business, networking, and communications, Pranas brings creative thinking to IT, making the solutions innovative and original. Justas Selenkovas Co-Founder | Chief Business Development Officer Over 20 years of experience leading software delivery, engineering, and project execution across banking, manufacturing, energy, healthcare, and other key industries. Martynas Dadurka Co-Founder | Chief Innovation Officer Leads R&D and technical direction. Evaluates what's worth adopting and how emerging technology applies to clients building systems that run critical operations. Tomasz Niżankowski CEO @ Softeta Poland More than 30 years in IT, with a background in leading high-impact projects involving systems integration, digital transformation, cybersecurity, and software engineering.
 Vytautas Balasevičius 15 years in software development and product management. Leads Softeta's engineering effort, mentoring, and making sure projects ship without surprises. Šarūnas Kavaliauskas Senior IT Architect Edvinas Glodenis Lead QA Automation Engineer Kasparas Gečas Senior Software Engineer Katarzyna Kramarczyk Talent Acquisition Partner Juozas Rimas Business Development Manager Bernardas Bespalovas Business Development Manager Aidas Mackevičius Talent Acquisition Partner --- ## Services URL: https://softeta.com/services/ Type: page Modified: 2026-03-27 Services from architecture to uptimeWe cover the full stack: architecture, engineering, data, cloud, QA. Our teams build for uptime, performance, and systems you won’t need to rewrite in two years. Software engineeringWe build backend-heavy systems where correctness, performance, and uptime are non-negotiable. Data engineeringPipelines that actually work on Mondays. Architectures that feed your AI, reporting, and the decisions that can’t wait. Cloud engineeringWe deploy systems on infrastructure that’s cost-efficient, scalable, and resilient by design. Quality assuranceWe prevent defects before they happen, automating what can be automated and covering the rest with precision testing. Architecture and consultingWe help teams make the right calls from the start. Our architects design for integration, scale, and longevity. Get in touchWe work best with teams who care about long-term results. Whether you need a tech partner, a second opinion, or a full build – let’s talk. What we build From concept to production-ready software. AI and process automationWe automate complex workflows and decision-making processes to reduce errors, increase speed, and improve reliability. System modernization We modernize legacy systems so they connect to modern platforms, automate what used to be manual, and scale under pressure. Custom software systemsWe build software from scratch to match your workflows, handle your cases, and meet compliance requirements off-the-shelf tools ignore. Why clients keep coming backSpecialization in robust scalingWe specialize in solutions that handle vast amounts of operations and users without drama Unified engineering, DevOps, and dataWe offer software engineering, DevOps, and data under one roof without handoff gaps Trusted by industry leadersBanks, global energy companies, and some of the world’s biggest consumer apps trust us with their core systems Looking for a tech partner?Select your project type and submit the form, or contact us for details. --- ## Solutions URL: https://softeta.com/solutions/ Type: page Modified: 2026-03-27 Solutions for your core operationsWe build software that connects systems, automates what shouldn’t require people, and lets you grow unconstrained. AI and process automationWe automate complex workflows and decision-making processes to reduce errors, increase speed, and improve reliability. System modernization We modernize legacy systems so they connect to modern platforms, automate what used to be manual, and scale under pressure. Custom software systemsWe build software from scratch to match your workflows, handle your cases, and meet compliance requirements off-the-shelf tools ignore. Trusted by industry leadersOperations teams, engineering powerhouses, and product groups who can’t afford to get it wrong. CybersecurityNordVPNWe helped our client build a frontend team from scratch, establish development processes that actually work, and ship a redesigned B2B platform while clearing years of technical debt. View casePropTechPortalPROWe helped our client scale across Europe, cut costs, and speed up operations by replacing manual quoting with AI-driven pricing, automation, and customer chatbot. View caseEnergy and utilitiesEnergesmanWe helped our client cut manual labor by automating their waste material identification and classification process using a custom AI-powered computer vision system. View caseFinanceSEBWe helped our client unify QA practices across five payments teams, replacing fragmented testing strategies with a modern automation framework that cut delivery bottlenecks and caught bugs earlier. View caseWhat we’ve shipped for teams like yours and the results they achievedView case studiesWhy clients keep coming backSpecialization in robust scalingWe specialize in solutions that handle vast amounts of operations and users without drama Unified engineering, DevOps, and dataWe offer software engineering, DevOps, and data under one roof without handoff gaps Trusted by industry leadersBanks, global energy companies, and some of the world’s biggest consumer apps trust us with their core systems Looking for a tech partner?Select your project type and submit the form, or contact us for details. --- ## Careers URL: https://softeta.com/careers/ Type: page Modified: 2026-03-27 It's you who sets us apartAt Softeta, each one of us is a software and AI engineering partner helping our clients scale with confidence. By encouraging curiosity, openness, and individual strengths, we create teams that build software people genuinely love and businesses can’t live without. Who we areAbove all, we are true software professionals and problem solvers to our core. We believe that meaningful results come from empowered people, trust, and a culture of ownership. What else? Whiskey enthusiasts, a sharp table tennis crew, foosball fans, office-corner gymnasts, food lovers, runners, and outdoor adventurers. Musicians and martial artists? Absolutely. And one thing we truly adore? Plenty of delicious food and great coffee are shared in our cozy kitchen. Open job positionsExplore our current openings and find your next career opportunity at Softeta. ---