Industrial production
A stopped line burns money by the minute. We build the computer vision, AI, and robotics software that keeps production running: catching defects, coordinating machines, and predicting failures before they cost you a shift.
What we build for our clients
Computer vision, AI, and robotics software for the factory floor from defect detection to machines that coordinate themselves.
Computer vision implementation
Cameras catch the defect a tired inspector misses on the thousandth part. We build vision systems that grade, sort, and reject in real time with accuracy.
AI sorting and classification
Not every decision can wait for the cloud. We take models from training to edge deployment for automated waste classification so they run on the line, at line speed.
Robotics integration
A robot arm is only as good as the software telling it what to do. We build the control and integration layer that keeps robots, PLCs, and machines working as one coordinated cell.
Predictive maintenance
We turn sensor data into early warnings, so you replace the part during planned downtime instead of losing a shift to a breakdown.
Production automation
We automate scheduling and workflows so jobs, materials, and machines line up without a spreadsheet holding it together
Real-time asset tracking
You can’t optimize what you can’t see. We build tracking that shows where stock and equipment are as it moves.
Success stories
From startups to global enterprises, teams count on us for growth that works
We 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.
We helped our client cut manual labor by automating their waste material identification and classification process using a custom AI-powered computer vision system.
What we’ve shipped for teams like yours and the results they achieved
View case studies
“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 Blazgys
CEO at Energesman
Ways we collaborate with you
A transparent, flexible approach designed around your goals.
Team augmentation
Extra talent that boosts your projects. Our experienced engineers integrate directly with your in-house team, bringing flexibility, technical depth, and fast scaling capacity. All without the overhead of hiring.
Building a dedicated team
A fully autonomous team focused on delivery from day one. We assemble a cross-functional group of experts to match your project goals, work within your roadmap, and take full responsibility for execution and outcomes.
Developing a project, subproject, component
We take full responsibility for delivering a clearly scoped system, module, or feature – from architecture to deployment. We handle design, development, testing, and ensure long-term maintainability.
Frequently asked questions
Learn more about our system modernization and optimization services
Will computer vision actually work in our plant, not just a demo?
That’s the real question, and the honest answer is: not without tuning. Factory lighting, dust, speed, and part variation break models trained in clean conditions. We train on your line’s actual images and deploy where it makes sense at the edge when latency matters, so accuracy holds up on the floor, not just in the pitch.
Do we have to replace our machines, PLCs, or MES to add AI and robotics?
No. Most of our industrial work wraps around the equipment you already run reading from PLCs, sensors, and your MES rather than ripping them out. We add the vision, AI, or robotics layer on top and integrate it with what’s there, so you modernize without re-tooling the floor.
Where do most manufacturers start?
With one narrow, measurable problem: a single inspection station, one recurring defect, one bottleneck. We run a short discovery to find where your data and cameras are ready and the payback is clearest, ship that one use case, then expand. We love ideas, but we’d rather prove one than promise ten
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