AI engineering for
computer vision.
We don't wrap APIs. We train custom models, ship them to production, and operate them. Engineered end-to-end by an in-house team — for enterprises that need real outcomes, not demos.
See how we build.
Five capabilities, delivered end-to-end.
Click any capability to see real use cases, technical depth, and the kind of problems we solve in production.
Computer Vision
We design, train, and deploy computer vision systems that run reliably in real-world conditions — factory floors, retail stores, surveillance feeds, drones, medical equipment. From classical image processing to modern deep-learning detection, segmentation, and tracking.
- Defect detection on production lines (steel, glass, food, plastics)
- Inventory counting and shelf compliance for retail chains
- Medical image analysis: triage, segmentation, anomaly flagging
- Real-time surveillance intelligence with privacy-preserving inference
- Document and ID intelligence: OCR, tampering detection, KYC pipelines
- Drone and satellite imagery for agriculture, mining, and infrastructure
An engineering firm, not a buzzword shop.
We train, not wrap
We build custom models against your data. API-only solutions are recommended only when the math actually says so — never as a default.
Verified Clutch 5.0 / 5.0
Independently verified client reviews on Clutch.co — Clutch interviews each client directly before publishing. Profile linked in our footer.
Local + International
Senior engineering team based in Algeria, with delivered projects across France, Spain, Germany, Italy, UAE, Saudi Arabia, and Kuwait.
We refuse what we can't ship
If discovery shows the data doesn't support an ML solution, we say so and recommend an alternative. We don't sell projects we can't deliver.
Three steps. No surprises.
Every AI engagement starts small, proves value fast, and scales only when the data and the math justify it.
Discovery
1–2 weeksWe sit with your team, understand the operational problem, audit available data, identify the right ML approach (or honestly tell you AI isn't the right tool), and scope a paid pilot with a measurable success criterion. Output: a written engagement brief and a fixed-price pilot SOW.
Pilot
4–8 weeksFixed-scope, fixed-price proof of value on real data. Models are trained, evaluated against business metrics, and shipped behind a feature flag. You get a working prototype, an evaluation report, and a clear go/no-go decision — with no obligation to continue.
Production & Operations
OngoingOnce the pilot proves value, we engineer for production: monitoring, retraining, MLOps pipelines, SLAs, on-call. We stay on the system as a long-term engineering partner — not a hand-off to your internal team.
Mature, boring, production-grade.
We use the same tools the best AI engineering teams in the world use. No experimental libraries, no half-maintained packages — only mature, production-tested infrastructure.
