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OCR, object detection, visual quality control, video stream analysis — we turn your visual content into structured, actionable information integrated into your systems.
Every model is trained on your images, in your environment, to your precision threshold — not a generic model hastily adapted.
Automatic reading of invoices, purchase orders, ID cards, forms and labels — data extracted, structured and injected into your systems without manual re-entry.
Real-time identification and location of objects on video streams or static images — automatic inventory, people counting, product tracking on production lines.
Automatic detection of surface defects, assembly non-conformities, scratches, cracks or missing parts — directly on your production line, at conveyor speed.
Automatic product categorisation, catalogue organisation, content moderation and visual tagging at scale — thousands of images processed in seconds.
Intelligent surveillance, store entry flow counting, abnormal behaviour detection and real-time alert generation — without massive raw video storage.
Face comparison, identity document verification, attendance control and automated KYC — GDPR-compliant solutions integrated into your onboarding flows.
Real situations, models trained on your data. If your need resembles one of these cases, we can help.
An accounting department processes 500+ PDF and scanned invoices per month manually. We deploy an OCR pipeline that automatically extracts supplier, amount, date and invoice number — and pushes them directly into their ERP.
A manufacturer inspects parts manually — 5% of defects go unnoticed and generate customer returns. We install a YOLOv8 model on an industrial camera that detects defects at 98.4% precision in under 20ms.
A retail brand wants to understand in-store behaviour — flow by zone, peak hours, aisle-to-purchase conversion rate. We deploy an anonymised camera with real-time analysis and a visualisation dashboard.
A fintech needs to verify the identity of thousands of customers at onboarding. We integrate a document reading + face matching pipeline that reduces KYC time from 48h to under 2 minutes.
Battle-tested models in industrial production, selected to match your latency, accuracy, and infrastructure requirements.
From requirements definition to camera in production — a structured process grounded in your real images, not generic benchmarks.
Analysis of your physical environment, image sources (cameras, scanners, documents), feasibility assessment and definition of target metrics — precision, recall, latency, frame rate.
2–3 daysCapture or retrieval of your real images, annotation of target objects (bounding boxes, segmentation, classes), and construction of a balanced dataset representative of your real-world conditions.
1–2 weeksSelection of the appropriate architecture (YOLO, ResNet, ViT…), fine-tuning on your data, data augmentation, evaluation by metrics (mAP, IoU, precision) and optimisation for your target latency constraint.
1–3 weeksThe model is exposed via API and connected to your video or document source. Robustness testing under your real conditions (lighting, angles, variations), adjustments and validation with your field teams.
1–2 weeksProduction deployment on your infrastructure (GPU VPS, edge device, cloud), model metrics monitoring dashboard over time and retraining protocol whenever your environment evolves.
2–4 daysDescribe your need in 3 minutes and receive a personalised quote within 24h. Free, no commitment.
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