Vision systems that see what matters.
Object detection, image segmentation, video analysis, OCR, autonomous UAV guidance. Production vision systems that run at the edge or in the cloud — with the latency and accuracy your use case demands.
Defect detection accuracy in manufacturing
Real-time video processing
Edge inference latency
Images processed daily
What we build
Vision capabilities for real-world use cases.
Object detection & tracking
Real-time detection and tracking across video streams. People counting, vehicle tracking, product recognition — whatever your cameras need to see.
Autonomous drone vision
On-board target detection and terminal guidance for UAVs. Battle-tested on Ukrainian frontline drones — runs offline when GPS and RF links are jammed.
Image segmentation
Pixel-level understanding of images. Instance segmentation, semantic segmentation, panoptic — from medical imaging to satellite analysis.
OCR & document analysis
Extract text, tables, and structured data from any document format. Handwriting recognition, form parsing, invoice processing at scale.
Video analytics
Action recognition, anomaly detection, event counting in video streams. Process hours of footage in minutes or analyze live streams in real-time.
Edge deployment
Models optimized for NVIDIA Jetson, Intel NCS, mobile devices, custom SoCs. We quantize and optimize for your target hardware without sacrificing accuracy.
Custom model training
When pre-trained models don't cut it. We train custom vision models on your domain data — your defects, your products, your environment.
Sound familiar?
Vision problems we solve every week.
“Our FPV drones lose the target the moment EW jams the video link.”
We ship on-board target lock that takes over when the uplink drops. Last seen coordinates, visual tracking, terminal guidance — the drone finishes the mission offline. Deployed on the Ukrainian frontline.
“We need to inspect 10,000 products per hour on a factory line. Humans miss 15% of defects.”
We build real-time defect detection systems that run at line speed. 98%+ accuracy, instant flagging, and detailed defect classification.
“We have security cameras everywhere but nobody watches the feeds.”
We deploy video analytics that detect anomalies, count people, and trigger alerts automatically. Your cameras become an intelligent monitoring system.
Field deployment
Drone vision built for the frontline.
Computer vision for combat UAVs.
We build autonomous vision systems for Ukrainian drones operating on the line of contact. Target recognition, terminal guidance, and object lock under active electronic warfare — where GPS and video links fail and the drone has to finish the mission on its own.
Our engineers work directly with operators and manufacturers. Every failure in the field becomes a training sample within the week. The models that ship today were wrong a month ago — and they'll be wrong again next month. That's the point.
On-board inference
No GPS · No uplink
Retrain cadence from field data
Target acquisition & tracking
Real-time detection, classification, and continuous tracking of ground targets from FPV drones — at low altitude, variable lighting, jittery video feeds.
On-board edge inference
Models quantized and deployed to lightweight boards (NVIDIA Jetson, custom SoCs). Inference at 30+ FPS with no cloud dependency. Works in EW-contested airspace.
EW-resistant autonomy
When GPS and RF links are jammed, vision takes over. Terminal guidance, visual odometry, last-mile object lock — the drone keeps its mission offline.
Battle-tested iteration
Models retrained on fresh frontline footage weekly. Real failure cases, real obstacles, real counter-measures — not lab datasets.
Tech stack
Tools we use in production.
Ready to build
Let's build vision that works at scale.
45 minutes with our computer vision engineers. We'll evaluate your use case, assess data requirements, and outline the fastest path to a working prototype.
AI projects we delivered
