See what humans see — at machine speed and scale.
Image and video intelligence for quality inspection, OCR, object detection, face recognition, and document processing — integrated into your existing workflows.
Real-time detection systems built on YOLO, Detectron2, and custom CNNs that identify and track people, vehicles, products, and defects in live video. Edge-optimized models run at 30+ FPS on NVIDIA Jetson and similar hardware.
Automated defect detection for manufacturing lines that catches scratches, misalignments, and assembly errors human inspectors miss at speed. Factories typically reach 99%+ detection accuracy and cut inspection costs by 40-60%.
Extraction of structured data from invoices, IDs, receipts, and handwritten forms using vision-language models and engines like AWS Textract and PaddleOCR. Straight-through processing rates of 80-95% are typical on standardized documents.
Secure identity verification, attendance, and access-control systems with liveness detection to defeat photo and video spoofing. Built with privacy by design — on-device matching and GDPR-compliant consent and retention policies.
Footfall counting, queue monitoring, intrusion detection, and safety-compliance analytics (PPE detection, restricted-zone alerts) from existing CCTV feeds. Insights stream to dashboards and alerts in real time.
Segmentation and classification models for radiology, pathology, and lab imagery developed under HIPAA-compliant workflows. We build decision-support tools that flag findings for clinician review, never unreviewed diagnoses.
We pick the right technology for your goals — not the trendiest framework.
Terms that go into every agreement we sign. See all client commitments.
Every job gets a scope and a number in writing first — a fixed price for defined work, or an hourly rate with a capped estimate. If scope changes, we re-quote before we build, not after.
Source code, designs, and data are yours. We work in your repository where possible, hand over full documentation, and transfer everything at the end. No license fees, no hostage situations.
We sign your NDA — or send ours — before the first technical conversation. Your idea, your data, and your customer information stay confidential during and after the engagement.
Everything you need to know before starting your project. Still have questions? Talk to our team.
Manufacturing quality inspection, document OCR, retail analytics, security and surveillance intelligence, face recognition with liveness detection, and medical imaging support. We deploy in the cloud, on-premise, or on edge devices like NVIDIA Jetson depending on latency and privacy needs.
A feasibility pilot on your sample images takes 3-6 weeks; a production system with camera integration and edge deployment takes 3-6 months. Annotation of training data is usually the long pole — we manage labeling teams to compress it.
Pilots run $12,000-$25,000, and production deployments range $35,000-$100,000+ depending on camera counts and edge hardware. Edge devices cost roughly $400-$1,500 per camera point, while cloud inference runs $0.001-$0.01 per image at volume.
Yes — trained weights, training code, annotation datasets we produce, and deployment infrastructure are all yours with full IP rights. Systems built on open frameworks (PyTorch, OpenCV, YOLO) carry no licensing lock-in.
Most production deployments reach 95-99% accuracy on well-defined tasks after 2-3 tuning iterations, and we agree on target metrics (precision, recall, false-positive rate) before development starts. The pilot phase validates achievable accuracy on your real data before you commit to full rollout.
We handle camera calibration, edge or cloud rollout, and integration with your MES, ERP, or alerting systems, followed by 90 days of included tuning. Retainers from $1,000/month cover model retraining as products, lighting, or environments change.
Get a free consultation and a detailed project estimate within 24 hours.
