Every camera becomes an engineer.
Edge-native computer vision for quality inspection, safety monitoring, and document understanding — continuous learning, zero labeling, deployed in hours.
Humans can't watch every pixel, every second.
Defects slip through. Safety incidents get missed. Documents pile up in inboxes. Every camera and scanner in your operation is a data source — we turn them into intelligent sensors.
The Vision Stack
Six composable modules that turn any camera feed — factory line, security cam, scanner — into a real-time decision engine.
Multi-Model Detector
Foundation vision models fine-tuned on your data — detect defects, objects, people, and text with a single unified API.
Precision Tracker
Multi-object tracking across frames with re-identification — maintain stable IDs through occlusion, lighting changes, and camera switches.
Document OCR+
Layout-aware OCR that extracts structured fields from forms, invoices, and IDs — with hand-written text, stamps, and table understanding.
Anomaly Engine
Unsupervised anomaly detection that learns 'normal' from a week of footage — flags defects and safety events without a single labeled example.
Edge Runtime
Runs on Jetson, Coral, Intel NUC, or plain x86 — sub-10ms inference at the edge with automatic fallback to cloud when needed.
Continuous Learner
Every human correction feeds back into model training — accuracy improves weekly without a data labeling team or an MLOps platform.
Frame to Decision
Six stages running at 30 frames per second on every camera feed.
Capture
Ingest any stream.
Detect
Find what matters.
Classify
Assign a label.
Track
Follow over time.
Alert
Trigger in 50ms.
Learn
Improve weekly.
Deployable Anywhere
Four promises that make vision AI practical for real operations, not just lab demos.
Edge-Native
Runs disconnected, air-gapped, or with intermittent connectivity — no constant round trips to the cloud, no bandwidth bills.
Privacy by Default
Faces, plates, and PII are redacted before any frame leaves the edge — with zero-trust model provenance and audit logs.
Zero Labeling
Foundation models plus unsupervised anomaly detection mean you go from camera to insight without hiring a labeling team.
Sub-10ms Inference
Real-time on commodity edge hardware — 30fps on 16 concurrent streams from a single Jetson Orin.
Eyes in the Field
Where vision intelligence is quietly catching defects, preventing incidents, and processing documents.
Automotive Paint-Line QC
A tier-1 OEM deployed vision on their paint inspection line — catching orange-peel, runs, and dirt before they left the booth. Learned 14 defect classes from 3 days of footage.
Warehouse Safety Monitoring
A 3PL operator replaced their army of CCTV watchers with edge vision — detecting forklift speeding, PPE violations, and near-misses in real time.
AP Document Automation
A shared services center turned their scanner output into structured data — extracting invoice lines, matching to POs, and posting to the ERP without a human touch for 89% of documents.
Send us a day of footage. We'll show you what it sees.
Give us 24 hours of camera feed or a stack of scanned documents. We'll return an accuracy report and a runnable edge binary within a week.
Turn every camera into an expert inspector.
Edge-deployed vision intelligence, continuously learning, with zero labeling overhead. Book a pilot on your own data.