
Detect, classify, and track any object in images and video β from manufacturing defects to retail inventory gaps β with custom-trained models built for your specific use case.
97%+
Custom Model Accuracy
30ms
Inference Latency
1000+
Object Classes Supported
Edge
On-Device Deployment
Implementation
We help you collect and annotate training images using our labeling platform. Typically 500β5,000 images per object class.
Custom model trained on your data with rigorous validation. We target your specific accuracy and latency requirements.
Deploy as REST API, edge device model, or embedded SDK. Integrates with your existing cameras and software systems.
Production monitoring tracks accuracy drift. Active learning pipeline continuously improves the model with new data.
Core Capabilities
Train on your labeled data using YOLOv8, DETR, or Faster R-CNN architectures. We handle data augmentation, hyperparameter tuning, and validation.
Detect and classify thousands of object classes simultaneously in a single inference pass with individual confidence scores.
30ms inference on GPU hardware, 150ms on CPU. Edge deployment on NVIDIA Jetson, Raspberry Pi, and mobile devices.
Detect objects that should not be present (foreign objects, contaminants) or flag missing expected objects.
Count detected objects, measure dimensions, calculate areas, and track quantities across time series.
Continuously improve model accuracy using production data. Our active learning system flags uncertain predictions for human review.
Process live video streams, batch image uploads, or integrate via REST API. Supports JPEG, PNG, TIFF, and all major video formats.
Version control for models, A/B testing, automated retraining triggers, and production monitoring dashboards.
Real-World Impact
Defect escape rate reduced to 0.08%; $4.2M annual warranty savings; inspection speed 10x faster than manual.
Out-of-stock incidents reduced 67%; planogram compliance improved from 71% to 94%; $1.6M revenue recovery.
Sorting accuracy improved to 99.2%; manual labor reduced 85%; customer complaint rate down 91%.
Package damage rate reduced to 0.4%; $1.4M annual insurance savings; worker training time reduced 60%.
Inspection time reduced from 2 weeks to 4 hours; defect detection rate improved 34%; cost per inspection down 78%.
Backlog eliminated; average diagnosis time reduced from 6 weeks to 3 days; pathologist productivity increased 4x.
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Versatile Deployment
Click any feature below to see an interactive demo of exactly how it works in production.
0
Objects
30
FPS
80+
Classes
Identifies and tracks people, vehicles, equipment, and custom objects simultaneously in live video β with bounding boxes, class labels, and confidence scores.
Serving Businesses Across the US & Canada
Related Solutions
Every day you wait, your competitors are automating the tasks that drain your team, capturing the leads you're missing, and delivering faster results to the same customers you're chasing. Tell us where you're stuck β we'll map out your custom AI plan within 24 hours, free.
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Tell us your biggest bottleneck. We'll respond within 2 hours with a specific AI solution β not a generic pitch.
What happens after you hit send
Within 2 hours, a real human on our team reads your message and identifies the highest-impact AI opportunity for your business.
We walk you through the roadmap live, answer every question, and you decide if we're the right fit. Zero pressure, zero obligation.
We map out a tailored plan β specific automations, tools, and timelines β based on your industry, team size, and goals. No generic decks.