Feature

The Data Engine
Continuous AI Improvement

Explore, label, train, deploy — a complete AI workflow that makes your safety models smarter with every correction.

Schedule Demo → See Live System

The Four-Step Loop

From raw video to production-ready AI — in hours, not weeks.

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1. Explore

SAM3 text prompts discover objects in your facility video automatically. Just describe what to find.

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2. Label

Click-to-segment and box-draw for precise annotations. Multi-point mask refinement for complex objects.

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3. Train

One-click YOLO11 training on your custom dataset. GPU-accelerated with automatic hyperparameter tuning.

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4. Deploy

Push optimized models to edge hardware in one click. Instant switch between model versions.

SAM3 — Zero-Shot Exploration

Meta's Segment Anything Model 3 enables you to discover objects in your facility video using natural language. No pre-training needed.

  • Text prompts: "find all hard hats"
  • Point-click segmentation refinement
  • Multi-point mask generation
  • Automatic bounding box extraction

YOLO11 — Real-Time Inference

Ultralytics YOLO11 delivers blazing-fast detection optimized for edge hardware. Custom-trained on your labeled data.

  • One-click training with auto-export
  • GPU-accelerated on Jetson/RTX
  • Model versioning & rollback
  • Continuous improvement pipeline

Natural Language Rules Engine

Define safety rules in plain English — no code required.

"If person without helmet detected in zone A, send alert to supervisor"
"If vehicle enters pedestrian corridor, trigger emergency stop signal"
"Log all workers entering chemical zone without goggles after 8pm"

Build Your Custom Safety AI

See the Data Engine in action — train a model on your own facility footage.