Everything you need to ship edge AI
A complete toolkit for the entire lifecycle, engineered for teams that move fast without cutting corners.
Powerful features.
Built for speed.
From dataset to deployment — the full workflow in one platform:
- Collect & organize datasets
- Label with AI assistance
- Train on accelerated GPUs
- Optimize for edge hardware
- Deploy in one click
- Monitor your fleet live
Smart Dataset Management
Organize, filter, and split datasets with an explorer built for scale.
- Advanced filtering
- Auto split
- Data explorer
Automatic AI Labeling
Bootstrap annotations with AI-assisted labeling and human-in-the-loop review.
- AI assistance
- Human review
- Quality control
GPU Training
Accelerated training jobs with live loss and accuracy telemetry.
- Faster training
- Live metrics
- High accuracy
Dataset Versioning
Track every change with immutable, reproducible dataset versions.
- Version history
- Diff tracking
- Reproducible
Real-time Device Monitoring
Watch inference latency, throughput, and health across your fleet.
- Live telemetry
- Health status
- Alerts
One-click Deployment
Ship optimized builds to any supported target in a single action.
- Multi-target
- OTA ready
- Secure deploy
Model Testing & Evaluation
Confusion matrices, per-class metrics, and live classification testing.
Deploy Anywhere
Export optimized builds for the real hardware your product runs on — no lock-in, no rewrites.
Raspberry Pi
.pxe package
UNO Q
.pxe package
TensorFlow Lite
Cross-platform