Built and proven in our own Edge AI lab
We don’t demo slideware. Every model is trained, validated, and run end-to-end on real edge hardware in our lab before it reaches your site.
How the lab works — capture, train, validate, ship
01 — We train it here
Models are built and tuned on real footage and real edge boxes — not slideware. The bench is where the work happens.
02 — We prove it end-to-end
Every model is validated on-device before it ships. Our vision stack runs end-to-end in the lab today.
03 — We run it on your silicon
Validated across NVIDIA Jetson and Qualcomm, so what we prove in the lab deploys on the hardware you have.
What’s live, and what’s next
We label honestly. Vision is in production today; the rest are weeks away, not quarters.
- Vision — PPE & detection. Live in our lab.
- Acoustic threats (mics). Shipping soon.
- Weapons detection. Shipping soon.
- Environmental sensors. In development.
- Automated emergency dispatch. Rolling out.
The compute tiers
Three tiers of edge compute, the same camera feed, live YOLOv8 object detection running on all of them. NVIDIA Jetson AGX Orin 64GB for high-throughput inference, Jetson Orin Nano Super for mid-tier deployments, and Raspberry Pi 5 with the Hailo-8 accelerator for low-power, low-cost edge nodes.
Book a lab walkthrough at datafactz.ai/edge-ai/contact.