Vision & Spatial AI · NVIDIA Metropolis
Large-scale vision intelligence, edge to cloud.
As experts in deploying NVIDIA Metropolis Microservices, we bring advanced multi-camera vision that's real time, privacy aware, and production grade to municipalities, agencies, and enterprises.
Multi-camera tracking
Large-scale tracking across cameras, including Visual Query by Example (QBE).
Camera heterogeneity
Works across multi-brand camera fleets — no rip-and-replace.
Synthetic data generation
Generate training data where real data is scarce or sensitive.
CV + Generative AI
Enhanced computer-vision models fused with generative AI.
Advanced analytics
Operational insight from live and recorded video at scale.
Privacy-first
Non-PII / anonymized analytics by design.
Real-time alerting
Emergency alerting and automatic scene description.
Edge + hybrid cloud
Run on NVIDIA Jetson at the edge or AWS / Azure / GCP / on-prem.
Use case
Transforming traffic safety.
Our edge-and-platform implementation gives municipalities, state, and federal agencies unprecedented insight and operational efficiency — multi-camera tracking, anonymized analytics, and real-time emergency alerting, deployed where the cameras already are.
Experience it firsthand
On-demand environments, end to end.
We stand up fully on-demand platform environments for demonstration and training — so you can explore the capabilities, understand the process, and see the engineering that makes it production ready. Edge (NVIDIA Jetson) and cloud (AWS, Azure, GCP, on-prem), with the option to deploy on your own cloud account for hands-on exploration.
Faster · Better · Cheaper
Let’s get to work.
Bring us your hardest AI or infrastructure problem. In the first working session we’ll map the path — and the day-one deliverable to get there.