Solution
Edge AI Infrastructure
Edge inference and AI-in-firmware patterns with safety, governance, and observability baked in for critical operations.
// systems decision sketch
$ sys3ai evaluate --domain "edge ai"
→ edge footprints ranked by latency, safety, and cost
→ telemetry + rollback runbooks for edge models
// only build what survives systemic stress.
What we do
Architect edge compute footprints, deploy models close to signals, and design telemetry and safety controls so AI at the edge is reliable.
Deliverables
- Edge AI reference architectures and deployment patterns.
- Safety, observability, and rollback runbooks.
- Data governance and lifecycle guidance for edge models.
Who it’s for
Teams pushing AI to the edge in plants, logistics, or field environments where latency and resilience matter more than central cloud dependency.
Use cases
- Edge inference for quality/safety checks in plants.
- Firmware-level intelligence for field devices.
- Low-latency AI for logistics or facility operations.
Engage on edge AI
Share your edge sites, latency limits, and safety requirements. sys3(a)i responds where edge AI can be made resilient.