AI That Acts At the Source
Deploy production-grade AI models directly onto edge hardware. Millisecond inference, air-gap security, and offline resilience — without sacrificing centralized visibility.
Built for the Harsh Reality of the Edge
Every capability is engineered for constrained hardware, unreliable connectivity, and zero-tolerance operational environments.
Sub-10ms Inference
Run quantized models directly on device. No round-trip latency — decisions happen at the source of data.
Air-Gap Secure
Sensitive data never leaves the premise. Full GDPR, HIPAA, and SOC 2 compliance without cloud exposure.
Offline-First Logic
Maintain full operational intelligence even when connectivity drops. Sync resumes automatically on reconnect.
Federated Model Updates
Push model improvements across your fleet without centralizing raw data. Continuous learning at the edge — privacy preserved.
Edge Observability
Real-time telemetry, anomaly alerts, and performance dashboards across thousands of nodes from a single pane.
Industry Use Cases
From factory floors to field sites, Edge Intelligence delivers where cloud latency is not an option.
Predictive Maintenance on the Shop Floor
Vibration sensors and thermal cameras feed local models that flag bearing failures 72 hours before they cause downtime — no cloud call required.
Patient Monitoring at the Bedside
Wearable vitals analysis runs on-device inside the ward. PHI never traverses the network; alerts reach nurses in under 200 ms.
Shelf Intelligence & Loss Prevention
In-store cameras infer stock levels and detect shrinkage in real time. Planogram compliance reports sync to HQ every hour.
Grid Anomaly Detection
Substation edge nodes classify fault signatures locally, isolating grid segments before a cascade — milliseconds matter.
How It Works
Four phases from model deployment to cloud sync — all automated, all auditable.
Package and push optimized models to edge hardware via our OTA pipeline — one click, any fleet size.
Models execute locally using hardware-accelerated runtimes. Zero cloud dependency at inference time.
On-device logic triggers alerts, actuators, or downstream workflows in sub-10 ms — before the data leaves the room.
Aggregated insights, model gradients, and audit logs sync to the cloud when connectivity allows.
Powered By
Purpose-built products that make Edge Intelligence a production reality — not a prototype.
EdgeCore Runtime
Lightweight ONNX and TFLite runtime optimized for ARM, x86, and RISC-V edge hardware with hardware-accelerated quantization.
Learn MoreFleetSync
Manage model versions, configs, and firmware across heterogeneous device fleets with rollback and canary-deploy support.
Learn MoreEdgeVision
Pre-trained and fine-tunable vision models for detection, classification, and OCR — packaged for edge deployment out of the box.
Learn More