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Edge Deployment

Edge AI Deployment

Deploy secure, low-latency AI on devices with NeuralOS and hardened runtime stacks.

Duration
6-12 weeks
Latency
<10ms inference
Footprint
<64MB RAM
Capabilities

Core focus areas

We tailor each engagement to your operational constraints and regulatory obligations.

Model Optimization

Quantization, compression, and hardware acceleration for edge devices.

Secure Runtime

Hardware-backed secure boot and encrypted communication channels.

Field Deployment

Over-the-air updates, telemetry, and fleet-wide monitoring.

Deliverables

What you receive

Every engagement includes clear artifacts, documentation, and enablement resources.

Robotics programsDefense systemsIndustrial edge deployments
  • Edge deployment package
  • Hardware compatibility matrix
  • Fleet rollout runbook
  • Telemetry and observability stack
Engagement Flow

Structured delivery, premium outcomes

1

Assess

Validate hardware and latency requirements with pilot benchmarks.

2

Harden

Secure the runtime, model stack, and OTA update pipeline.

3

Deploy

Roll out devices with monitoring and ongoing performance tuning.

Outcomes

Strategic results that scale

Ultra-low latency AI

Optimized models deliver real-time inference at the edge.

Secure device fleets

Encrypted updates, telemetry, and device governance by design.

Offline resilience

Mission-critical AI continues operating without connectivity.

Deploy AI at the edge

Launch secure, offline AI systems with production-grade performance.