AeyeOS Platform
One operating system for modern law enforcement.
We designed and built AeyeOS end-to-end — architecture, backend, edge compute, AI voice pipeline, and every screen an officer or dispatcher touches. One login, one role model, one audit trail across every module.
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AI Command — operations workbench.
The command-centre application for agencies running ALPR patrol fleets. Dispatchers, investigators, and supervisors open one workspace — no more juggling vendor portals.
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AI Partner — voice agent for patrol.
A hands-free conversational agent that rides with every officer. Activate by badge number, run the entire shift through voice — plates, alerts, notes, traffic stops, department policy.
Smart Gate Pipeline
A Gate LLM classifies every utterance as execute, respond, or skip. TF-IDF picks the right tool. An Executor LLM runs it. A Communicator LLM formats the spoken reply.
Edge-First Voice
STT runs Qwen3-ASR-1.7B on the Jetson Thor. TTS runs Kokoro-82M locally. Voiceprint verification via 3D-Speaker CAM++ — 512-dim embeddings per session.
Sub-Agent Workflows
Vehicle checks, traffic stops, alert review, and policy questions each open a dedicated sub-agent — separate LLM chains with their own tool sets.
Architecture
Edge-first. Cloud-backed.
Every layer is independent. Edge handles latency-critical AI. Cloud handles coordination, storage, and admin.
How we engage
Three models. Same standard.
Architecture Review
Deep assessment of an existing platform's architecture, security posture, and compliance readiness. 2–4 weeks. Produces a prioritized findings report.
Embedded Engineering
Senior architectural leadership embedded within your program structure. 3–12 months. Task order aligned, clearance-ready.
Full Platform Build
End-to-end delivery from system design through deployment. 6–18 months. Five-phase methodology, gate-driven.
See what disciplined engineering looks like.
We'll walk you through the platform, the architecture, and the decisions behind it.