Bringing agentic AI to the edge — enabling real-time, autonomous, and intelligent systems that run efficiently on-device.
From robotics to embedded AI assistants, EdgeAI powers the next generation of intelligent computing.

We are building the foundational layers for on-device and hybrid AI systems, spanning runtime orchestration to agent frameworks. Together, they form the backbone of agentic AI at the edge.

We exist to bypass the Cloud Trap.

Cloud voice APIs are a structural failure for physical hardware. They decimate commercial unit economics with $3/minute usage fees, introduce non-deterministic network jitter, and completely fail in remote, shielded, or rugged environments.

Edge AI provides a better alternative. We empower mobility, robotics, defense, and aerospace engineers to deploy secure, ultra-low-latency voice agents that execute entirely local to the edge compute.

• agents.cpp

  A high-performance C++ SDK for building local, intelligent, low-overhead voice and task-driven agents.

• coreflow

  A modular runtime and bare-metal orchestration engine designed for connecting and scheduling on-device AI components.

We ship proprietary, hardware-accelerated micro-models optimized for specialized edge runtimes:

• Automatic Speech Recognition (ASR)

  On-device real-time transcription, voice activity detection, and echo cancellation working together so your agent hears clearly and responds at exactly the right moment. Runs in push-to-talk or always-on mode.

• Text-to-Speech (TTS)

  On-device, lightweight audio synthesis designed for real-time auditory feedback.