The agent runtime that makesrobots operational at scale.
Hardware gives robots intelligence. mimOE gives them the ability to coordinate, self-organize, and operate autonomously: any silicon, any environment, at any scale.
Inference compute is solved. Inference operations are not.
Silicon vendors have solved acceleration. But running Agentic AI (Agentix) at fleet scale requires coordination, security, and operational resilience that no hardware vendor provides.
What hardware vendors leave to you
- Agent discovery across devices
- Fleet management at scale
- OTA updates per device context
- Offline and low-connectivity operations
- Zero-trust security at the agent layer
- Fleet-wide observability
- Cross-vendor interoperability
- Zero-configuration agent setup
What mimOE provides out of the box
- Dynamic service mesh discovery
- Decentralized fleet coordination
- Context-based OTA updates
- Online, offline, multi-cloud operations
- Built-in zero-trust and API gateway
- Fleet-wide telemetry and tracing
- One runtime across all silicon
- Zero config: agents join seamlessly
Most projects prove the concept. Few make it to production.
The barrier is never the model. Across the robotics industry, teams demonstrate compelling prototypes and then stall. The missing layer is operational infrastructure: coordinating agents across a fleet, pushing updates safely, maintaining security, and keeping systems running when connectivity fails. This is not a research problem. It is an execution problem.
Same runtime from pilot to full fleet. No rebuild, no delay.
What mimOE brings to physical AI.
Dynamic Agent Discovery
Agents join a live service mesh without static configuration. Peers found automatically.
Decentralized Coordination
Agents self-organize without a central controller. Resilient to individual node failures.
Context-Based OTA Updates
Agents update based on their environment and workload, not a central push schedule. Staged rollouts with automatic rollback.
Built-In API and MCP Gateway
Inference services become discoverable and routable without extra infrastructure. REST APIs for ONNX and GGUF models.
Fleet-Wide Observability
Telemetry, logs, and tracing at every point across all devices, from one control plane.
Offline-First Operation
Full agent operation when disconnected, with zero-trust security baked into the agent layer. Cloud resumes seamlessly when available.
Runs on the silicon you already use.
mimOE is hardware-agnostic by design, leveraging hardware acceleration automatically where available.
Built for the people who ship robots.
Robotics OEMs and Hardware Makers
Device providers, humanoid robot companies
- Ship devices agent-ready, mimOE pre-installed
- Managed OTA and fleet as recurring revenue
- Differentiate on software, not hardware specs
- Mixed silicon fleets, one runtime
System Integrators
Vertical solution builders, enterprise teams
- One runtime across all environments
- From project delivery to fleet operations
- Staged rollout, rollback, update-as-a-service
- Single observability plane, all customers
Solution Providers
Manufacturing, healthcare, logistics, retail
- Focus on domain logic, not infrastructure
- Deliver turnkey solutions out of the box
- Cameras, sensors, legacy systems supported
- Cut undifferentiated engineering overhead
Developers
Agent developers, robotics software engineers
- Write agent logic once, run on any hardware
- No inference engine or serving setup
- Security, observability, coordination built in
- Prototype code runs in production at scale
What silicon vendors provide vs. what mimOE adds.
“Hardware makes robots powerful. mimOE makes them operational: discoverable, coordinated, observable, and resilient at fleet scale, across any silicon.”
Make your fleet operational.
Start on the hardware you run today: mimOE installs on your existing silicon, and the first coordinated fleet runs in minutes.