MyrLabs develops high-speed robotic technologies capable of operating at speeds of 20m/s to 50m/s for both ground and aerial applications, addressing the limitations of existing slow robots that hinder productivity. The company also creates offline, edge-based positioning solutions and infrastructure-free IoT systems that enable real-time device interactions without reliance on backend servers.
Funding
Funding not disclosed
Founders
Product
Problem
Existing robots operate at slow speeds (1-2m/s), which limits their utility and impact on productivity across various applications. Server-reliant positioning systems are fragile, slow, and introduce latency, hindering real-time performance. Traditional IoT systems depend on gateways and lack device-to-device interaction capabilities.
Solution
MyrLabs develops high-speed robotic technologies capable of operating at 20m/s to 50m/s for both ground and aerial applications. The company also creates offline, edge-based positioning solutions that provide real-time, near-zero latency data without reliance on backend servers. Furthermore, MyrLabs is developing infrastructure-free IoT systems that enable direct device-to-device interactions and operate in challenging environments without gateways. MyrLabs is also developing AI capable of reasoning, understanding causality, and handling out-of-distribution inputs.
Target Audience
MyrLabs targets partners seeking advanced robotic capabilities, real-time positioning solutions, and innovative IoT systems, including those in industries requiring high-speed automation, precise location tracking, and decentralized device communication.
Features
- High-speed robot hardware add-ons compatible with ROS, enabling reliable operation at 20m/s to 50m/s.
- Offline, edge-based positioning solutions delivered as dedicated hardware devices and SDKs.
- Infrastructure-free IoT solutions featuring device-to-device interactions, alternative power sources, and resilience in out-of-norm environments.
- Communications protocol, SDKs, hardware devices, and reference designs for infrastructure-free IoT.
- AI algorithms and dedicated hardware using knowledge-based inference techniques for reasoning and causality understanding.