Tycho.AI develops the Voyager hardware and software stack for autonomous decision-making and precision navigation at the edge. This system provides intelligence across multiple domains, functioning reliably without GPS or communication links. Applications include battlefield assessment, threat identification, and autonomous tracking for defense platforms.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Reliance on GPS and continuous communications makes autonomous aerial and ground platforms vulnerable to signal loss, jamming, or environments where satellite coverage is unavailable, limiting their effectiveness in defense, emergency response, and critical infrastructure missions. Existing UAV solutions often lack the on‑board processing power needed for real‑time sensor fusion and autonomous decision‑making, resulting in delayed obstacle avoidance and reduced operational precision.
Solution
TychoAI delivers an edge‑compute platform that embeds custom ASIC and FPGA hardware with tightly integrated AI software to run high‑throughput inference directly on the vehicle. The system fuses data from lidar, radar, cameras, and inertial sensors to generate a unified situational model, enabling precise navigation and obstacle avoidance without GPS. On‑board AI agents execute mission‑specific logic in milliseconds, supporting low‑altitude, high‑speed maneuvers and coordinated swarm behavior. The platform is designed for low power consumption and can be integrated into any drone or autonomous vehicle, providing a self‑contained autonomy stack that operates in GPS‑denied or contested environments.
Features
- Proprietary ASIC/FPGA hybrid processor delivering sub‑millisecond latency for deep‑learning inference at the edge
- Multi‑sensor fusion pipeline that combines lidar, radar, optical cameras, and IMU data into a real‑time 3‑D awareness map
- GPS‑independent navigation algorithms with precision waypoint tracking and dynamic re‑routing under signal loss
- Real‑time obstacle detection and avoidance using AI‑driven predictive modeling for high‑speed, low‑altitude flight
- Swarm intelligence framework enabling coordinated multi‑agent missions with decentralized decision‑making
- Modular AI agent architecture allowing customers to load custom mission logic without firmware changes
- Power‑optimized hardware‑software co‑design supporting operation on battery‑constrained platforms
- Interoperability layer that abstracts vehicle control interfaces, allowing seamless integration across diverse UAV and ground‑vehicle fleets