Tycho.AI's Voyager platform provides a plug‑and‑play hardware and software stack that fuses IMU, stereo vision, and lidar to deliver sub‑meter SLAM and real‑time 3‑D mapping in GPS‑denied environments. On‑board AI accelerators execute low‑latency threat detection, classification and autonomous planning (< 50 ms) and support decentralized swarming for coordinated UAV, UGV, and maritime missions via open APIs.
Funding
Funding not disclosed
Founders
Product
Problem
Military and security platforms operating in GPS‑denied or communications‑degraded environments lack reliable navigation, real‑time situational awareness, and autonomous threat response capabilities. Existing solutions often depend on external infrastructure, limiting mission flexibility in dense urban, smoke‑filled, or maritime settings. Consequently, operators face reduced operational tempo and higher risk during autonomous missions.
Solution
Tycho.AI’s Voyager platform delivers an integrated hardware and software stack that enables autonomous decision‑making at the edge without reliance on GPS or external links. The system fuses inertial, visual, and lidar sensors to perform high‑precision SLAM and generate 3‑D maps in real time. On‑board AI inference identifies, tracks, and classifies stationary and moving threats, supporting autonomous engagement and obstacle avoidance. Modular compute modules run low‑latency perception and planning pipelines, allowing platforms to execute precise flight paths or ground routes autonomously. Voyager also includes swarming coordination algorithms that synchronize multiple agents for collective mission execution. The stack is delivered as a plug‑and‑play package that can be integrated into existing air, ground, or maritime platforms via standardized APIs and hardware interfaces.
Target Audience
Primary customers are defense contractors and military organizations that field autonomous aerial, ground, or maritime systems requiring GPS‑independent navigation and edge intelligence. The platform also serves OEMs developing unmanned platforms for security, reconnaissance, and swarming missions.
Features
- Integrated sensor suite (IMU, stereo vision, lidar) with tightly coupled SLAM for sub‑meter navigation accuracy in GPS‑denied conditions
- Edge‑optimized AI accelerator executing real‑time computer‑vision models for threat detection, classification, and tracking
- Low‑latency perception‑planning pipeline delivering waypoint updates at < 50 ms latency
- Swarming control module implementing decentralized consensus and collision‑avoidance for coordinated multi‑agent operations
- Ruggedized, modular hardware architecture compatible with UAV, UGV, and maritime payload form factors
- Open SDK and RESTful API for seamless integration with existing vehicle control stacks and mission‑planning software
- Secure, encrypted data bus and on‑board storage meeting DoD cybersecurity standards
- Real‑time 3‑D mapping and terrain reconstruction exported in industry‑standard formats (e.g., Point Cloud Library, GeoJSON)