Modular, sensor-agnostic platforms for autonomous system simulation and real-time perception — from high-fidelity physics to safety- and mission-critical deployment.
A modular, agnostic architecture that spans from high-fidelity simulation to safety- and mission-critical deployment — on any sensor, any platform, any target.
Purpose-built solutions for autonomous perception and simulation.
Production-Grade LiDAR-Inertial Perception
Real-time perception for autonomous vehicles and drones. Advanced state estimation with FMCW Doppler velocity exploitation and safety- and mission-critical architecture.
Learn moreHigh-Fidelity Physics-Based Sensor Simulation
Full-stack simulation for autonomous systems. Physics-based LiDAR, camera, IMU, and GNSS simulation. Test perception algorithms before field deployment.
Learn moreFull Autonomous Flight Perception
Complete autonomous drone perception with autopilot integration. LiDAR-inertial mapping, 3D object detection and tracking, and hardware-in-the-loop simulation.
Learn moreWorks with any sensor, any platform, any simulator. Pluggable decoders, configurable sensor platforms, and manifest-based deployment.
Designed for ISO 26262 compliance. Deterministic execution, no runtime allocations, comprehensive verification coverage, and bounded resource usage.
Physics-based sensor simulation across ground and aerial platforms. Test perception algorithms against diverse scenarios before any field deployment.
Same codebase, automotive and drone products. Shared algorithmic blocks, shared middleware, platform-specific deployment manifests.
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