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INDE is the Autonomy OS for unmanned systems operating in complex outdoor, industrial, and low-connectivity environments — ground, air, and maritime.
Engineered for reliability across demanding real-world conditions.
From situational awareness to decision execution — all in one adaptive layer
Multi-sensor fusion for 3D awareness in complex, dynamic environments. Terrain classification, obstacle tracking, weather robustness.
Goal-driven policies with risk management and graceful degradation when inputs fail. Adapts under pressure.
Vehicle-agnostic interface for UGVs, UAVs, USVs, and hybrid platforms. Failsafes and redundancy built-in.
Fleet monitoring, telemetry, OTA updates, and fleet coordination. Audit trails and operation replay.
Multi-domain autonomy that adapts to mission requirements
Multi-vehicle coordinated operations, terrain navigation, and site monitoring. GPS-limited navigation and obstacle avoidance in complex terrain.
Aerial survey, mapping, and site assessment with unreliable-GPS recovery. Adaptive flight policies and resilient failsafes.
Port logistics, coastal and nearshore operations, all-weather maritime operations. Sensor fusion in harsh conditions.
Logistics autonomy, critical site safety overlays. Warehouse automation with mission-grade reliability.
Designed for industrial and field robotics applications: reliability-focused engineering without vendor lock-in
Built for the conditions where traditional autonomy fails
Learns in real time from sensor input. Resilient under loss of GPS and communications. Self-correcting behavior in unpredictable environments.
Runs efficiently on constrained compute hardware. Low-latency processing for mission-critical decisions. No cloud dependency required.
Built for multi-domain coordination and safety compliance. Graceful degradation under system failures. Mission-ready operational resilience.
"In the field, predictability kills. Adaptability wins."
— INDE Systems LeadHelp us build the future of autonomous systems. We're looking for talented engineers, researchers, and operators who are passionate about real-world autonomy.
Software, robotics, and systems engineers
ML/AI specialists and autonomous systems researchers
Field integration and systems specialists
Sales, partnerships, and business development