Deploying intelligence on AUVs is bottlenecked by scarce data and broken simulation

We are building software that learns from real deployments in diverse environments, on edge & in situ. Every mission trains the fleet. Every site makes the next one faster. Raw data never leaves the system.

Roadmap

Phase 1 — Current

Fleet Learning

Post-mission software on shore-side infrastructure. No changes to operations.

Phase 2

Onboard Adaptation

World models run on the AUV. Adaptive parameters, real-time anomaly detection.

Phase 3

Autonomous Coordination

RL grounded in real fleet experience. Multi-AUV coordination underwater. Simulation dependence replaced by collective real-world intelligence.

Today

Fleet learning that eliminates cold starts and turns every deployment into training data.

Tomorrow

In situ swarm intelligence enabling AUV fleets to learn, adapt, and coordinate in environments that have never been mapped without the need to resurface.

Built for fleets operating across diverse sites

Offshore Energy Inspection

Subsea Infrastructure Monitoring

Oceanographic Survey

AUV fleets that learn and share knowledge in unmapped waters

What one vehicle discovers makes every vehicle smarter, mid-mission.