Industries · Autonomy

Real-world and synthetic data for autonomous systems

Nationwide commute video from a vetted driver network, ocean footage from vessels and shorelines, and synthetic routes in sun, fog, and rain. Collected to spec, checked on upload, and tagged by condition.

Video Synthetic

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A dark test car with a roof-mounted camera and lidar pod at a wet suburban intersection at dawn

The problem

What makes autonomy data hard

Coverage

Models need every region, time of day, weather, and sea state — not just the routes a fleet happens to drive.

Consistency

Cameras must sit at the same height and angle across thousands of vehicles, recorded by non-professionals.

Privacy

Real traces are scarce and sensitive. Locations, vessels, and people must stay unidentifiable.

How MLtwist helps

One pipeline, built for this data

Our platform prepares and routes the data; our team, yours, or both label it. Every version ships with a Data ID Card.

Contributor networks: Vetted drivers, boat operators, and coastal observers matched to routes, regions, and schedules.
Capture protocols: Mounting guides, setup-photo approval, and test clips before a single full session is recorded.
Real-time QA: Uploads are checked for resolution, frame rate, stability, and visibility, so bad footage is re-recorded right away.
Synthetic expansion: A few real routes become a broad synthetic set with controlled light and weather, validated for timing and behavior.