Starkz AI builds the data infrastructure layer for robotics and physical AI teams. We turn raw sensor, video, depth, and motion data into structured, labeled, training-ready datasets that fit directly into modern ML pipelines.

Our focus is the messy middle of the robotics data stack: ingesting multimodal data, organizing it into consistent formats, attaching useful metadata, and exporting it into formats teams can actually train on. Instead of forcing companies to replace their hardware or rebuild internal tooling from scratch, Starkz AI sits on top of existing data collection workflows and makes the output usable.

We are starting with human motion and robotics demonstration data as the first wedge, with a longer-term goal of becoming the standard structuring layer for physical world data.

Starkz AI

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Starkz AI

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