Physical AI & robotics

Data robots learn from. Judgment on how they did.

Before training: real people performing real tasks, captured to your spec. After training: a trained team that scores every attempt and explains every failure.

Physical & Embodied AI Data

Real-world data to teach robots everyday tasks.

Staged environments and real people performing daily-life tasks, for embodied and robotics AI, captured to spec at scale.

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Robot Evaluation

Human evaluation for robot models, trial by trial.

A dedicated team that scores robot rollouts, compares policies head to head and explains every failure, to one consistent standard.

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How every engagement starts

Small, paid, and judged on evidence.

01

Send a sample

A representative slice of your data or rollouts, including the cases you find hardest.

02

We write the guide

A written guideline or scoring standard, agreed with your team before any labeling starts.

03

Paid pilot

A dedicated team works the sample, with a double-checked portion and agreement numbers you can see.

04

Scale or stop

You decide on the evidence. The same people carry on if you scale.

The model

One way of working behind everything we do.

01

A dedicated pod, live in ~3 weeks

We recruit and train a dedicated, in-office team for your domain and ramp it under daily QA — not a rotating, anonymous crowd. A small paid pilot proves quality before you scale.

02

Independent & data-firewalled

No Big-Tech owner, no conflicted incumbent. Your data is handled by vetted staff under signed NDAs in a controlled, access-controlled environment — never farmed out.

03

Consistency that compounds

The same retained team learns your taxonomy and edge cases, so each new product line, region, template or language is a re-train — not a restart.

Not sure which one fits? Tell us about the data.

Describe what you're building and what's slowing you down. We'll point you to the right team and scope a small paid pilot.