MoVo — Human demonstration data for humanoid robots

The data gap

LLMs trained on the internet. Robots can't.

Physical AI needs embodied data — recordings of how humans actually perform real-world tasks. Unlike text for language models, it isn't sitting on the web. It has to be produced — and that's the single biggest bottleneck in robotics today.

01 The field has converged on human demonstration

Apple's EgoDex, NVIDIA's Isaac GR00T, and every serious foundation-model lab now train on egocentric human-demonstration and teleoperation video. The need is structural and recurring — every model version requires more.

02 Most existing data is the wrong kind

It's factory floors, labs, or generic offshore footage. There's a coverage gap for real residential environments with US-similar layouts and appliances — precisely where home and service humanoids will operate.

03 Quality data is expensive and slow to produce

Production-grade datasets routinely run $50K–$200K and take months to stand up. Marketplaces deliver inconsistent, pooled gig labor. Teams need a reliable supplier — not a one-off scramble.

$27.6B

raised by robotics & physical-AI companies in 2025 — all bottlenecked on the same thing

The capital is here. The models are here. The robots are shipping. The one thing missing at scale is the demonstration data to teach them — and that's the line MoVo runs every single day.

The product · three tiers

Sold by the hour of delivered egocentric video.

Choose the preparation depth. Start with a pilot; scale to a recurring weekly or monthly line.

Tier 01

Raw

$25/hr

Egocentric video in the same form factor your models train on — no proprietary-rig calibration tax.

✓ 1080p / 30fps mobile capture
✓ Clip-level metadata (task, environment, anon. worker ID)
✓ Delivered via S3 or GCS

Raw + QA

$55/hr

Everything in Raw, plus a human quality layer so what lands in your pipeline is already vetted.

✓ Everything in Tier 01
✓ Human task-completeness review
✓ Segment flagging + QA report per batch

Tier 03

Raw + QA + Labeled

$95/hr

Fully prepared data, annotated and formatted to drop straight into your training pipeline.

✓ Everything in Tier 02
✓ Action segmentation
✓ Structured metadata, formatted to spec

The edge

A production line, not a marketplace.

Why teams choose MoVo over gig pools, synthetic-only data, or building collection in-house.

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Real homes, US-similar

Residential environments with US-like layouts and appliances — the coverage gap most datasets miss, and where home humanoids deploy.

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End-to-end, one contract

Capture, QA, labeling, packaging — one team. Output drops straight into your training pipeline.

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Trained operators, not gig labor

Contracted, managed operators — same team across batches, defect SLA, full audit trail. Not a pooled marketplace.

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Continuous flow

A running line on weekly or monthly cadence. A customer of an ongoing supply, not a static dataset.

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Production-grade scale

50,000+ hours shipped since 2024 across 100+ households, with capacity to scale on a signed contract.

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No rig tax

Native mobile egocentric capture — the form factor foundation models train on, no calibration overhead.

How it works

From a real kitchen to your training pipeline.

STEP 01

Capture

Managed operators record egocentric household-task video on mobile, in real US-similar homes.

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STEP 02

QA

Human review for task completeness; segments flagged, a QA report on every batch.

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STEP 03

Label

Action segmentation and structured metadata, formatted to your exact training spec.

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STEP 04

Deliver

Packaged to S3 / GCS on a recurring cadence — a continuous line, not a one-time drop.

The real-world data your robots can't learn without.