Research & Data Access

The WELL (World Experience Learning Library) is a multi-modal training dataset built from real-world human physical activity. Motion capture, spatial orientation, video, audio, and task context collected by TRACE contributors during ordinary daily work and leisure activities across diverse environments and geographies.

The dataset is designed for training embodied AI systems: humanoid robot control policies, Vision-Language-Action models, and behavioral foundation models that require grounded understanding of how people actually move and interact in unstructured settings.

It is offered under a license built to be the easiest yes in your stack: generous, no-cost carve-outs for research, development, and every pre-revenue stage — and a de minimis fee (usually under 1%) that begins only when your revenue does.

Free to build.

The WELL is released under the TRACE Human Task Data License (HTD). The whole license is built around one idea: stay out of your way until the work is actually making money. You build freely now, and share a little of the upside later — only once there is real revenue, and even then barely.

Build freely. Download, train, fine-tune, evaluate, benchmark, deploy, publish, and even manufacture — at no cost. There is no fee to negotiate, no gate to clear, and no permission to wait on; you accept the license terms and get to work. Academic research, experimentation, pilots, demonstrations, and pre-revenue products all live on the free side of the line.

Then a fee that barely registers. Once a product is actually selling, or a service is actually charging, the license fee is closer to a rounding error than a cost — a sliver of the revenue it rides on, sized to disappear into the margin. Pre-revenue services get up to two years to grow first, and the free-to-paid boundary is fixed in the version you accept, so you always know exactly where you stand.

A license that works with you. Because TRACE earns only when you do, the whole design points one way: getting the data into your systems and keeping it working — for you and for the people who produced it.

Clean to build a company on. The fee is a cost of goods, not equity — it never touches your cap table or takes a stake in what you build. And properly licensed, KYC-sourced, provenance-tracked training data is the kind of clean sourcing that holds up in diligence.

Provenance and verification. Every record carries provenance metadata, and the dataset is built for downstream traceability through provenance records and watermark verification as those methods mature. This protects honest licensees and keeps the contributor revenue-share accounting auditable.

Never used to identify people. The license categorically prohibits using the data — or any model trained on it — to identify, re-identify, or biometrically recognize the people who produced it. This is a core term, not a configurable setting.

The full license suite — base license, standard commercial terms, and policies — is available for review on request.

Data access: coming soon

TRACE is currently in private alpha. The WELL dataset is under active development as our first contributors begin collecting verified task data.

We are building toward commercial licensing of the dataset for research and product development in embodied AI. If you are a researcher, founder, robotics company, or AI lab with interest in early access, partnership, or licensing, we would like to hear from you.

What we can discuss now:
- Data modalities, formats, and collection methodology
- Licensing structure and terms
- Research collaboration and early access programs
- Custom data collection for specific task verticals

Contact

For research inquiries and data licensing:

@exosequitur on Telegram

For general questions about TRACE, join our community:
TRACE Telegram group  |  @TRCDynamics on X

In private alpha - public beta coming soon
Check the FAQ