Make your data work for you.
Explore a new revenue stream from the knowledge, workflows, and records your business already creates. Start with the data you can authorize for licensing.
Explore selling your data ↗Real-world data. Frontier intelligence.
Private data.
New possibilities.
From robotics demonstrations and audio conversations to code and business workflows, your company’s data holds extraordinary value. We buy and license it, then prepare it for the AI labs building what comes next.
A new connection between industry and intelligence.
⌘ Robotics & physical-world data
≋ Audio & speech datasets
↗ Code & business workflows
From untapped to indispensableFig. 01 / The data landscape
↗ Direct company partnerships✓ Clearly defined usage rights≋ Purpose-built data preparation⊙ Training & evaluation use cases
Two sides. Shared value.
Companies create the experience.
Labs turn it into intelligence. We connect the two.
Go beyond the public internet.
Source hard-to-find company data grounded in real work. Define the domains, formats, and capabilities you need for training and evaluation.
Discuss your data needs ↗The data opportunity
Real work.
Rich learning signals.
Explore examples of data we can seek through company partnerships. These are sourcing categories, not a live inventory.
Code & engineering workflows
REPOSITORIES · ISSUES · CODE REVIEWSConnect implementation decisions to the problems and outcomes behind them.
Explore ↗Robotics & physical-world data
HUMAN DEMONSTRATIONS · VIDEO · SENSOR DATALearn how people and machines interact with the physical world, from object manipulation to equipment operation.
Explore ↗Audio & speech datasets
CONVERSATIONS · TRANSCRIPTS · MULTILINGUAL SPEECHBuild speech and voice capabilities with real-world calls, interviews, and natural conversations across languages.
Explore ↗Support & service interactions
CONVERSATIONS · RESOLUTIONS · FEEDBACKLearn from multi-step problem solving and customer support outcomes.
Explore ↗Business processes & decisions
WORKFLOWS · RECORDS · EXCEPTIONSCapture how real organizations plan, execute, and handle edge cases.
Explore ↗Specialized domain knowledge
TECHNICAL DOCUMENTS · EXPERT ANNOTATIONSBring industry-specific context to training and evaluation datasets.
Explore ↗A considered process
From company data
to lab-ready datasets.
Every partnership starts with a clear use case, a defined scope, and agreed data rights.
01
Discover the fit
Map a company’s available data to a lab’s research needs. Evaluate relevance, coverage, quality, and permitted uses before a deal.
02
Agree on the terms
Define the purchase or license, compensation, permitted recipients, and usage boundaries. Address confidentiality and third-party rights.
03
Prepare for research
Scope filtering, de-identification, formatting, and quality checks for the intended use. Deliver against agreed acceptance criteria.
A few things to know
Good partnerships
start with clarity.
What makes company data valuable?
Useful data captures knowledge or workflows that are difficult to find publicly. Context, consistent structure, clear outcomes, and permission to license can matter more than raw volume.
Do companies have to sell ownership?
No. A partnership can be structured as a scoped license or a purchase. Exclusivity, duration, recipients, and permitted training or evaluation uses are negotiated for each agreement.
How is sensitive information handled?
The data scope and handling requirements are defined before transfer. Depending on the dataset, preparation may require removing personal information, excluding confidential material, or limiting access. Only authorized data belongs in a partnership.
Can labs request a specific type of data?
Yes. Start with the model capability or evaluation need, then specify domains, formats, approximate scale, and licensing requirements. A clear sourcing brief makes it easier to assess fit.
The next frontier starts
with a better source.
Turn valuable data into a valuable partnership.