Human data.
Expert contributions.
Human expertise is essential to building more capable AI. Streamlytics connects AI developers with the people, knowledge, and real-world experience needed to create specialized training and evaluation data.
Discuss a Data PartnershipExpertise matched
to the task.
Every project calls for a different kind of expertise.
From professionals with specialized knowledge to everyday people contributing real-world perspectives, we work with you to identify and coordinate the right contributors for your data needs.
Our approach brings human expertise directly into the development of training and evaluation datasets.
Contributions
with context.
Professional task demonstrations
Capture how people perform real-world tasks, including the steps they take, the tools they use, the decisions they make, and the outcomes they achieve.
Expert-generated data
Work with domain specialists to develop tasks, reference responses, explanations, and other materials that reflect professional knowledge and expertise.
Human feedback and preference data
Collect human assessments, comparisons, corrections, and feedback to help train and evaluate how AI systems respond, reason, and perform tasks.
A managed
contributor model.
Contributor sourcing and qualification
Drawing on our experience operating distributed data contribution programs, we work with you to identify participants with the backgrounds, skills, and experience your project requires.
Collection and quality review
We coordinate contributor participation around clear project requirements, with defined instructions, review criteria, and quality standards to support consistent, usable data.
Consent, provenance, and data rights
Human-contributed data requires clear permissions and responsible handling. We establish project-specific participation requirements, document data provenance, and define permitted uses and licensing terms before collection begins.
Let’s define the data
your model needs.
Discuss your target capabilities, data requirements, and evaluation objectives with Streamlytics.