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Custom AI
training data.

Defined around your requirements. Streamlytics works with AI labs and model developers to define, collect, and deliver human-generated training and evaluation data through managed contributor cohorts.

Discuss a Data Partnership Explore Our Capabilities
Human contributions.
Purpose-built datasets.
Move your cursor.
Follow the connections.
Custom data. Defined with you.TRAININGHUMAN DATAEVALUATION

Proven experience.
Global reach.

Streamlytics has historically processed 10B+ data points, with 125 countries represented. Our experience spans distributed contributor recruitment, incentive programs, human-contributed data acquisition, and processing.

Data shaped by your
research objectives.

For training, post-training, and evaluation teams: specialized data projects scoped around target capabilities, model limitations, and agreed quality criteria.

We collect and generate custom training data tailored to your specific needs. We collaborate on deliverables, contributor qualifications, collection methods, and acceptance criteria before coordinating production.

Collection + generationProject Types

Professional workflows, computer-use demonstrations, human-agent interactions, and coding-agent trajectories.

Explore this capability

Custom training data shaped around your research objectives, from professional workflows to specialized task demonstrations.

From research question
to agreed deliverables.

Define the requirements.

Share your research objectives, model limitations, and intended use. Together, we define the data specification, contributor expertise, and quality criteria.

Coordinate human contributions.

We source and coordinate qualified contributors for the agreed collection or generation process, with review requirements defined for the project.

Prepare and deliver.

Data is prepared and delivered according to agreed specifications, acceptance criteria, and licensing terms.

Let’s define the data
your model needs.

Discuss your target capabilities, data requirements, and evaluation objectives with Streamlytics.

Discuss a Data Partnership