Built on experience.
Focused on what's next.
Streamlytics brings years of experience in human-contributed data acquisition and large-scale processing to the development of custom AI training and evaluation datasets.
Discuss a Data Partnership10B+ data points.
125 countries.
Streamlytics processed more than 10 billion data points from contributors across 125 countries, building experience in distributed data acquisition, contributor engagement, incentive programs, and large-scale data processing.
That experience continues to shape how we approach human-generated data today.
Built around
human contributions.
Streamlytics was founded on a simple idea: people should have a meaningful role in how their data is collected, used, and valued.
We developed technology that enabled individuals to contribute their own data, creating a new relationship between people and the organizations seeking to understand the information they generate.
Along the way, we built experience in contributor acquisition, participation incentives, data collection, and processing at scale.
That human-centered foundation remains central to how we work.
Experience applied to AI.
Today, Streamlytics works with AI developers and research teams to develop custom training and evaluation data shaped by their needs.
Our approach combines human contributions, domain expertise, and project-specific data collection to support the development of more capable AI systems.
Whether the project calls for professional task demonstrations, expert-generated data, or specialized evaluation datasets, we begin with your research objectives and work together to define what needs to be created.
Let’s define the data
your model needs.
Discuss your target capabilities, data requirements, and evaluation objectives with Streamlytics.