Data intelligence for the AI Economy
Supplying data isn't enough.
We provide the data intelligence layer that helps frontier labs and AI companies identify the data they need and shape how their models behave in real-world applications.
WHAT WE DELIVER
- • Learning interfaces aligned with research goals
- • Living data environments that evolve with model behavior
- • Expert-driven evaluations and QA design
- • Research-aware post-training loops
OUR VISION
AI systems continue to improve, yet real understanding remains limited.
The primary constraint is not compute or algorithms, but how experience reaches the model. Simply supplying large amounts of data is not enough. What is missing is data intelligence: deciding what experience a model should have, when, and why.
Data is not just a resource to be consumed. It is an interface — the interface through which models encounter the real world. Data is never neutral. Every data point comes from a specific moment, shaped by context, history, and human decisions, and those moments bend learning. When models are exposed only to patterns at scale, they learn recognition without understanding. The result is surface-level performance, not real capability. Scale without intent turns learning into noise and pulls intelligence away from reality.
Benchmarks capture moments, not reality in motion. They measure static snapshots while the world continues to change. Intelligence does not emerge from volume alone; it emerges when experience is intentional, structured, and grounded in the real world. We shape those experiences.