The Challenge

Foundation models are running out of things to learn from internet-scale text and generic datasets. To get better at hard problems, they need training data that captures what top specialists know and how they think.

Our Solution

We connect you with the top 1% of experts across every domain to create training datasets you can't get anywhere else. Our experts generate:

Expert-Level Reasoning Chains

Step-by-step solutions that show how an expert actually works through a hard problem in their field.

Domain-Specific Scenarios

Real cases and edge cases that usually come up only after decades of practice.

Current Knowledge

Data on the newest results and open questions in fast-moving fields.

Synthetic Data Generation

Synthetic examples checked by experts, so you get more training data without losing accuracy.

Why This Matters

Models trained on generic datasets top out at intermediate competence. To reach expert level in a specialized field, they need to learn the way human experts did: from the people who already know the field best.

Need expert-level training data?

Tell us where your models fall short, and we'll talk about the data that could fix it.