Crowd Workers Aren't Enough Anymore
AI models got smarter. The people evaluating them didn't keep up. We fixed that.
The Problem
AI companies spend millions on evaluation data from crowd workers who don't understand the domains they're labeling. A crowd worker can't tell you if a model hallucinated a drug interaction. They can't spot a flawed legal argument. They can't evaluate whether generated code will break in production. The result is evaluation data that looks good on paper but fails in the real world.
What We Do About It
We built a network of credentialed domain specialists — licensed physicians, practicing attorneys, senior engineers, research scientists — who evaluate AI outputs in their area of expertise. We handle the recruiting, credential verification, matching, quality assurance, and payments. AI companies get evaluation data they can actually trust.
How We Operate
No Shortcuts on Credentials
Every evaluator's professional background is verified before they touch a single task. Licenses, certifications, employment history — we check it all.
Fair Pay, Always
$50–150+/hr based on domain and complexity. Evaluators are professionals and we pay them accordingly. No race-to-the-bottom pricing.
Quality Is the Product
Multi-layer QA on every evaluation batch. Automated checks, peer review, statistical reliability analysis. If it's not right, we redo it.
The Team
Small team. Backgrounds in AI research, product, and operations. We built this because we saw firsthand how bad evaluation data was slowing down the best AI teams in the world.