We let domain experts evaluate AI in minutes.
No coding required.
The Challenge
The challenge is simple: People who know what "good" looks like don't know how to evaluate AI. People who know how to evaluate AI don't know what "good" looks like.
Domain experts like teachers, doctors, and financial analysts know what quality looks like in their domain, but they can't code. AI engineers can build evaluation systems, but they don't know what quality looks like in their domain.
This gap leaves AI teams guessing at critical decisions. Does switching to a new model improve accuracy? How well do users learn from AI-generated content? Is the system reliable enough to deploy? Without domain experts driving evaluation, every answer is uncertain.
This uncertainty results in weeks of revisions, millions in costs, and unreliable AI products.
What We're Building
We're building solutions that put domain experts in the driver's seat for evaluating AI. Teachers evaluate AI tutoring systems. Doctors evaluate AI diagnostic tools. Financial analysts evaluate AI risk models.
If you can grade a paper, you can use our product.
The people who know what "good" looks like finally drive the quality assessment process. No code required, no endless revisions with developers. What used to take weeks of back-and-forth now takes minutes with automated testing.
Goodeye Labs is bridging the gap between domain expertise and technical implementation.
Meet the Founders
Ege Altan, PhD
Co-Founder & CEO
Randy Olson, PhD
Co-Founder & CTO
Ready to Bridge the Gap?
Join AI teams and domain experts building reliable AI products. Get early access to new features and product updates by joining our waitlist.