Goodeye Labs is building the trust layer for the AI economy. AI models can be confidently wrong. This creates real risks for businesses that rely on them. The answer is rigorous evaluation, but evaluating AI is not easy. AI is not like traditional software, and evaluating it requires many stakeholders. Domain experts like teachers, doctors, and financial analysts know what the quality bar for AI should be. But they often can't code. AI engineers and data scientists can build evaluation systems tailored for AI. But they don't know the quality bar. This gap burns time, money, and trust. Goodeye Labs is bridging the gap between domain expertise and technical implementation. We put domain experts in the driver's seat for AI evaluation. What used to take weeks of back-and-forth between stakeholders now takes minutes.

Goodeye Labs is building the trust layer for the AI economy. AI models can be confidently wrong. This creates real risks for businesses that rely on them. The answer is rigorous evaluation, but evaluating AI is not easy. AI is not like traditional software, and evaluating it requires many stakeholders. Domain experts like teachers, doctors, and financial analysts know what the quality bar for AI should be. But they often can't code. AI engineers and data scientists can build evaluation systems tailored for AI. But they don't know the quality bar. This gap burns time, money, and trust. Goodeye Labs is bridging the gap between domain expertise and technical implementation. We put domain experts in the driver's seat for AI evaluation. What used to take weeks of back-and-forth between stakeholders now takes minutes.