Better AI Starts with Better Testing

We Give Teams Evidence to Build Trustworthy AI That Users Can Depend On

Who We Are

Our experience with AI testing problems inspired the start of Scorecard. We found companies racing to build AI, relying on spreadsheets and gut reactions. This approach introduces a lot of risk and leaves opportunities on the table. Our team combines expertise in AI testing and practical business experience. We understand the challenge of evaluating unpredictable systems. We also know about the pressure to ship products quickly and confidently.

We built Scorecard to replace subjective reviews with structured testing. Our vision is to help companies improve testing and upgrade AI products with continuous evaluation and smart recommendations.

Our Values

Be Systematic, Not Subjective
We believe AI testing should be strategic and repeatable, not based on gut feelings. Real data and systematic evaluation should back every decision about AI products.
Build AI People Trust
We're committed to making AI systems that people can trust. That means transparent testing, clear metrics, and reliable performance in real-world scenarios.
Keep Humans in the Loop
We believe AI testing should be strategic and repeatable, not based on gut feelings. Real data and systematic evaluation should back every decision about AI products.
Focus on Continuous Improvement
Our platform creates a continuous cycle of testing and improvement. This strengthens AI performance over time and improves the user experience.
Make Evidence-Based Decisions
We help teams replace assumptions with insights. Turning real user interactions into structured data allows organizations to make confident, impactful choices.