About Happy Robots

Training… creates consistency

AI doesn't fail because models don't work, it fails because teams aren't equipped to use it well. Training transforms scattered experimentation into skilled, repeatable practice. When people learn when, where, and how to deploy AI, productivity compounds. Consistency becomes the foundation.

Rigor… produces evidence

Dashboards and demos don't earn confidence, real tasks and expert judgment do. We evaluate AI against actual workflows with multi-rater blind scoring and expert rubrics. Rigor turns hope into proof. When you can show evidence of capability, skeptics become sponsors.

Understanding… drives relevance

Generic benchmarks miss what matters most: your work. We build evaluations specific to your workflows, your standards, your stakes. Custom playbooks, prompt libraries, and department-specific context mean AI speaks your language, for your organization.

Scale… multiplies impact

Most enterprise AI stalls in pilot purgatory—promising results that never expand. When training creates consistency and evaluation provides evidence, scaling becomes natural. Fewer dead-end pilots. Faster time-to-value. Defensible decisions that let leaders go big.

Transparency… unlocks adoption

No black boxes. No hype. We publish capability data, share failure modes, and run transparent benchmarks. Trust isn't claimed—it's demonstrated through open methods, honest assessments, and repeatable results. Transparency turns skepticism into partnership.