About Us

AI products are only as good as your ability to evaluate them.

As Kevin Weil, Former CPO at OpenAI, put it:

"Writing evals is going to be one of the core skills for PMs."

And as Mike Krieger, Member of Technical Staff at Anthropic, adds:

"If there's one thing we can teach people, it's that writing evals is probably the most important thing."

We agree.

Yet most teams still rely on demos, spot checks, and a handful of test prompts to make decisions about AI products. The challenge is that LLM behavior is inherently variable. The same prompt can produce different results, and the same evaluation can tell a different story from one run to the next. As AI becomes a larger part of customer experiences and business operations, teams need more than intuition to make decisions.

Plumloom exists to make rigorous evaluation a normal part of product development.

We help teams turn real product scenarios into repeatable evaluations, compare models with confidence, and identify results that represent signal rather than noise. Behind the scenes, Plumloom accounts for model and judge variability so teams can focus on making better product decisions.

Our goal is simple:

Help teams understand how AI systems actually behave before they reach customers.