Evaris is an applied AI research lab focused on evaluations. We study how to measure AI systems rigorously, and give you the platform to build and run evals yourself.
Define evaluation suites, configure scoring rubrics, and run them against any model or pipeline. Evaris handles orchestration, grading, and result tracking at scale.
We publish research on eval methodology, benchmark design, and model measurement. Our findings shape how the field thinks about trustworthy AI assessment.
Evaris surfaces patterns across eval runs, correlating failures, tracking regressions, and mapping model behavior over time so you can act on signal, not noise.
Evaris is a small team of researchers and engineers who believe AI evaluation is one of the most important unsolved problems in the field. We combine rigorous methodology with a fast, opinionated platform.