Eval Design
Build measurement frameworks for model quality, user outcomes, and deployment readiness, starting from clear constructs rather than convenient proxies.
Measurement before momentum slips
Better AI decisions start with better measurement.
Eidos Research is a consulting firm focused on psychometrics for AI. We help teams define what they are measuring, build reliable evaluations, and turn noisy model scores into decisions they can defend.
We work with AI labs, applied research teams, and product groups that need more than ad hoc evals. Our focus is psychometric rigor adapted to modern model development cycles.
Services
Evaluation systems that hold up under pressure.
Rater Operations
Design rubrics, calibration loops, and QA processes that improve scoring consistency across human annotators and expert reviewers.
Benchmark Validity
Stress-test whether your benchmark results generalize, identify leakage or saturation, and clarify what a score increase really means.
Threshold Setting
Translate uncertain model outputs into cut scores, launch gates, and governance rules that teams can explain to stakeholders.
Method
Psychometrics, tuned for fast-moving model teams.
Define the construct
We clarify the behavior, capability, or risk you need to measure so the evaluation target is stable before optimization begins.
Engineer the signal
We shape prompts, tasks, rubrics, and scoring rules to maximize interpretability, reliability, and practical decision value.
Operationalize decisions
We connect scores to launch criteria, model comparisons, and ongoing monitoring so evaluation becomes part of governance, not just reporting.
Why Eidos
We care about whether the metric deserves influence.
Less noise
Tighten the link between evaluation outcomes and actual product or research decisions.
More trust
Give leadership, safety, and research teams a shared language for score interpretation.
Faster iteration
Reduce rework caused by unstable benchmarks, weak rubrics, and ambiguous thresholds.
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