AI tooling for teams building serious AI products.
AI model tester.
Think of it like Postman for AI models. Compare outputs across providers, track prompt changes over time, run regression suites on your evaluation sets, and build a shared discipline for how your team ships AI features.
Ship with confidence. Catch regressions before your users do.
eval run - model comparison
Why Labs matters - The evaluation layer
Production AI needs a testing culture.
AI apps need testing discipline
Prompt drift, model updates, and silent regressions make repeatable testing non-optional.
Evaluation must become routine
Not a one-off. Part of every deploy, prompt change, and configuration swap.
Dev tooling is a category
AI-native teams need the equivalent of Git, Jira, and Postman, built for model behaviour.
Future direction - Roadmap
Labs expands from comparison into evaluation, agents, and internal leverage systems.
AI model tester - private beta
Core comparison, prompt history, and regression suites.
Evaluation workflows
Shared eval sets, team-level scoring, and CI integration.
Agent workflow tooling
Traceability for multi-step agent runs.
Internal leverage systems
Closed-loop systems for AI-native product teams.
Let's build
Evaluation discipline is becoming product infrastructure.
UGECO Labs is the tooling expression of the broader UGECO thesis: AI products should ship faster without hiding reliability risk.