For AI research labs

For teams running real AI experiments.

Track every prompt iteration. Compare model outputs systematically. Score evaluations across runs. RUQA sits at the intersection of experiment tracking and team intelligence.

Problems

What you're dealing with.

Experiment notebooks scatter

Half your experiments live in Jupyter. Half in Notion. None tied to outcomes or team capability.

Eval results disappear

You ran the eval last month. The number was good. Now you can't find it. Did you ship that version?

Tacit knowledge stays tacit

Your top researcher has prompts and patterns. None documented. When she's away, you're blocked.

How RUQA helps

Specific tools for your workflow.

Sandbox · multi-LLM eval

Run prompts across 4 LLMs. Eval rubric scoring. Regression detection over time.

Pattern mining

AI extracts implicit patterns from top performer outcomes — turns tacit into explicit.

Decision log + retrospective

Every research decision with rationale + automatic 1-week and 1-month follow-up.

Capability heatmap

Track 'eval design' capability across the team. Who's good at what, growing in what.

Outcomes

What teams report.

4 LLMs

compared per harness

100%

evals tracked

harnesses extracted/mo

lost experiment results

See it for your team.

Try RUQA free