Experiment OS for in-house experimentation teams

If your experimentation programme lives across spreadsheets, ad-hoc docs, and a testing platform that was never meant to be your source of truth, you end up with confusion, duplicated work, and weak decision-making.

Experiment OS gives you a structured flow from research → hypotheses → experiments, with Bayesian analysis that makes uncertainty explicit. It’s built to help teams ship fewer “wins” that don’t replicate, and more changes that actually improve outcomes for users.

Privacy-first by default, GDPR-minded, and designed for teams who want better conversion without resorting to dark patterns.

What you get

A single system for planning, running, and learning from experiments.

Honest decision-making

Bayesian analysis with proper stopping rules. Share probability and expected loss, not false certainty.

Privacy-first by design

Minimal data collection and clear audit trails. Designed for GDPR-minded teams who don’t want creepy tracking.

Built for in-house teams

Keep work organised by organisation, projects, and experiments. Make it easy to see what’s running and why.

Collaboration without chaos

Role-based access for small teams. Keep knowledge and decision history in one place, even when people change roles.

Bayesian statistical analysis visualisation showing probability and uncertainty

Stop improvising. Start experimenting properly.

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