It knows your strategy and your history, forms the hypotheses, wires up your tools, and keeps every learning.
Strategy docs, experiment results, hypotheses — AI that already knows your business.
Bring your own API key — Anthropic, OpenAI, Groq.
Your stack, wired up via MCP — Jira, PostHog, ads, CRM.
What works for teams like yours.
Live benchmarks and best practices.
Whatever your stack is, you connect it via MCP and Experim wires the experiment up for you. It never pushes you toward its own tools, because it doesn't have any.
Every decision leaves a trace
Every hypothesis, experiment, and pivot — linked and permanent. New hire? They start here.
Every result feeds back in as a learning, connected to the hypothesis it came from.
Start building yours →A new chat, the history retyped — your product iterations and past learnings are never in the room.
It holds your strategic context, your business context, and everything you've tested and learned — no re-explaining, ever.
Experim works from your strategy: it derives the hypotheses worth testing and suggests the right experiments to run them — so every test traces back to a strategic assumption.
Recommendations build on continuous contextual learning — every hypothesis and assumption is continuously evaluated and rated by impact and risk, so you always know where the real exposure is.
Hypothesis workshops, decision meetings, Figma assets, Jira tickets — then wiring up surveys, ads, feature flags, your CRM.
Every idea is challenged against your strategy and existing hypotheses — then turned into the right testable hypothesis and the experiments to run.
Your team challenges the hypothesis before you spend a single euro — not after three workshops.
Automated setup across your existing stack and anything new the experiment needs — weeks of wiring become minutes.
From fake door tests and pricing experiments to outbound campaigns and onboarding optimizations.
Databases, dashboards, recordings — combined manually before anyone can analyse, interpret, and decide.
While the experiment runs, Experim tracks it daily across all your tools, gives you a preliminary read, and alerts you if something's off.
You don't go into Jira — the ticket comes to you, in the chat where you're working. Same for the flags, the survey, the analytics. One place to define the experiment, set it live, and get the results back.
Until a new teammate proposes the experiment that already ran — and it gets discussed all over again.
Results are analysed and baked back into your strategy, your team knowledge, and your growth knowledge graph — connected to the hypothesis they came from.
After a year, your experiment history is genuinely an asset — instead of re-running old tests, new team members start from everything you've learned.
Visualize every assumption across your business, track validation status, and spot blind spots.
You already have an AI subscription of choice — nobody wants a platform fee with a second AI bill stacked on top.
Use the provider and key you already pay for — Anthropic, OpenAI, Groq. No second AI subscription on top of Experim.
Let Experim manage model choice for you: light work goes to fast, cheap models, heavy reasoning to the strong ones — never the best and most expensive model when it isn't necessary. Everything on the top model stays an opt-in.
Running experiments across pricing, onboarding, activation, and channels — finally in one place.
Validating features, testing user flows, and making data-informed product decisions.
Proving new business models and ventures — with evidence the board trusts.
Running experiments for clients. Standardized methodology, professional templates, and learnings that prove ROI.
Hypotheses your team actually reviews before you spend money. A learning loop that compounds. Without a second AI subscription — and without your data leaving Europe. European servers, European jurisdiction.
Start for free →