You bring a dataset and a question. We build the analyst.
Not a chatbot reading your CSV — a purpose-built analysis, constructed for your specific question by specialized builder and verifier agents, delivered as a piece of work you own and can run again.
Ask your question → See the pipeline stages
Worked results in the pipeline case studies →
First, your question is read like an analyst would read it.
A question arrives with context: what industry the data comes from, what kind of answer you're after. Before anything is built, the pipeline classifies it against a corpus of real, labelled analysis questions, capturing the domain (retail, finance, operations, research…) and the intent (compare, predict, explain, detect). That match decides which specialist builds your analysis, the same triage a good analyst team does before touching a keyboard. The method itself is chosen at build time by the spec writer, working from your question and a profile of your actual dataset.
Then specialized agents do what a team of analysts would do.
The match instructs the build: specialized builder agents write a specification before any code, then write the R that answers your specific question — and independent verifier agents whose only job is to break it: re-execute the code, test the statistical assumptions, check the numbers against the data, and send the build back until it holds. Nothing ships on the first draft. It's the same division of labor as an analyst team — the scoper, the modeler, the reviewer — with the reviewer's veto intact.
Turns your question and the match into a written analysis plan: method, checks, and what the answer must contain — before code exists.
Write the R for your question — the cohort logic, the model, the charts — to the spec, not to a template.
Re-run everything, test assumptions, compare output to the data. A build that doesn't hold goes back, not out.
A team's working day, compressed into minutes.
The work is real — scoping, building, checking, revising. What's different is the clock. The whole loop runs in minutes for a Brief, under an hour for a full commissioned Deck — not the days it takes to brief a team, wait for a draft, and route the review.
- Scope the question, agree the methodday 1
- Build the analysis, first draftday 2–3
- Review, challenge, reviseday 4
- Write up, format, deliverday 5
- Match domain and intentseconds
- Spec written, R built for your questionminutes
- Verifiers re-run, test, reject, repeatminutes
- Interactive report delivered, cited~7–45 min
You're not buying a report. You're buying the work.
When a build passes verification, you get the report — and you keep the module that produced it: the spec, the R, the checks, as a re-runnable piece of work. Next quarter, point it at the new export. Same question, same method, fresh answer — in a fraction of the time and cost, because the analyst work is already done and it's yours.
Scoping, building, verifying — the full team's pass over your specific question.
Re-run on new data whenever the metric matters again — no re-briefing, no rebuild, a fraction of the first run's cost.
A dataset and a question is enough.
Upload the CSV, ask in plain English, pick your depth. The match, the build, and the verification happen on our side — the work that comes back is yours.
Where to start
One email with your data and your question. We take it from there.
Cymple
Data Scientist
Send me your data and question, I’ll send you the analytics.
Try it on your own data
14 days free.
The whole platform, every depth. No card, no call, nothing to install.
14 days free. →