Test your assumptions.
Connect your business history to verified external data and ask in plain English. Every answer computed, never guessed - every forecast graded against what actually happened.
Of the measured lift, 61.4% came from buyers who had ordered in the prior 90 days - the demand was mostly already there.
TUESDAY, 10:30 AMTHE Q3 REVIEW
Forecast. Then forget.
Every business forecasts - budgets, demand plans, pipelines. Almost none keeps a graded record of what was predicted, which assumptions drove it, and what actually happened. The same assumptions drive the next decision. Repeated error, no institutional learning.
The questions you already have.
Queued behind the data team's backlog - or never asked, because asking used to mean a two-week analysis request.
Ask in plain English.
State the belief in ordinary language. DeltaBook turns it into an explicit test - the proposed assumptions and data shown before anything runs. You approve, the engine computes - and every figure carries its sample size.
Five steps. No code.
Every conclusion has a receipt.
Every number is computed - never generated by AI. Inputs, sample, method, timestamp: click any figure and see exactly how it was built, as of what moment. When the evidence is mixed, the answer says so.
Track the Difference.
Forecast vs actual, graded automatically - permanently attached to the exact strategy version that made the call. Find out whether your forecasting was ever right. And keep finding out.
Call the meeting.
Most owners are the domain expert - what they lack is the bench. Ask one question and every lens answers: finance, revenue, operations, marketing, each reading the same computed evidence through its own metric library. A factual dispute becomes a test, not a longer meeting. You keep the chair; the decision and its forecast freeze, and reality grades them.
Roadmap - direction, not shipped productYour data, your questions.
Upload what the business already has - the AI cleans it into a structured bank. Then test the questions you argue about in meetings, and get a computed answer with a record. A few that owners bring:
Whatever the question, the workflow is the same one you saw the instrument run: describe the belief, confirm the test, read the computed answer, keep the record.
Outside data, ready to connect.
Every source enters the same way: captured, timestamped, verified - then joined to yours.
Your data stays yours.
A private tenant environment, isolated from every other client. Encrypted in transit and at rest. Never used to train any model. Role-based access, an audit trail on every read, retention and deletion under your control.
Roadmap - SOC 2, then Singapore DPTMThe showroom.
Every answer drills down to the raw rows it stands on - nothing hidden. The working example runs on 27 seasons of sports history, always as it stood at the time; for your company, it swaps teams, games, and indicators for your customers, transactions, and KPIs. Same instrument, same discipline, your data private.
A shared memory for the whole business.
Every question, test, disagreement, and outcome builds into a lasting record: what was believed, how it was tested, what held up. The company stops forgetting why it decided.
Roadmap - direction, not shipped productDesign-partner program.
A small number of founding clients. One high-value recurring decision, four weeks to a live answer - paid implementation, then subscription, pricing on contact. Your team keeps every result, including the ones that say the assumption did not hold. That answer is the product.
Request a working session.
Measure what matters.
One decision. Your data. A private working session.
Request a working session