From what happened to what happens next.
Multi-step questions where one source's answer drives the next, and forecasting models built from a conversation, with an accuracy figure you can trust.
One source's answer shapes the next question.
Some questions can't be answered in one read. Optialy chains sources: it finds the days that matter first, then reads the other systems for only those days, in parallel, then computes the answer in code.
See the future, and how much to trust it.
Churn, demand and propensity models, built from a conversation. No data science team required.
- Leaky fields removed before anything is built
- Nothing runs until a person approves the brief
- Must beat a simple baseline
- Graded once on data the model never saw
Four steps. A person signs off before anything is built.
The guardrails are mechanisms, not prompts. The test data stays locked away from the model search.
Explore
Profiles your live sources, checks joins, removes fields that would leak the answer, and writes a brief.
Approve
A person reviews the brief and signs off. It can't change once the run starts.
Optimize
An unattended, budget-capped search over features and model families that must beat a baseline.
Serve
Graded once on a sealed test set. Re-score new data whenever you need it.
Built from a conversation by the business team.
No data science hire, no data project.
Churn
Which customers are likely to leave, and why.
Demand
Weekly orders and inventory needs, by product.
Propensity
Who is most likely to buy, renew or upgrade.
Recurring feeds
Scores refreshed on new data, on demand.
One question. Every relevant source. Trusted wherever work happens.
Start with one question that costs you money today. We'll answer it on your live data.