LUMINNOVATE

Questions lenders ask first.

Short answers for credit, risk, data and security teams.

The approach

We already have a data science team. Why would we need this?

Luminnovate gives your team a platform that turns your own history into decisions with their evidence attached, so they spend their time on judgement rather than plumbing. Your team stays in charge of what is used.

How is this different from bank statement categorisation?

Categorisation says what a transaction was. Luminnovate says what the pattern means for the decision in front of you, judged against how that kind of business normally behaves.

Does it replace our scorecard, policy or credit officers?

No. It recommends and explains; your people decide, and your policy and approval authority stay with you.

Does it decide on its own?

No. It recommends and explains; a person with authority approves, and every decision is recorded with its reasons.

Your data

What data do you need?

A historical extract for the decision you want to improve, joined to what happened next. The scope is agreed first, and only the fields that decision needs are used.

Does our data leave our environment?

It depends on the route. Lenders and brokers use a hosted service, which processes your files for your decision and never uses them to train any model. Institutions run the software in their own environment, where only aggregate results leave, and only if you choose.

Can we start before privacy approval is complete?

Yes. Work can begin on a synthetic extract while your privacy and security review runs.

Governance and commercials

How does this fit model risk management?

Every model and signal comes with its documentation, its validation on later periods and its monitoring once live, in the form your validators already expect.

What does a pilot cost?

A fixed price for a fixed scope, agreed before work starts. If it finds nothing worth changing, you get a clear answer and the evidence for it.

Bring us the difficult question.

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