Intelligence & AI

Your data, turned into better decisions.

At Inovbi, AI is not a feature we add at the end. It is how we build: around each customer’s own data, we design the models that turn everyday activity into the best decision-making tools we can give your teams.

Our commitment

We build the models around your data — not the other way round.

For every customer, the same commitment, carried out in their own workspace:

Your workspace — your database only
01 / 05 Collect

The activity your teams record, and what comes in from your other systems, is gathered in your own database.

CSMInvoices, payments, promises
RSMLoans, repayments, arrears
ESMOrders, stock, finance
CSMWho to call firstwith its reasons0
RSMWhich loan will slipwith its reasons0
ESMWho may stop buyingwith its reasons0

What we believe

Three convictions behind every model we build.

Your data is your best adviser

No generic benchmark knows your customers like your own history does. That is why our models learn from your company’s data — and from nothing else.

A score must explain itself

A prediction is only useful if you know where it comes from. Every score we show comes with the reasons behind it, in plain words.

People decide

AI is there to sharpen judgement, not to replace it. It ranks, predicts and suggests; your teams stay in charge of the decisions that matter.

AI you can trust

The rules we hold ourselves to.

Your data, and only yours

Each company has its own database. Models are trained inside it, on its history alone — never pooled with other customers’ data.

Enough history first

A model is trained only when there are enough real outcomes to learn from. Until then, the product says so rather than inventing a score.

Measured on cases it never saw

Every model is tested on history kept aside from its training, so its accuracy reflects real life — not what it has already memorised.

Every score explained

Each prediction lists the factors that pushed it up or down, so the person using it can check it.

It keeps learning

Models retrain on a schedule as new outcomes come in, so they follow your business as it changes.

In every solution

One philosophy, applied to each business.

See the AI on real-looking data.

Each demo workspace comes with its history and its models already trained. Open one and look at the reasons behind every score.