Banks have the data.
Builders have none.
Sensitive customer data can’t leave the building, so the models that could widen financial inclusion in West Africa never get trained. NOVA breaks the deadlock: generate privacy-safe, realistic financial data on demand, from your own rules or from a file you already have.
THE DATA DEADLOCK
TWO WAYS TO MAKE DATA
Create from nothing
Tell NOVA what you want: the columns, and the rules behind them, like “a brand-new account making a large international transfer is likely fraud”. It builds realistic records from nothing. No dataset needed. Seven ready-made domains, or define your own.
Copy from real data
Already have a real dataset? NOVA studies its patterns (the ranges, the relationships, the unusual cases) and creates a brand-new set that behaves the same way, but belongs to no real person.
WHAT YOU CAN GENERATE
HOW IT WORKS
Describe what you need
Pick a domain (loans, transactions, insurance, or define your own) and tell NOVA the columns you want and the rules behind them, like “rural schools have lower pass rates”.
Generate new data
NOVA creates brand-new records that follow your rules. No real data required, just domain knowledge. Or upload a file you already have and get a safe synthetic twin.
Check it’s good
NOVA checks four things: does it look realistic, are the relationships right, can you train a model on it, and is it truly private? All four pass.
Download and use
Get a CSV you can use straight away, for training, testing, or sharing, without exposing a single real customer.
EVERY BATCH IS CHECKED FOUR WAYS
Does it look real?
The shape and spread of every field matches reality.
Are the relationships right?
Income still drives loan size; risk still drives default.
Can you actually use it?
A model trained on it performs almost as well as on real data.
Is it truly private?
No record is a copy of, or traceable to, a real person.
Try it yourself.
Pick a domain, or upload your own CSV. No sign-up.
Open the studio →