Definite

Definite connects operational data with finance so businesses that make, move, build, or operate things can see how the way they run shows up in their numbers.

These businesses already record a lot: production runs, shipments, job sites, equipment hours, work orders. Finance records the same business in a different shape. Operating systems track activity by site, line, or day. The ledger tracks it by entity, account, and month. Both sets of records exist, but the link between an operating decision and its financial effect usually lives in spreadsheets and in a few people's heads.

So questions that should be routine take days. What happens to cash if one plant adds a shift? How does a change in throughput or staffing flow into the forecast? Which operating changes actually moved the numbers last quarter?

Definite connects to existing operational and financial systems read-only. Models propose how operational records map to financial ones and explain what they find. Deterministic rules perform the calculations and checks, so results trace back to the source records they came from. We never write back to your systems.

We met studying at the University of Waterloo. Gurshabd worked at BitGo, where proofs that customer assets matched the ledger were built by hand. Farhan built machine learning systems at Meta. Mazin worked at Optiver, then built LLM agents for financial analysts at Boosted.ai, where he saw that finance teams won't act on a number they can't trace to its source.