The problem
Some companies' most guarded asset is not money but formulas. Our client, a perfume manufacturer running SAP Business One alongside a French formulation ERP, had a rule that disqualified nearly every AI vendor who walked in the door: no data leaves the building. Ever. Not to a cloud, not to an API, not "anonymised." Which left them watching competitors adopt AI while their own systems — two ERPs that barely spoke — kept planning blind.
The solution
Our design takes the constraint as the brief. Everything runs on hardware inside the client's walls: demand-forecasting models trained on their own sales history; an analytics layer that finally unifies the two ERPs into one picture of the business; automation that turns sales projections into procurement suggestions; and customer and supplier intelligence built from data that never moves.
Where language models are useful, they are local models on local machines — the same pattern as VerifAi's self-hosted mode, already working software. The solution demonstrates something we believe more clients will demand each year: modern AI does not require surrendering your data to someone else's computer. The intelligence can come to the data.
