Case Study · B2B Sales
AI lead discovery for a national ingredient supplier
The problem
A national sales team with a most wanted account list and no way in. Their existing data platform returned nothing usable on the hardest targets, and manual research burned one to two hours per lead, often ending without a contact.
What we built
An AI lead discovery engine that scans news sources, hiring signals, advertising libraries, retail shelves, and public filings for companies in the buying window, scores them, and returns the right decision maker with a verified working email, checked against its live mail server. Approved leads flow to Salesforce with full source attribution. A human approval gate sits in front of everything.
Early results
- Verified decision maker contacts delivered on the majority of the hardest accounts on their list, including several their data provider had returned empty on for years.
- Contacts delivered across innovation, R&D, procurement, and executive roles, in the order the sales team actually calls them.
- Hours of research per lead replaced by minutes of review.
- 267 automated tests behind the engine before the first lead was ever delivered.