Revi

Revi identified a critical constraint in M&A deal sourcing: investment banks, PE firms, and corporate development teams spent thousands of hours annually on manual prospecting that produced inconsistent results. ​​‌‌‌‌‌‌‌​‌‌​​‌​​​​​​‌‌​‌‌‌​​​‌‌Senior analysts bore the brunt, executing repetitive research across company databases, financial records, and market intelligence to identify acquisition targets matching specific investment criteria. The problem was measurable—deal teams tracked sourcing efficiency metrics and knew exactly how many hours disappeared into preliminary screening. The existing alternatives were stark: hire more junior staff to handle volume (expensive and error-prone), purchase expensive third-party data feeds (incomplete and generic), or accept that only the highest-conviction opportunities received thorough vetting. Early validation came quickly after launch in September 2023. KPMG and platforms backed by major PE firms like KKR and Nordic Capital adopted Revi within months, signaling that the market desperately needed automation that could maintain deal quality while dramatically expanding sourcing capacity. These marquee customers validated that agentic workflows could replicate nuanced deal origination logic at scale.

Revi launched their MVP in September 2023 with a deliberately narrow scope: automating the initial deal sourcing phase for PE firms, rather than attempting to handle the entire M&A workflow. They deliberately excluded deal analysis, valuation modeling, and CRM integration—features that would have extended development by months. This constraint forced them to ship quickly and validate their core hypothesis: that AI agents could reliably identify acquisition targets matching specific investment criteria. The speed paid off immediately. Within months, they landed KPMG and attracted users from KKR-backed platforms, validating that investment professionals would trust AI-generated deal lists. This early traction proved their agentic approach solved a genuine pain point in deal sourcing. By shipping incomplete but functional, Revi demonstrated that precision at scale—their core promise—resonated with their market before building unnecessary features. Their execution approach of ruthless prioritization directly enabled their rapid path to credible enterprise customers.