Prodigal
Prodigal builds agentic AI for consumer loan servicing and debt collection, running on the Prodigal Intelligence Engine, an internal platform the company states is trained on half…
Overview
Prodigal builds agentic AI for consumer loan servicing and debt collection, running on the Prodigal Intelligence Engine, an internal platform the company states is trained on half a billion consumer finance interactions and used to carry context across its applications. The suite spans proAgent, an autonomous voice agent, proCollect for omnichannel engagement, proAssist as a real time agent copilot, proNotes for automated call documentation, proInsight for conversation analytics and compliance quality assurance, proPay as a payment portal, and scoreGenie and trainGenie for agentic quality assurance and training workflows. The company describes embedding compliance by programmatically encoding each customer's own regulatory requirements into guardrails that govern all operations. It serves more than 100 financial companies across North America spanning collection agencies, direct lenders, credit unions, auto finance and healthcare revenue cycle providers, and states that nearly one in five United States borrowers has engaged with its systems. Published results include up to 27 percent more digital engagement, 16 percent more payments and 30 percent greater agent effectiveness, with more than 15 million loan accounts analyzed. The listed auto lender Consumer Portfolio Services announced its selection of Prodigal for collections and servicing through its own investor relations channel. Founded in 2018 in Mountain View, California by Shantanu Gangal and Sangram Raje, it has raised 14 million dollars from Y Combinator, Accel and Menlo Ventures.
Details
Raising capital?
CrackTheDeck analyzes your pitch deck before investor meetings — structure, narrative, and fit.
Analyze My Deck →