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Cadre Founder Ryan Williams Raises $10M Seed for Ellis AI, an AI Platform for Private Credit Managers

Ellis AI platform dashboard on a monitor in a modern office, representing AI-powered private credit management.

Ellis AI, a startup founded by Ryan Williams, announced Thursday that it has emerged from stealth with $10 million in seed funding. The round includes investments from First Round Capital, 645 Ventures, Harlem Capital, Khosla Ventures, Thrive Capital, Slow Capital, and Mellody Hobson, CEO of Ariel Alternatives. The company is building AI agents to address the fragmented workflow challenges that private credit managers face, from managing scattered documents to reconciling spreadsheets and correspondence.

Ellis AI is a new platform that uses AI agents to centralize and automate back-office tasks for private credit firms. It raised $10 million in seed funding and was founded by Ryan Williams, who previously created the real estate investment platform Cadre.

From Cadre to Ellis: A Founder’s Next Act

Williams is best known for co-founding Cadre in 2014 alongside Josh and Jared Kushner. The real estate investment platform raised over $160 million and reached an $800 million valuation before being sold to alternative investment firm Yieldstreet in 2024 for an undisclosed sum. Williams says the experience at Cadre directly shaped his decision to build Ellis.

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“At Cadre, I saw the next major constraint,” Williams said. “Even as the front end of private markets became more modern and accessible, the operating infrastructure underneath it remained fragmented.” He began working on Ellis last year.

The startup’s goal is to connect and centralize the software, accounting information, and documents a private credit firm uses into a single, accessible platform. The system can flag data discrepancies and uses AI agents to handle tasks like portfolio monitoring and preparing reports. Williams highlights that the agents can help close a fund’s books at the end of the month, a process that often involves manually downloading files from multiple systems, reformatting data, and investigating balance differences.

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“A team may have to download files from several systems, reformat the data, compare balances, investigate discrepancies, and re-enter information by hand. In many firms, Excel becomes the operating system,” he explained. “Ellis connects to the systems and documents a firm already uses rather than forcing it to rip everything out and start over.”

Human-in-the-Loop Approach and Market Context

Williams emphasizes that Ellis keeps a human in the loop. “Material decisions and actions remain with the human experts,” he said. When asked whether AI could eventually operate fully autonomously, he said, “I expect the human loop to become narrower, but not disappear. Our goal is not to replace human judgment; it’s to help people cut through the noise and make educated decisions faster.”

The private credit market has grown rapidly in recent years, with assets under management exceeding $1.7 trillion globally. As the sector expands, managers face increasing pressure to streamline operations and reduce manual back-office work. Ellis enters a competitive field that includes established fintech players and emerging AI-native startups, but its focus on connecting existing systems rather than replacing them could differentiate it.

The funding round’s investor list is notable for including both top-tier venture firms like Khosla Ventures and Thrive Capital, as well as diverse investors like Harlem Capital and Mellody Hobson. This mix suggests confidence in Williams’ vision and the market opportunity for AI in private credit operations.

Looking ahead, Ellis will need to prove its platform can scale across different firm sizes and integrate with the complex, often legacy systems used in private credit. The company’s success will likely depend on its ability to demonstrate tangible efficiency gains and win trust in a sector that handles sensitive financial data.

Neelima Kumar

Written by

Neelima Kumar

Neelima Kumar is a technology and AI reporter at StockPil who covers artificial intelligence trends, enterprise software, and the intersection of technology with financial markets. She has spent seven years tracking how emerging technologies reshape industries and create investment opportunities. Neelima previously reported on tech for VentureBeat and Wired, and her analysis has been featured in MIT Technology Review.

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