New York-based Ellis has emerged from stealth with $10 million in seed funding to build what CEO Ryan Williams calls an AI-native operating platform for the private credit industry — a category racing to bolt AI agents onto the fund-administration and portfolio-monitoring workflows that today still run on spreadsheets and PDFs.
The round
First Round Capital led the seed, with participation from 645 Ventures, Harlem Capital, Khosla Ventures, Slow Ventures, Wilshire Lane, Westbound, Collide Capital and Gallery Ventures. Angel checks came from Ariel Alternatives CEO Mellody Hobson, Thrive Capital founder Josh Kushner and Mercury founder Immad Akhund, Ellis said in a July 30 announcement. Proceeds will scale the team and deepen the product across reconciliation, LP reporting, SBIC compliance and document intelligence.
What Ellis does
Ellis unifies data from fund administrators, ledgers, loan-management systems, banks, legal documents and spreadsheets into a single operating layer, then runs AI agents on top for position and cash-flow reconciliation, anomaly detection, exception tracing, LP reporting, portfolio monitoring and SBIC compliance. Williams says the platform is designed to keep humans in the loop for material decisions while automating the recurring back-office cycles that drive up private-credit expense ratios.
Private credit's back-office race
The launch drops into a private-credit market that has ballooned past $2 trillion in assets under management even as most managers still run their operations off spreadsheets — a gap that has attracted a wave of vertical-AI startups betting on agentic automation. Ellis joins peers such as Henry AI for commercial real estate and Freehand for Fortune 500 supply-chain spend in pushing agent-first back-office platforms into regulated financial workflows.
Reporting based on coverage from FinSMEs and Yahoo Finance.