73 Strings buys Callisto to push agentic AI into private markets
What's the deal? 73 Strings has acquired Paris-based fintech CallistoDealroom has a profile for this one. Try Dealroom →, adding agentic AI technology and engineering talent to its valuation and portfolio intelligence platform. Financial terms were not disclosed.
What's the endgame? The deal aims to move 73 Strings beyond extracting and analysing data toward AI agents that execute workflows — from due diligence to investment documentation — directly on its platform. Callisto's team will help turn the company's Valuation, Extraction, and Monitoring products into agent-addressable platforms using the Model Context Protocol (MCP).
Callisto's technology uses agentic data pipelines, custom embedding models, and AI orchestration to automate complex private markets tasks. It works with European private equity and private credit firms representing more than $200 billion in assets under management.
Why now? As portfolios grow larger and more complex, 73 Strings wants to shift portfolio analysis beyond historical reporting toward systems that model potential outcomes. One early focus is simulation within 73 Intelligence, its data and valuation platform, letting clients model how portfolios and fund-level outcomes respond to shifting market assumptions.
"Our ambition is simple: to be the infrastructure private capital runs on," said co-founder and chief executive officer Yann Magnan, who called Callisto one of Europe's stronger private-capital-focused AI teams.
The hire: Callisto co-founders Charles Farhat and William Profit have been appointed co-heads of AI Product, reporting to chief product officer Matt Storey. Profit previously worked at BloombergDealroom has a profile for this one. Try Dealroom →, where he helped scale foreign exchange systems handling trillions of dollars in transaction volume, and at Motive PartnersDealroom has a profile for this one. Try Dealroom →; Farhat has a background in applied mathematics and nuclear engineering.
What could go wrong? Institutional private markets demand tight controls, and automation raises the stakes on accuracy. 73 Strings said its approach combines agent-driven automation with traceable calculations and a deterministic core valuation engine, keeping human judgment central to valuation decisions.
The signal: The deal reflects a broader race to apply AI to labour-intensive investment processes and organise fragmented portfolio data. 73 Strings serves clients representing more than $20 trillion in assets under management, including nine of the world's 10 largest private capital firms — a scale that turns each acquisition into a bet on where private markets infrastructure is headed.
Read more: citybiz.co
Image credit: Generated with Gemini
