73 Strings, an AI-powered valuation and portfolio intelligence platform for alternative asset managers, has acquired Callisto, a Paris-based fintech specializing in agentic data pipelines for private markets. The acquisition is part of a broader investment push to embed artificial intelligence more deeply across private capital workflows. Callisto's technology automates complex tasks such as due diligence, data room analysis, and investment documentation preparation.
Strategic Drivers of the Acquisition
The move reflects 73 Strings' ambition to become the core infrastructure on which private capital operates. By integrating Callisto's proprietary embedding models, financial AI harness, and agentic orchestration, the company aims to give general partners a structured environment where AI agents can operate safely. This structure is designed to help firms scale processes and accelerate decision making without sacrificing auditability or human judgment.
Leadership and Product Integration
Callisto co-founders Charles Farhat and William Profit will join 73 Strings as Co-Heads of AI Product, reporting to Chief Product Officer Matt Storey. Farhat brings a background in applied mathematics, nuclear engineering, and deep tech, while Profit previously scaled foreign exchange systems at Bloomberg and worked in private credit technology at Motive Partners. Their team will lead AI product development and help evolve the company's valuation, extraction, and monitoring platforms into agent-addressable systems built around the Model Context Protocol.
Technology and New Capabilities
The integration will prioritize building simulation capabilities into 73 Intelligence, the company's core platform. Clients will be able to model how portfolios, valuations, and fund-level outcomes respond to shifting macroeconomic and market assumptions, receiving auditable answers in minutes rather than weeks. This shift moves portfolio analysis beyond historical reporting toward forward-looking scenario modeling for private markets.
Callisto's Approach
Callisto was founded on the belief that asset managers can unlock AI's full value only when their data resides in a structured, single source of truth. Its platform works with over $200 billion in assets under management for leading European private equity and private credit firms. Joining 73 Strings combines Callisto's AI-native products with global scale and deep private markets expertise.
Growth and Investment Context
The acquisition follows 73 Strings' $55 million Series B in 2025, led by Growth Equity at Goldman Sachs Alternatives with continued support from Blackstone Innovations Investments and participation from Golub Capital, Hamilton Lane, Broadhaven Capital, and 7RIDGE. The company has also hired senior engineering and product leaders from leading software and AI companies over the past quarter. These investments are intended to accelerate delivery of new capabilities with enterprise-grade auditability, reliability, and rigor.
Investor Perspective
Goldman Sachs Alternatives Managing Director Jade Mandel said the acquisition demonstrates 73 Strings' commitment to investing in technology and talent for next-generation private markets infrastructure. She described the move as a strong example of using both organic investment and strategic M&A to accelerate growth. The transaction was supported by legal advisers Pragma Partners for 73 Strings and Quest Avocats for Callisto.
Industry Position and Outlook
73 Strings serves clients representing $20 trillion in assets under management, including nine of the ten largest private capital firms globally. Its platform supports private equity, private credit, infrastructure, and venture capital teams as portfolios grow in size and complexity. The acquisition is expected to strengthen its position as AI-powered infrastructure for valuations and portfolio management.
By acquiring Callisto, 73 Strings is consolidating specialized AI talent and technology at a time when private markets demand faster, more transparent, and more auditable workflows. The integration of agentic AI into valuation and portfolio intelligence signals a broader shift from static reporting to dynamic, scenario-based decision making. With strong investor backing and a global client base, the company is positioned to influence how private capital firms adopt AI across their operations.