The AI platform quietly rebuilding the back office of private markets - turning manual, quarterly valuation work into automated, auditable data.
73 STRINGS. The Paris-founded company takes its name from the strings of a concert grand piano - an instrument that only works when constantly, precisely tuned.
Private markets manage tens of trillions of dollars. For much of that money, the work of figuring out what an investment is actually worth - and reporting it to the people who own it - is still done by hand, in spreadsheets, once a quarter. 73 Strings was founded in Paris in 2020 to close that gap.
The company builds an AI-powered platform for the private capital industry: private equity, private credit, venture capital, growth equity, and infrastructure. Its job is unglamorous and enormous - collect the data buried inside fund documents and portfolio-company reports, monitor how those companies are performing, and estimate the fair value of assets that don't trade on any public exchange. 73 Strings describes itself as "the governed data and valuation infrastructure for transaction-grade private markets."
What makes it notable isn't a flashy consumer product. It's the roster of backers. In February 2025, 73 Strings raised a $55 million Series B led by Growth Equity at Goldman Sachs Alternatives, with Blackstone, Hamilton Lane, Golub Capital, and Broadhaven Ventures joining. Goldman and Blackstone compete on almost everything - yet both decided the same problem was worth backing.
Figures are company-reported or third-party estimates. AUM refers to assets managed by institutions using the platform, not assets held by 73 Strings.
"Collect and structure portfolio company data, monitor those companies, and estimate fair value - at the click of a button."
The platform is built around three connected modules. Each solves a distinct piece of the middle-office problem, and together they move a fund from raw documents to a defensible valuation.
Automated ingestion that turns unstructured sources - portfolio-company reports, fund PDFs - into structured data, with a claimed ~99% accuracy. It attacks the part of the job nobody enjoys: re-keying numbers by hand.
Real-time portfolio intelligence and performance tracking across equity and credit strategies, with dashboards, custom reporting, and an audit trail for stakeholders and regulators.
An AI-enabled valuation engine that produces fair-value estimates reportedly up to 10x faster and at roughly half the cost - cheap enough to run monthly rather than quarterly.
Bars are illustrative of company-stated claims; "market served" reflects the alternative-asset market 73 Strings targets.
Illiquid assets have no ticker. To value a private company or a piece of infrastructure, analysts pull data from PDFs, rebuild models, and reconcile figures across formats - every quarter, by hand. It's slow, error-prone, and expensive.
As retail money flows into private markets through evergreen funds, the reporting burden grows: more investors, more frequent NAVs, tighter compliance. The manual process starts to break. 73 Strings' bet is that this plumbing has to be rebuilt with automation and audit-ready data.
Many fintech startups pitch disruption. 73 Strings sells into the incumbents instead. Rather than replacing general partners, it hands them tooling - which is a large part of why firms like Goldman Sachs and Blackstone are comfortable both using and funding it.
Extract, Monitor, and Value share one data spine, so a number sourced from a document flows through to a valuation and a report without re-keying.
SOC 1 and SOC 2 compliance and an audit trail target the exact concerns of institutional buyers and regulators - "transaction-grade" data, in the company's words.
The alternatives: traditional third-party valuation-services firms and providers such as Kroll, plus data and portfolio-monitoring platforms like Chronograph, Allvue, and Anduin. But the most common competitor is still the in-house spreadsheet.
CEO Yann Magnan spent years inside the valuation-services business before co-founding 73 Strings - watching analysts rebuild the same models every quarter. The founding thesis was simple: scale the software, not the headcount.
73 Strings is enterprise B2B SaaS. It licenses its cloud platform to asset managers, GPs, banks, and service providers - typically on subscription or enterprise contracts - with institutional-grade security and compliance built in.
The company positions itself as infrastructure for a roughly $17.6 trillion alternative-asset market. It sits in the "middle office" - between deal teams and investors - a layer that automation reached late and that 73 Strings is trying to define as its own category: valuation technology.
Yann Magnan and co-founders launch 73 Strings to automate the manual middle-office work behind private-market investing.
The platform scales to clients collectively representing more than $2 trillion in assets under management.
Blackstone Innovations Investments and Fidelity International Strategic Ventures lead the round, with Broadhaven Ventures participating.
Goldman Sachs Alternatives leads a $55M Series B; 73 Strings also wins the inaugural Valuation Technology Award and anchors a global operating model in New York.
"73 Strings is the governed data and valuation infrastructure for transaction-grade private markets."
Profile compiled from public sources including 73strings.com, BusinessWire, Sifted, Silicon Canals, The Drawdown, and Crunchbase. Financial figures are company-reported or third-party estimates and are approximate. Last reviewed July 2026.