We’re building a new system of record for finance, one that understands not just the numbers, but the business context behind them. At its core is our Operational Ledger: a financial data layer that preserves every event, calculation, policy, source, and decision behind the financials, rather than reducing them to contextless entries.
Questions that once took weeks to answer become as routine as a Google search: Why did margins change? Which customers are actually profitable? How are we tracking against budget? We’re not bolting AI onto legacy software. Quanta was built from the ground up around granular financial data, flexible primitives, and systems that agents can safely understand and act on.
We’ve spent years closing the books for real, fast-growing companies and turning what we learn into product. We’ve already replaced much of what QuickBooks and NetSuite can do and the manual work surrounding them. Customers are now turning off legacy accounting systems and moving to Quanta.
We’re still early. The problems are hard, the ambition is enormous, and there’s no playbook for what we’re building.
We’re a small tight-knit team working together in person in downtown San Francisco. Our team brings together deep expertise in engineering and finance. We’ve built accounting systems at Affirm, ledgers at Stripe and Robinhood, launched products from 0→1, scaled infrastructure processing billions of dollars, built finance functions, and closed the books under real operating pressure.
We understand our customers because we have been in their shoes. Quanta’s earliest product was built around a few principles we still value: get to learning as quickly as possible, find the simplest solution that works, and build alongside real users and real-world edge cases.
Quanta is for people who want ownership, prioritize learning and outcomes over conventional playbooks, and are comfortable figuring things out as they go. The principles behind our earliest product still shape how we build today: get to learning fast, choose the simplest solution that works, and build with real users in the messy reality of real-world edge cases.