Yogi Goel

Yogi Goel grew up in a small Indian village where nearly everyone in his family ran a business. One relative processed wheat. Another manufactured toothbrushes. Each operation had its own logic, its own rhythm, its own way of measuring whether things were going well. What none of them had was a common language to compare one against another.

That gap is what pulled Goel toward accounting. To him, the ledger was not paperwork. It was a universal translator - the one framework that could take a wheat mill and a toothbrush plant and say, in the same terms, how healthy each really was. It is a way of seeing the world that he has carried through every job since.

His path ran straight through the institutions that define modern finance. He began as an auditor at EY, the firm he still calls his training ground for discipline and strategic vision. From there he moved to Wall Street, working in mergers, acquisitions and IPOs at Citi and Barclays, helping take companies public and learning how capital markets actually behave under pressure.

Then came Rubrik. Goel joined the data security company when it was doing roughly $5 million in annual recurring revenue and stayed for seven years, working closely with the CEO and CFO as it scaled to about $900 million in ARR. In 2024, Rubrik rang the bell on the New York Stock Exchange, reaching a market capitalization of around $17 billion. Goel had helped build a company from a startup into a public one - and along the way, he lived through the part of finance almost nobody outside it ever sees.

"Accounting is one of the last major enterprise functions that still runs mostly on human labor."

Every month, the same grind. Reconciliations. Journal entries. Variance explanations. Late nights spent chasing numbers across spreadsheets and systems that were never designed to talk to each other. Goel watched capable people spend their most valuable hours on repetitive data manipulation instead of the judgment and analysis their companies actually needed from them.

He came to a blunt conclusion: accounting is one of the last major enterprise functions still running mostly on human labor. The tooling had barely changed in two decades. And for most of that time, there was no realistic alternative - the work required human reasoning that software simply could not do.

What changed was AI. "That was the moment I understood that AI was going to change who could reason about financial data, and at what scale," Goel has said. The systems had finally become capable enough to read messy financial context, apply company-specific rules, and produce work that a controller could trust. The question was no longer whether machines could help close the books. It was who would build the version accountants would actually rely on.

In 2024, Goel decided it would be him. He co-founded Maxima with Akshaya Srivatsa, formerly of Twitter, Bolt and Meta, and Jack Liao, formerly of Netflix, Bolt and Airbnb. The pitch was direct: an agentic AI platform built specifically for enterprise accounting, designed to co-prepare financial reports alongside the humans who own them.

"Accountants are drowning in repetitive, manual work that leaves little time for the judgment, analysis, and strategy their companies rely on them for."

Maxima's agents pull data across the finance stack. They flag anomalies, generate variance explanations, post journal entries with supporting documentation, reconcile to the general ledger and plug into ERP systems like NetSuite and SAP. The goal Goel and his co-founders describe is a model that is "accurate by default, compliant by design" - where the close is fast and auditable, and people spend their time reviewing and deciding rather than copying and pasting.

Investors moved quickly. Maxima raised $41 million in combined Seed and Series A funding, led by Redpoint Ventures, Kleiner Perkins and Audacious Ventures, with a Series A that closed in November 2025. The cap table reads like a who's who of finance operators - former BlackLine executives, the CFOs of Rubrik and Vanta, and NFL quarterback Joe Montana's Liquid 2 Ventures among the limited partners. Customers followed too: Rippling, Scale AI, SpotOn, Glean, Pressed Juicery and Bilt.

Early results give the pitch teeth. Maxima says deployments have delivered up to 80% faster closes and automated as much as 95% of manual tasks, with some teams saving as many as 60 hours per employee every month. For anyone who has ever worked a month-end close, those are not abstract numbers. They are weekends.

What makes Goel distinctive is not that he spotted an AI opportunity. Plenty of founders have. It is that he spent two decades living inside the exact problem he is now trying to solve. He audited the books, he took companies public, and he ran finance through hypergrowth. Maxima is, in a real sense, the product he wished he'd had.

He talks about the work in terms that are unusual for a Silicon Valley CEO. His LinkedIn headline describes him as a "Karma Yogi in training." He credits three traits for whatever success he has had: a hands-on approach, a high pain threshold that treats hard problems as expected rather than as signals of failure, and a stubborn long-term optimism. "Money and recognition should not be the primary motivation," he says. "It's about building legendary organizations and impacting lives."

Ask him what skills will matter as AI reshapes his industry, and he doesn't reach for anything technical. "The skills that will matter most are judgment and influence," he says. It is a fitting answer from someone who has bet his company on a simple idea: let the machines handle the mechanical work, and let people do the part only people can.