Maxima, a fast-growing AI accounting startup, has raised $41 million in new funding from investors including Redpoint Ventures and Kleiner Perkins, pushing its valuation to $143 million just one year after launch. The round also attracted support from Audacious Ventures, Joe Montana (NFL legend and Liquid 2 Managing Partner), and other prominent backers—highlighting surging investor demand for AI-driven enterprise software.
Founded in San Mateo, California, Maxima aims to reinvent corporate accounting by automating processes such as reconciliation and journal entries more effectively than legacy incumbents SAP and Blackline.
A new model for autonomous accounting
Maxima CEO and co-founder Yogi Goel says the shift is fundamental:
“Legacy providers assumed humans would do the work and software would log it for auditors. We’re starting from scratch: agents do the work, and humans review it.”
Although industry-wide skepticism exists—especially after an MIT study found that 95% of AI pilot projects never progress beyond testing—Goel says Maxima is proving otherwise:
“We’ve processed millions of transactions for our customers and not a single error.”
Real-world gains for enterprise users
Joshua Waldron, Head of Accounting at Scale AI, told Reuters that Maxima has reduced flux analysis timelines from days to mere hours. Other major customers include SpotOn (fintech) and Rippling (HR tech), reinforcing Maxima’s traction across high-growth enterprise sectors.
Fueling product expansion and team growth
Maxima plans to deploy the new capital to accelerate product development and expand its 31-person team. The company was co-founded by former Twitter engineer Akshaya Srivatsa and former Netflix engineer Jack Liao, bringing deep AI and infrastructure experience to the platform.
With enterprise AI adoption shifting from experimentation to real operational automation, Maxima’s momentum signals a broader transformation underway in corporate finance—one where autonomous agents, rather than humans, may soon handle the bulk of accounting workflows.