Maxima raises Seed & Series A to build the agentic AI platform for enterprise accounting

Today, I’m thrilled to announce our $41M Seed and Series A funding—led by Redpoint, Kleiner Perkins, and Audacious Ventures.

The accounting function is at a breaking point:

• The number of public companies restating financials due to accounting errors is at an all time high.

• The number of people entering the profession is at an all time low.

• Pressure from new accounting standards, fragmented systems, and rising business complexity is intensifying.

For the past decade, companies have tried every remedy: more tools, more checklists, more people. None have solved the core problem. Accounting does not need another workflow tracker or ERP replacement. It needs a new system of work that blends intelligence with action, operates alongside the system of record, and performs the work itself with accuracy, real time visibility, and complete auditability.

From human-prepared to agent-prepared

Maxima has been purpose-built for this moment: the world’s first agentic AI platform for enterprise accounting, where agents prepare and humans review. Imagine if every accountant had four tireless, reliable AI teammates:

• Two who handle the repetitive, day-to-day work—journal preparation, posting, reconciliations, and transaction matching—with precision and consistency.

• And two more who continuously monitor the books, detect anomalies, and explain movements before month-end ever arrives.

Such that when an accountant logs in, the work is prepared, validated and documented; their role is to review, approve and move forward.

Why us

Enterprise accounting is uniquely complex. When a company grows from one entity and one currency to twenty-five of each, the workload doesn’t increase 25×—it increases 625×. Only someone who has lived through that scale understands how quickly the process breaks.

I’ve spent two decades in this world: first as an auditor at EY, then serving the CFO office at Citigroup, and most recently leading finance and accounting at Rubrik, where I helped scale the company from $5 million ARR to a $15 billion NYSE IPO. I’ve seen how a single accounting error can ripple into material weaknesses, regulatory risk, and even market-cap impact.

Still, as deep as my experience was, I couldn’t build an AI solution alone—just as a Formula 1 driver can’t build the car. It takes world-class engineers to translate decades of domain expertise into intelligent systems. That’s where my co-founders come in.

• Jack Liao built the reconciliation and billing systems that power Netflix’s $32B annual revenue

• Akshaya Srivatsa built AI infrastructure at Facebook, serving over two billion monthly users.

They are joined by an engineering team that has shipped scalable, production grade systems at Robinhood, Apple, YouTube, and other industry leaders. This is the level of technical rigor required to solve one of the most complex problems in enterprise software.

Already at work

This isn’t just theory. Maxima is already deployed at some of the fastest growing and most demanding enterprises in the world, including Scale AI, Rippling, SpotOn, and Bilt Rewards. These companies manage millions of transactions each month, hundreds of entities, multiple currencies, and rigorous audit requirements. Even in these environments, Maxima delivers up to 80 percent faster closes, 95 percent automation of repetitive workflows, and 100 percent accuracy and auditability.

Looking ahead

Accounting deserves the same leap forward that engineering and go-to-market teams have already experienced—operating in real time, with data that’s always current. We call this real-time close: the ability for financials to update continuously, so decisions keep pace with the business.

Because no one entered accounting to spend weekends reconciling spreadsheets or tracing missing journal entries. The future we’re building is one where accounting happens continuously and accurately, powered by agents working alongside humans.