Breaking
Maxima raises $41M in Seed & Series AValuation ~$143M one year after foundingCustomers close books up to 80% fasterRippling, Scale AI, SpotOn & Bilt Rewards on board$400B+ in transaction volume processedBacked by Redpoint, Kleiner Perkins & Joe MontanaMax: a 24/7 accounting agent launches
Maxima company logo
Company Dossier · Agentic Accounting

Maxima

The AI agents that do the month-end close - so accountants log in to work that's already done.

A logo, a ledger, and a promise: the books will tie before you wake up. Maxima's whole company fits inside the fifth business day of every month, the week finance teams quietly dread.

$41M
Seed + Series A
~$143M
Valuation
$400B+
Volume Processed
~110
Employees
The Story

A startup that lives inside the worst week of the accounting month

Here is a fact about corporate finance that is both boring and, if you think about it for a second, slightly insane: at the end of every month, a team of highly trained accountants stops doing anything strategic and instead spends a week making sure that a very large number equals another very large number. This is the close. Maxima's bet is that most of it should be done by software before anyone shows up.

The month-end close is one of those rituals that everyone agrees is important and no one enjoys. Somebody has to take the cash that moved through the bank, the invoices that went out through the billing system, the payroll that ran, the leases that amortized, the commissions that accrued, and turn all of it into a set of journal entries that tie out to the penny. If they don't tie, someone stays late. If they do tie, someone still stays late, just to be sure. The reward for doing this perfectly is that you get to do it again next month.

Maxima, founded in 2024 and based in San Mateo, California, looked at this and asked a question that sounds obvious but turns out to be hard: what if the accountant's login screen showed work that was already finished? Not a checklist of tasks to do. Not a dashboard telling you who is behind. The actual entries, prepared and validated, waiting for a human to review and approve. The company's tagline is "agentic accounting automation, from record to report," which is a mouthful, but the idea underneath it is clean.

The distinction Maxima keeps drawing is between tracking the work and doing the work. There is an entire category of software - BlackLine, FloQast, Workiva - that helps finance teams manage the close. It routes approvals, logs who did what, tracks tasks against a calendar. This is useful, and also it is a to-do list. The actual accounting still happens in spreadsheets, at night, by a person. Maxima's pitch is that the person's most tedious hours are automatable, and that the right unit of automation is not a task tracker but an agent that prepares journal entries, reconciliations, and flux analysis on its own.

The product is called Max, and Maxima describes it as a 24/7 accounting agent. It connects to more than 100 financial systems - banks, billing platforms, payroll tools, data warehouses - pulls the data, applies the company's own accounting policies, and prepares the outputs. Cash coding, balance sheet reconciliations, prepaids and amortization, lease entries, commission accruals, equity journals, fixed-asset depreciation, allocations: the unglamorous machinery of a corporate ledger. When the accountants arrive, the core work is prepared and, in Maxima's phrasing, "accurate by default, compliant by design."

"We're closing two to three days faster with over 98% automation. It's the closest thing to an 'easy button' I've ever seen in accounting."Josh Waldron · Chief Accounting Officer, Scale AI

The crucial design decision - and the one that makes the whole thing sellable to a CFO - is that Maxima does not replace your ERP. It sits on top of it. If you run NetSuite, you keep running NetSuite. Maxima reads from your systems, prepares the work, and pushes audit-ready outputs back into the ERP once a human has reviewed and approved them. This is the quiet genius of the go-to-market: enterprise finance teams will change almost anything before they will rip out their system of record, so Maxima simply became the layer that makes the system of record less painful.

Then there is the part that actually matters when you are automating the general ledger, which is that the general ledger is the one place in a company where you genuinely cannot afford a machine to make something up. An AI that hallucinates a plausible-sounding paragraph is a nuisance. An AI that hallucinates a plausible-sounding journal entry is a restatement. So Maxima built for auditors first: every agent-prepared output carries its lineage, its inputs, and its approvals, producing what the company calls a "re-performable audit trail." An auditor can trace any number back to where it came from and reproduce it. Trust, here, is not a feature bolted on at the end. It is the spec.

The traction numbers, which one should always read with a raised eyebrow because they come from the company, are nonetheless striking. Maxima says its agents have touched over $400 billion in transaction volume, with more than 90% of manual work automated, closes up to 80% faster, and full auditability. The customer list is the more persuasive evidence: Rippling, Scale AI, SpotOn, and Bilt Rewards - companies with real transaction complexity and real accounting teams who presumably would not keep using the thing if it invented numbers.

It helps that the market Maxima is walking into is enormous and structurally stuck. Every company of any size runs a close, most of them monthly, many of them still stitched together across spreadsheets and email. The incumbents digitized the coordination of that work years ago and then, more or less, stopped - because coordinating a task and performing it are genuinely different engineering problems, and the second one had to wait for AI agents that could be trusted with numbers. Maxima's timing argument is that the second one is now possible, and that whoever automates the work itself, rather than the tracking of it, gets to redraw the category.

The founders are an odd and interesting trio to be building accounting software. Yogi Goel, the CEO, spent two decades in finance and accounting roles at EY, Citigroup, Barclays, and Rubrik - the person who actually knows the pain. Akshaya Srivatsa, the chief product officer, came from Twitter, Bolt, and Meta. Jack Liao, the CTO, came from Netflix, Bolt, and Airbnb. Between them is roughly 25 years of combined experience across audit, investment banking, and some of the most demanding consumer-scale engineering in the industry. It is a team you would assemble to build a viral app; they chose to build the thing that makes the fifth business day less miserable.

In November 2025 the company announced $41 million in combined Seed and Series A funding, led by Redpoint Ventures and Kleiner Perkins with Audacious Ventures, at a valuation of roughly $143 million - about a year after founding. The cap table reads like a finance-industry endorsement letter: former BlackLine executives Andres Botero and Eric Borrmann, Rubrik CFO Kiran Choudary, Vanta CFO David Eckstein, and, because venture capital contains multitudes, NFL Hall of Famer Joe Montana through Liquid 2 Ventures. When the people who built and ran the incumbent close-management category write checks into the company trying to replace it, that is a signal worth noticing.

What Maxima is really selling is time - specifically, the return of the accountant's judgment. The premise is that the close was never a people problem. It was a tooling problem that happened to fall on people. Move the preparation to agents, keep the review and the judgment with humans, and the finance team's worst week becomes a review instead of a fire drill. Whether Maxima proves that at scale is the open question. That the question is finally being asked in production, on real ledgers, at companies you have heard of, is the news.

agentic aimonth-end closeenterprise accountingauditable aifintechrecord-to-reportnetsuiteb2b saas
"Agentic accounting automation, from record to report."Maxima's one-line thesis
The Product

What Max actually does at 3 a.m.

Prepare

Journal Entries

Cash coding, payroll entries, prepaids and amortization, lease entries, commission accruals, equity journals, fixed-asset depreciation and allocations - drafted and validated against your policies.

Reconcile

Account Reconciliations

Balance-sheet reconciliations and card-spend matching tied directly back to your ERP, so the numbers agree before anyone opens a spreadsheet.

Explain

Flux & Variance Analysis

Automatic variance explanations and commentary across the record-to-report cycle, with anomaly detection flagging what deserves a human's second look.

Connect

100+ Integrations

ERP-agnostic connectivity to banks, billing tools, payroll platforms and data warehouses. Maxima reads from everything and pushes audit-ready output back.

Prove

Re-performable Audit Trail

Every output carries its lineage, inputs and approvals inside your controls, giving auditors a trail they can trace and reproduce.

Review

Close Checklist

A close checklist with dependencies, comments, direct NetSuite journal links and metrics tracking - the human's cockpit over the agent's work.

By The Numbers

What customers report

Faster close
80%
Manual work automated
90%+
Auditability
100%
Scale AI automation
98%

Figures reported by Maxima and its customers. Treat as approximate, self-reported outcomes.

The People

Three operators who chose the ledger

Yogi Goel

Co-founder & CEO

Two decades in finance and accounting at EY, Citigroup, Barclays and Rubrik. The founder who has actually lived the month-end close.

Akshaya Srivatsa

Co-founder & CPO

Product leader who came from Twitter, Bolt and Meta - consumer-scale product instincts pointed at enterprise finance.

Jack Liao

Co-founder & CTO

Engineering leader from Netflix, Bolt and Airbnb, building the reliability layer that lets agents touch a general ledger.

Timeline

From founding to Max

2024

Maxima is founded

Yogi Goel, Akshaya Srivatsa and Jack Liao start Maxima in the San Francisco Bay Area to bring agentic AI to enterprise accounting.

2025 · NOV

$41M Seed & Series A

Redpoint Ventures and Kleiner Perkins lead a $41M raise at a ~$143M valuation, with Rippling, Scale AI and SpotOn already using the platform.

2026 · JUN

Max launches

Maxima releases Max, a single 24/7 agent unifying transactional accounting, month-end workflows and close processing under one system.

Watch

Interviews & product demos

FAQ

The questions people ask

What does Maxima do?

Maxima is an AI-native accounting platform whose agents prepare month-end close work - journal entries, reconciliations and flux analysis - sitting on top of a company's existing ERP so accountants review work that's already done and audit-ready.

Who founded Maxima and when?

Maxima was founded in 2024 by Yogi Goel (CEO), Akshaya Srivatsa (CPO) and Jack Liao (CTO) - operators from Rubrik, Netflix, Meta and other companies.

How much funding has Maxima raised?

Maxima raised $41 million in combined Seed and Series A funding announced in November 2025, led by Redpoint Ventures and Kleiner Perkins, at a valuation of about $143 million.

Who uses Maxima?

Enterprise finance and accounting teams, including named customers Rippling, Scale AI, SpotOn and Bilt Rewards. The platform has processed over $400 billion in transaction volume.

Does Maxima replace my ERP like NetSuite?

No. Maxima is ERP-agnostic and sits on top of existing systems, pulling data from 100+ financial sources and pushing audit-ready outputs back into the ERP after review and approval.

Connect

Links & where to follow