Maxima, an agentic AI platform for enterprise accounting automation, has announced it processed over $255 billion in accounting volume across 250 million transactions with 100% accuracy since its public launch in late 2025.
This milestone indicates a shift in enterprise accounting, where AI agents are performing core preparation work with precision, addressing a long-standing challenge in automating complex, policy-driven, and evidence-heavy accounting tasks.
For decades, enterprise accounting has resisted deep automation, relying on manual data extraction, spreadsheets, and human reconciliation for monthly book closures across multiple legal entities, currencies, and accounting books under strict audit and regulatory scrutiny.
Since 2025, Maxima customers, including Rippling, Scale AI, and SpotOn, have transitioned from fragmented, manual models to an end-to-end automation approach, where AI continuously handles accounting preparation with full auditability. These deployments support complex environments with varied entities, currencies, accounting policies, and rigorous internal control requirements.
Yogi Goel, CEO of Maxima, stated, “Accounting teams are not slow because they lack skill or discipline. They’re slow because they’re worn down by having to do the heavy lifting themselves. Preparation work is scattered across systems and compressed into intense month-end spikes, leading to long hours and burnout. We built Maxima to take on that preparation work directly and continuously, so accountants can focus on review, control, and judgment.”
Unlike legacy accounting tools designed merely to log human-prepared work, Maxima’s platform significantly increased automation rates. Throughout 2025, customers saw a 267% increase in automated journal entries and 1,850% growth in active users. These improvements led to up to 80% reductions in close cycle time, automation of up to 95% of repetitive preparation work, faster reconciliations, and full auditability.
At Rippling, Maxima automated significant portions of cash and bank ledger accounting across dozens of entities, saving the accounting team 700 hours monthly. This allowed for faster closes without increasing headcount for tasks that now run continuously.
SpotOn, a payments and software company, replaced spreadsheet-driven reconciliations with continuous, transaction-level automation using Maxima. This reduced month-end effort by a double-digit percentage, enhanced controls and audit readiness, and shifted team focus to higher-value analysis.
Global SaaS company Gorgias shortened its close by seven days through the automation of cash and flux workflows. This provided leadership with earlier financial insights, avoided additional headcount, and reduced costs by approximately $60,000 annually, even as the business scaled sixfold.
Josh Waldron, CAO of Scale AI, noted, “The fact that we consolidated more than ten disparate data sources into a single, continuous automated reconciliation process is something we could not have achieved without Maxima. We’re closing two to three days faster with over 98 percent automation. It’s the closest thing to an easy button I’ve ever seen in accounting.”
In 2025, Maxima released over 200 product updates and expanded its platform with enterprise-grade controls and new agentic capabilities: the Close Checklist Agent, Flux Analysis Agent, and Reconciliation Rule Agent. These agents automate checklist tasks, analyze transaction-level anomalies, and convert plain-language instructions into reconciliation logic.
Founded in mid-2024 and launched in late 2025, Maxima’s platform quickly delivered productivity gains exceeding initial expectations across industries. The 2025 results suggest a new accounting operating model where AI agents continuously handle preparation, enabling finance teams to focus on strategic review and analysis for faster, more reliable closes.
Maxima, which has raised $41 million in funding from investors including Redpoint Ventures, Kleiner Perkins, and Audacious Ventures, was recognized by Redpoint in its inaugural AI64 list as a top company shaping the AI application layer. Its platform is purpose-built for enterprise accounting teams to achieve SOX-ready, real-time closes by automating workflows across the record-to-report operations without replacing existing ERPs.
