Maximor $9M Seed to Drive AI Agent Growth

This week, Maximor announced a $9 million seed round to expand its finance automation platform — AI agents that plug into ERPs, payroll, billing, and bank systems to take on the repetitive accounting work and produce audit-ready outputs by default.

The round was led by Foundation Capital, with participation from Gaia Ventures (founded by SAP’s former chief strategy officer) and Boldcap. Notable angels include Aravind Srinivas (CEO of Perplexity), Tien Tzuo (CEO of Zuora), and CFOs/finance leaders from Ramp, Gusto, Opendoor, MongoDB, and the Big Four.

Finance leaders today face a paradox: they’re expected to steer strategy while their teams are buried in reconciliations, close checklists, and fragmented systems. The talent pipeline of accountants is also at a breaking point—three-quarters of accountants are expected to retire by 2030, while fewer graduates enter the field. That leaves companies stretched thin, raising the odds of costly errors and slowing down audits.

Across its customer base, Maximor claims to deliver three strategic outcomes: ~40% more team capacity, freeing finance staff to focus on strategy, not mechanics, Cleaner audits and streamlined closes, reducing compliance and valuation risk; and Unified, cross-silo visibility across existing finance and operational systems – so finance leaders can make faster, better-informed decisions with AI’s reasoning capabilities.

Proptech business Rently, with global operations across three countries, cut its month-end close from eight days to four within the first month of using Maximor, while avoiding two incremental accounting hires for repetitive work.  While, multi-billion-dollar AUM registered investment advisor business Invst automated reconciliations, allocations, and reporting, unlocking advisor-level profitability insights that were previously impractical.

Maximor is a financial command center that connects both financial and operational systems—ERPs like NetSuite and Intacct, banks, payroll, CRMs, and SaaS data—into a single reconciled source of truth.

On this unified data foundation, Maximor deploys specialized finance agents across revenue, cash, close, and reporting. Powered by its proprietary Audit-Ready Agent architecture, these agents generate workpapers, reviewer notes, and audit trails by default. The result: automation that is natively explainable, compliant, secure and enterprise-grade—tailored to the exacting needs of the CFO’s office.

“Finance should be the growth engine of a company, not a cost center,” said Ramnandan Krishnamurthy, CEO and co-founder of Maximor. “Capital is how decisions are made. Our job is to automate the mechanics and unify the data so finance leaders can spend time guiding the business. We measure success by customer outcomes, not seats purchased.”

Co-founders Krishnamurthy and Ajay Krishna Amudan saw the problem firsthand while leading Microsoft’s digital transformation group and working with global corporate finance teams: despite millions poured into ERPs and accounting tools, technical limitations forced critical workflows back into spreadsheets—creating endless manual work, slow closes, and costly errors.

“What attracted us to Maximor is their seamless integration to any ERP system. Instead of chasing features like many ERP startups, Maximor uses AI to tackle real challenges faced by finance leaders at global companies,” said Ashu Garg, general partner at Foundation Capital. “Unlike solutions with disconnected AI tools, Maximor has built a unified platform where specialized AI agents work together seamlessly. For mid-market and enterprise finance teams, it bridges the gap between their current systems and advanced AI, enabling meaningful transformation without disruption.”

Maximor is expanding in three directions: deeper automation across the breadth of repetitive accounting flows, vertical modules tailored for specific sectors with high urgency to adopt, and strategic finance insights that move teams from reactive reporting to proactive scenario planning and decision support.



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