Maximor raises $9M to remove finance drudgery with audit-ready AI agents
Maximor closed a $9 million seed round to automate the work that slows down finance teams-reconciliations, data shuffles, and spreadsheet patchwork. The round was led by Foundation Capital, with participation from Gaia Ventures and Boldcap, plus angels including Perplexity CEO Aravind Srinivas, Zuora CEO Tien Tzuo, and finance leaders from Ramp, Gusto, and MongoDB.
The pitch is straightforward: automation with evidence. CFOs get faster closes and cleaner reconciliations, backed by workpapers and audit trails generated by default.
Why it matters to finance leaders
Co-founders Ramnandan Krishnamurthy and Ajay Krishna Amudan saw global teams at Microsoft invest heavily in tools, only to fall back to spreadsheets for critical workflows. The gap isn't dashboards-it's execution.
Meanwhile, demand for strategic finance is rising as the talent pipeline thins, with many accountants retiring by 2030. Teams need more leverage without sacrificing control.
What Maximor actually does
Maximor isn't another ERP or prettier BI layer. It deploys specialized AI agents that plug into the systems you already run-ERP, payroll, banks-and handle repetitive tasks across revenue, cash, and reporting. Think NetSuite, Sage Intacct, payroll providers, and banking feeds.
These agents create a single reconciled source of truth and keep work moving in the background. The proprietary "Audit-Ready Agent" architecture generates workpapers, reviewer notes, and audit trails by default, so automation remains explainable and compliant.
For CFOs, that means speed without losing enterprise-grade controls or evidence.
Early results
Customers report an average 40% increase in capacity for strategic work. Proptech firm Rently cut its month-end close from eight days to four in its first month and avoided two accounting hires.
"The platform freed up nearly 50% of our team's capacity for strategic initiatives," said Rently CFO Dustin Neal. Foundation Capital's Ashu Garg added, "Instead of chasing features like many ERP startups, Maximor uses AI to tackle real challenges faced by finance leaders at global companies."
What this could change in your function
- Shorter close cycles with fewer manual reconciliations
- Cleaner audit evidence generated continuously, not at year-end
- Reduced reliance on spreadsheet glue between systems
- Less hiring pressure for repetitive tasks; more bandwidth for forecasting and pricing work
Due diligence checklist for CFOs evaluating AI agents
- Integrations: Coverage for ERP, payroll, banks, billing, and data warehouses
- Evidence: Automatic workpapers, reviewer notes, audit trails, and versioning
- Controls: Role-based approvals, segregation of duties, and change logs
- Security: Data residency options, encryption, SOC 2/ISO posture, and access scopes
- Exceptions: Clear workflows for breaks, thresholds, and variance routing
- ROI: Time-to-value on close acceleration and avoided hires; pricing tied to outcomes
What's next from Maximor
With the new funding, the company plans deeper automation, industry-specific modules, and a push into proactive financial planning. The goal: an always-on AI finance team that operates across the stack while preserving control, context, and evidence.
If you're mapping out your finance automation strategy, explore curated AI tools for finance to benchmark capabilities and gaps.
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