AI-native accounting and ERP startup Rillet has secured $100 million in a Series C funding round at a $1 billion valuation, bringing its total funding past $200 million within eighteen months of launch.
The round was led by ICONIQ, with continued participation from existing institutional investors Sequoia Capital, Andreessen Horowitz (a16z), and Oak HC/FT. Several new venture firms also joined the syndicate, including Bain Capital Ventures, Battery Ventures, FirstMark, Scale Venture Partners, and Creandum.

Modernizing Core Financial Workflows
Rillet builds an AI-native general ledger and enterprise resource planning (ERP) platform designed specifically for finance and accounting teams. The software targets mid-market and scaling software enterprises, providing an alternative to legacy ERP stacks like NetSuite.
The platform embeds machine learning models directly into transaction processing layers to automate routine workflows:
- Automated Reconciliation: The system matches bank feeds, processor transactions, and invoice line items against ledger records without manual rules maintenance.
- Intelligent Journal Entries: Transaction descriptions and contract metadata are parsed to generate GAAP-compliant double-entry accounting records automatically.
- Accelerated Month-End Close: By continuously syncing and reconciling revenue streams, multi-currency assets, and vendor expenses, customers report shortening close cycles from weeks to several days.
Market Dynamics in Enterprise AI Software
Enterprise accounting and back-office financial infrastructure have become a focal point for venture deployment as enterprise buyers seek measurable ROI from AI adoption. Rillet's rapid capital cadence—raising Series A, B, and C rounds in close succession—reflects institutional investor conviction in vertical AI applications that can displace entrenched legacy enterprise software suites.
The company plans to deploy the fresh capital toward expanding core engineering teams, broadening multi-entity consolidation capabilities, and integrating with global banking networks.



