Model ML closed $75 million in Series A funding—one of the largest fintech Series A rounds in history—addressing the document creation bottleneck that consumes thousands of hours weekly at major financial institutions while introducing costly errors into high-stakes client deliverables.

The financial services industry still relies on manual processes for critical documents like pitch decks, investment memos, and due diligence reports despite widespread AI adoption elsewhere. This inefficiency strains deal teams across all seniority levels and creates reputational risk when human errors slip into client-facing materials worth millions of dollars.

EvoluteIQ secured $53 million in growth investment led by Baird Capital, marking a critical inflection point for enterprise agentic automation as Fortune 500 companies move beyond fragmented point solutions toward comprehensive workflow orchestration.

The funding validates a fundamental shift in enterprise automation strategy. While traditional approaches layer disconnected RPA bots and isolated AI tools across business processes, EvoluteIQ’s approach addresses the core bottleneck: enterprises need unified platforms that orchestrate end-to-end business workflows, not collections of tactical automation tools.