Financial services AI platform Feathery has raised $30 million in total funding, including a Series A round, to expand its operating and decisioning system used by more than 300 firms. The investment, backed by Portage Ventures, Index Ventures, Allstate Strategic Ventures, Clocktower Ventures, Erie Strategic Ventures, and Bain Capital Ventures, signals growing demand for AI tools that tackle complex operational workflows in regulated industries.
Feathery's platform was purpose-built for financial services enterprises, a sector increasingly turning to AI for Finance to modernize client onboarding, account opening, and document processing. It integrates with existing systems to automate data collection and synchronize major systems of record. The company processes tens of millions of monthly submissions across workflows like proposal generation, M&A transitions, and account maintenance.
"With this funding, we're doubling down on products that tap our data network across clients to help firms make faster, more accurate decisions and move data seamlessly across their workflows," said Zack Khan, co-founder of Feathery.
How the decisioning engine feeds automation
Feathery's AI Operating System collects and structures client information, normalizes data, and syncs it across all surfaces. Its AI Decisioning System then analyzes business data, surfaces insights and recommendations, and feeds those learnings back into workflows. This creates a cycle where every automated task generates data that improves future decisions.
"Every workflow Feathery powers generates data that sharpens decision-making and automates more of the business, creating a compounding advantage that deepens over time," said Stephanie Choo, General Partner and Co-Head of Portage Ventures. "We're proud to back the Feathery team as they define this category."
Peter Dun, co-founder and CEO, said the platform turns growing client data and expectations into opportunities for firms to "sharpen their competitive edge, create personalized client experiences and scale operations."
Why this matters for operations leaders
For operations teams in financial services, Feathery's model demonstrates how AI for Operations can move beyond simple task automation to continuous process improvement. When data normalization and decision support are embedded into daily workflows, manual handoffs shrink, compliance checks become faster, and client-facing teams get the structured information they need without rekeying data. The funding round suggests that enterprises are willing to pay for AI that reduces operational drag, not just for standalone tools.
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