Feathery, an AI operating system for financial services, has raised $30 million in total funding, including a Series A round led by Portage Ventures. The company serves more than 300 firms across insurance and wealth management, automating workflows that handle tens of millions of monthly submissions.
The funding round also saw participation from Index Ventures, Allstate Strategic Ventures, Clocktower Ventures, Erie Strategic Ventures, and Bain Capital Ventures. Feathery previously raised a $4.5 million seed round in 2021, the same year co-founders Zack Khan and Peter Dun launched the company.
Automating wealth management workflows
The platform targets repetitive, high-stakes processes for registered investment advisors (RIAs) and broker/dealers. It automates client onboarding, proposal generation, mergers and acquisitions, advisor transitions, account opening, and account maintenance. The goal is to collect and structure client information, synchronize systems of record, and normalize data across platforms.
Clients and scale
Feathery's wealth management clients include Sequoia Financial, Allworth Financial, and Mission Wealth. The company processes tens of millions of submissions each month, indicating heavy adoption among its 300-plus firm customer base.
The AI decisioning engine
Beyond workflow automation, Feathery's AI decisioning system analyzes business data, surfaces insights and recommendations, and feeds the analysis back into operations. This is a direct application of AI for Finance, turning raw data into actionable guidance. The system learns from the company's data network across clients, aiming to help firms make faster, more accurate decisions.
"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.
Why this matters for management
For managers in wealth management and insurance, tools like Feathery's show how AI for Management can reduce administrative friction and accelerate revenue-generating activities. Automating advisor transitions and account operations frees up teams to focus on client relationships and strategic growth, rather than manual data entry. As AI decisioning matures, managers who adopt these systems can expect more consistent compliance, fewer errors, and faster turnaround on proposals and onboarding.
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