Finpilot Raises $10M Series A - The SaaS News
Seattle-based Finpilot has closed a $10M Series A led by Lobby Capital to scale AI agents that automate administrative workflows for institutional investors such as pension funds and foundations. Madrona, which led the company's $4M seed round in 2024, also participated, bringing total funding to approximately $14.5M. The capital will fund headcount growth across product, sales, marketing, and client success.

Key facts
- Raised $10M in a Series A round announced November 4, 2026
- Round led by Lobby Capital; Madrona also participated
- Total funding reaches approximately $14.5M since founding in 2023
- Madrona previously led a $4M seed round in 2024
- Co-founded by CEO Lakshay Chauhan and Executive Chairman John Alberg
- Platform automates administrative workflows for institutional investors including pension funds, hospitals, and foundations
- Hiring planned in product, marketing, sales, client success, and business development
Finpilot, a Seattle-based startup founded in 2023, has secured $10 million in a Series A funding round to advance its AI agent platform for institutional investors. The round was led by Bay Area venture firm Lobby Capital, with continued backing from Madrona — the same firm that led Finpilot's $4 million seed round in 2024. Combined, the raises bring Finpilot's total capital to approximately $14.5 million.
The company, co-founded by CEO Lakshay Chauhan and Executive Chairman John Alberg, develops AI-powered agents designed to relieve investment teams at pension funds, hospitals, and foundations of time-consuming administrative burdens. According to the company, its platform integrates data from disparate sources — including portfolio management systems and unstructured documents — enabling investment professionals to redirect effort from manual data entry toward higher-order decision-making.
Finpilot plans to deploy the new capital across product development and commercial expansion. Hiring is expected across product, marketing, client success, sales, and business development functions in the coming months.
Institutional investors manage vast operational workloads underpinned by manual data handling across fragmented systems. Finpilot's bet is that AI agents can absorb that grunt work, freeing investment teams for judgment-intensive tasks — a productivity thesis gaining traction across back- and middle-office financial operations.
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