TIFIN operates an AI agent platform designed to integrate into existing wealth management and asset management infrastructure without replacement. The tech stack—Python, FastAPI, React, PostgreSQL, AWS, SageMaker, Snowflake—supports multi-agent orchestration (advisor copilot is a live project) paired with data infrastructure for client analytics. Hiring velocity is accelerating across engineering, data, and sales with leadership-level positions, signaling expansion from platform development into enterprise go-to-market.
Notable leadership hires: Sales Head
TIFIN is a fintech platform built on agentic AI workflows for the wealth, asset management, and insurance sectors. Founded in 2018 and headquartered in Boulder, the company operates TIFIN.AI (an agent-based layer sitting above existing core systems) alongside operating companies like TIFIN @Work, TIFIN AMP, and TIFIN Give, each addressing specific wealth ecosystem workflows. Live deployments include advisor copilot and client retention automation. The firm has previously incubated companies acquired by major players and counts J.P. Morgan, Morningstar, Hamilton Lane, Franklin Templeton, Motive Partners, and Broadridge as backers. Current operational pain points center on scaling enterprise sales, improving advisor and client engagement, and addressing regulatory complexity in new markets.
Python, FastAPI, Django, Flask, React, Flutter, PostgreSQL, MongoDB, Redis, AWS, SageMaker, Snowflake, and Tableau. The stack emphasizes multi-agent orchestration (Pydantic AI) and modern API patterns (GraphQL, OAuth, JWT).
Live projects include advisor copilot (multi-agent systems), workflow automation, asset consolidation, client churn prevention, and enterprise sales scaling. Current focus is expanding plan sponsor engagement and refining go-to-market strategy.
TIFIN's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.