Frazer Anderson

Frazer Anderson is an early-stage investor in AI and fintech companies based in Cambridge, Massachusetts. He began his career on the public-markets and asset-management side of finance, with early roles as a hedge-fund research intern at SCS Financial and a trading & research intern at Eaton Vance, before working as a data scientist and public-markets investor. He transitioned into venture capital in 2018, joining Vestigo Ventures — a Cambridge-based, fintech-focused early-stage firm founded in 2016 (co-founded by Ian Sheridan, Mark Casady, and Dave Blundin).

At Vestigo he progressed through Investment Analyst, Senior Associate, and Principal roles, and today he operates as a Managing Director investing across both Link Ventures and Vestigo Ventures, the closely affiliated Cambridge funds connected through Dave Blundin. His work centers on how machine learning and SaaS are reshaping financial services, and he has served as a board observer or close partner to numerous portfolio companies including Clerkie, FinQore (formerly SaaSWorks), Advocate Technologies, Knowbl, Acquire, Railz.ai, Retirable, and Hatz.ai.

Anderson holds both a Bachelor of Arts and a Master's degree in Economics/econometrics from McGill University. Beyond his fund work, he has been active across the startup community as an advisor to DVx Ventures, the Holt Accelerator, and Techstars, and as a mentor with Front Row Ventures and Hack.Diversity. He is a recurring fintech speaker, appearing at events such as the MIT FinTech Conference and the Imagination in Action summit.

• Stage: Seed and Series A, with initial checks at company formation through early growth.
• Sectors: Fintech and financial-services SaaS, plus AI/ML-driven automation, infrastructure, and analytics — with particular interest in the "API-ification" of financial services and platform/network-effect plays in private markets.
• What makes him say yes — the team first: "Early-stage investing is 100% about the team." He treats diligence as a way to reveal founder perception, persistence, and networking ability.
• AI in finance, with guardrails: He flags visibility and accuracy as the key adoption barriers for AI in finance — "The stakes in financial services are too high to have hallucinations" — and looks for products that give enterprises transparency into their decision-making.
• Founder profile: Entrepreneurs building "network-effects businesses in financial services" — often those automating manual workflows (e.g., the CFO/office-of-finance stack) or embedding analytics into financial operations.