Libbie Frost
Investor / Seed/Early
New York, US

About Libbie
Libbie Frost is an investor in the New York office where she focuses on vertical software, fintech, and healthcare.
Before joining Bessemer, Libbie worked at Accel on their Growth Team in Palo Alto and Insight Partners on their Diligence and Growth Strategy Team in New York City.
Libbie graduated magna cum laude from the University of Notre Dame where she earned her BBA in Finance and BA in Industrial Design. While in school, she helped launch and grow the Notre Dame Venture Capital Club and was an alum of Girls Who Invest. Libbie has studied the Italian Renaissance in Florence, Italy, and in her free time she enjoys painting murals, running with friends, and reading a nice biography.
AI
Consumer
Developer
Fintech
Healthcare
Vertical
Marketplaces
Physical AI & Robotics
Latest News & Research
11 Total Posts
Article
Owning the outcome: Bessemer's AI-Native Services evaluation framework
How Bessemer evaluates which services markets are most ripe for AI disruption.

Article
Legora: The fastest enterprise business to reach $100M ARR
Surpassing Centaur status in just 18 months, Legora has become the definitive leader in vertical AI software.

Article
Creative conviction in the AI era
AI is reshaping design roles and platforms. In a world where creation is increasingly commoditized, creative conviction will be the winning edge for startups and designers.

News
Building Legora’s collaborative AI platform for legal workflow automation
Bessemer Venture Partners leads Legora’s $150M Series C to become the global operating system for legal work.

Article
Developer laws in the AI era
AI developer platforms are rewriting the rules of pricing, design, and defensibility in the age of agentic development. Here are eight (work in progress) laws for founders building for humans and agents.

News
Recall.ai: unlocking conversation and meeting data to power AI applications and agents
Bessemer Venture Partners leads Recall.ai’s $38M Series B to help teams capture and leverage conversational data at scale.








