Frances Schwiep is a former data scientist who deliberately transitioned into venture capital and now uses her technical background to take an analytical approach to evaluating founders and technologies in applied AI, DataOps, and B2B infrastructure. She was brought into Two Sigma Ventures in 2018 specifically to build their seed program and has become a go-to expert commentator on technical market segments like fintech infrastructure and AI evaluation, often appearing in mainstream investor media to discuss AI opportunities for both startup and public-market audiences.

• Focused on the rapid adoption of artificial intelligence and the critical need for safety testing at scale. This extends to a strong appreciation for prompt engineering and making complex AI accessible, pointing founders toward interactive visual tools like the Tensorflow Playground to help explain neural networks to their non technical team members.
• Interest in robust data infrastructure and analytics engineering, particularly tools that solve messy data quality problems in backend pipelines. Specific examples include praising Anomalo for fixing unexpected data breakages and celebrating Flatfile for creating streamlined and elegant solutions for data exchange.
• Fascinated by massive shifts in financial technology, especially how moving money through new systems increases consumer access to financing. There is a heavy emphasis on buy now pay later solutions unlocking digital commerce in emerging markets, with repeated mentions of Nelo as a prime example of a company providing transparent products that tightly bind to market needs in Latin America.
• Attracted to developer tools and platforms that bridge the digital and physical worlds through location technology. A notable example is backing Radar, which gives engineering teams the infrastructure to build location based experiences specifically geared toward improving logistics and payments.