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Jeremy Kaufmann
Partner at Scale Venture Partners
Jeremy Kaufmann is a Board Observer and Series A Investor at Regie.ai, focusing on investments that integrate machine intelligence into business and vertical software. He has been instrumental in Regie.ai's growth, which specializes in generative AI for sales prospecting. His investment portfolio includes notable companies such as Spot AI and TechSee, among others.123
Professional Background
Before joining Scale Venture Partners, where he currently works, Kaufmann was involved in sales strategy and business operations at Salesforce. His role there included leading initiatives related to sales operations and partnerships. Additionally, he has experience as a data scientist at Analysis Group, where his work centered on health economics and healthcare outcomes.12
Kaufmann began his career as a policy researcher at the Federal Reserve Bank of New York, focusing on consumer credit and education policy. He holds a B.A. in Economics from Dartmouth College, graduating summa cum laude.123
Personal Interests
Outside of his professional endeavors, Kaufmann enjoys outdoor activities such as cycling and tennis, reflecting his passion for adventure.12
Highlights
A big thank you to Joon Sung Park for joining the Scale Venture Partners New Ideas in AI dinner series with a fascinating talk on what it means to model human behavior with generative agents.
Lots of interesting takeaways on memory tradeoffs and some really thoughtful answers on why ordering pizza might not be the best use case for AI agents. Take a listen!
Today, my colleagues Max Abram, Maggie Basta, Rory O'Driscoll and I are excited to launch the Scale Generative AI Index, a list of nearly 200 companies building on top of foundation models, creating generative products with proprietary models, or building MLOps/Infra products important to this ecosystem. This release follows our blogpost earlier this month describing why we believe foundation models are the new public cloud.
While Generative AI is certainly the hot topic of the moment and market maps abound, we believe that ours is the most comprehensive and it includes company description, investors, funding amounts, and headcount.
Most importantly, we want to cut through the hype: we could all use a bit less focus on the pretty pictures and a more thorough discussion of the businesses that are automating the repetitive tasks that many humans loathe -- writing sales emails, finding a document without knowing the right keywords, or manually rotoscoping objects from video frames.
We’re paying close attention to the “border war” that is brewing between the foundation model providers and the companies building on top of these models and also thinking about the extent to which fine-tuning provides a credible level of defensibility as foundation models improve over time. Further thoughts are here: https://lnkd.in/g9X-nntA
