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Davis Treybig
Partner at Innovation Endeavors
Davis Treybig is a Partner at Innovation Endeavors, an early-stage venture fund based in Palo Alto, California.1 He has been with the firm since May 2019, progressing through various roles including Associate, Senior Associate, Principal, and finally Partner in May 2023.1
Professional Experience
Treybig has a strong background in venture capital and technology:
- As a Partner at Innovation Endeavors, he has led seed investments in several unannounced companies, including ones focused on cloud video editing and AI agents for support engineering.1
- During his tenure as Principal and Senior Associate, he led investments in companies such as Earthly, Continual, Pyte, Tromzo, and Authomize.1
- Prior to joining Innovation Endeavors, Treybig worked at Google for nearly three years in various Product Manager roles, including work on Pixel software and Actions on Google.1
Education and Achievements
Treybig has an impressive educational background:
- He graduated from Duke University with a degree in Electrical and Computer Engineering and Computer Science, achieving a perfect 4.0 GPA and graduating #1 in the engineering school.1
- At Duke, he received the Walter J. Seeley Scholastic Award for the highest scholastic average across all subjects in the graduating engineering class.1
- He also earned the George Sherrerd III Memorial Award for his combination of scholastic achievement and significant service to the School of Engineering and the University.1
Areas of Interest
Based on his recent LinkedIn posts, Treybig shows a keen interest in:
- Generative AI and its impact on idea generation and validation2
- Enterprise decision-making engines3
- Foundation model applications and their complexity4
- Advancements in genomic medicine and gene therapies5
Davis Treybig's career trajectory and educational background demonstrate his expertise in technology and venture capital, particularly in emerging fields like AI and biotechnology.
Highlights
Extremely excited to announce that we have led the Series B into Eppo.
Eppo is a modern experimentation platform that brings best practices from the leading experimentation engines at companies like Netflix & Airbnb to everyone, ultimately enabling companies to make well-informed decisions faster.
Companies like Perplexity, Coinbase, Descript, Twitch, Draft Kings, & so many more use Eppo to optimize every facet of their business - from product launches to lifecycle marketing campaigns to large language models.
Commensurate with how we have seen data storage consolidate into a centralized data warehouse layer in most companies, I expect that experimentation is soon to go through a similar evolution.
Experimentation has traditionally been a highly fragmented market, with completely different tools used for performance marketing experimentation (“channel incrementality”), offline/online experiments (e.g. Applied Predictive Technologies), ML experiments (e.g. MLFlow), personalization, and product/growth experiments.
Yet, at their core, these systems are all doing the same things, and so much of the value to be gained comes from unifying these tests end to end - such as connecting your advertising experiments all the way through product activation. The opportunity for Eppo is to be the central statistics engine that powers your entire organization, bringing experimental rigor into as many decisions as possible.
The importance of this unified statistical engine will go up tremendously as all products that we interact with become AI-enabled, probabilistic systems, where evaluation becomes the primary bottleneck. One of the only reliable ways to evaluate such systems at scale is to experiment.
I couldn't be more excited to work with Chetan Sharma, who I have had the pleasure of knowing since he started Eppo almost 4 years ago.
More of my thoughts & background on the investment below.
A defining trait in design tools is whether the design paradigm is destructive or non-destructive - essentially, are only the results of edits stored, or does the system store the sequence of edits themselves?
This post explores how non-destructivity is an interesting wedge capability in design tool startups that is increasingly possible thanks to advances in computing infrastructure & AI.
I highlight some cool design startups doing this like nTop Womp and Modyfi and explore how non-destructivity also allows for many interesting second-order benefits in such tools, such as community building.
