Professional Overview
Devvret Rishi is the Co-founder and Chief Executive Officer (CEO) of Predibase, a specialized platform provider focused on enabling enterprises to train, fine-tune, and deploy open-source artificial intelligence (AI) and machine learning (ML) models efficiently. He assumed the CEO role in October 2023, transitioning from Chief Product Officer to CEO prior to the company's acquisition. Predibase operates from the San Francisco Bay Area and has a current workforce of approximately 25 employees.
Educational Background
Mr. Rishi holds a Master’s degree in Computer Science from the School of Engineering and Applied Sciences (SEAS) at Harvard University (2015–2016), where his coursework concentrated deeply on Artificial Intelligence and Machine Learning. Additionally, he completed an undergraduate education with a concentration in Computer Science and a secondary focus in Statistics, graduating with honors in 2016.
Career and Expertise
Before founding Predibase in 2021, Devvret Rishi was a Machine Learning (ML) Product Leader at Google, contributing to major products including Firebase and Google Research. His professional expertise spans building large-scale ML infrastructure and serving systems, which underpins his capability to lead Predibase in developing a low-code declarative machine learning platform designed to simplify model building, training, and deployment for enterprise AI teams.
Predibase and Company Mission
Predibase's core technology centers on democratizing deep learning by providing a high-performance, low-code platform that expedites the journey from AI concept to production-ready models. The company particularly focuses on reducing the complexity and cost associated with deploying AI at scale, enabling organizations to overcome common challenges in moving beyond proof-of-concept AI projects.
Mr. Rishi has authored several insightful articles and thought leadership pieces covering topics such as:
- “What is post-training?” (Apr 2025) — Discussing the evolution of model training.
- “The economics of open source LLMs” (Mar 2025) — Addressing the competitive advancement of open-source large language models.
- “Less Labeling, More Learning: The upcoming new era of fine-tuning with RFT” (Feb 2025) — Exploring innovations in model fine-tuning.
These contributions demonstrate his deep technical knowledge and focus on optimizing AI development workflows.
Company Performance and Strategic Developments
In June 2025, Predibase entered into an acquisition agreement with Rubrik, Inc. (NYSE: RBRK), a prominent cybersecurity and data management company. The acquisition deal is valued at over $100 million and aims to accelerate the adoption of agentic AI—intelligent AI agents capable of autonomous decision-making—across enterprises.
Rubrik intends to integrate Predibase’s platform to deliver:
- Access to a generative AI model and serving layer.
- Enhanced ability to process secure and governed data lakes.
- Reduced time and cost from AI pilot projects to production-scale deployments.
The transaction is positioned to radically simplify AI model and data workflows, improving accuracy while lowering costs for Rubrik’s enterprise customers. Mr. Rishi and the entire Predibase leadership team have joined Rubrik to advance this strategy. This strategic move was recognized industry-wide as a significant step in scaling AI agent development and adoption across the enterprise market.
Professional Network and Influence
- Devvret Rishi has a LinkedIn follower base of approximately 7,200 professionals.
- He maintains an active presence on social media and professional platforms, frequently engaging with AI communities and sharing industry insights.
- His leadership profile is backed by key venture capital investors such as Felicis and Greylock Partners.
Location
- Based in San Francisco, California, United States.
This profile emphasizes Devvret Rishi’s deep technical expertise, leadership in AI model infrastructure innovation, and strategic role in driving Predibase’s growth culminating in its acquisition by Rubrik. His educational foundation at Harvard and prior tenure at Google reinforce his credibility in AI product leadership and ML infrastructure, critical to understanding Predibase’s value proposition in the evolving enterprise AI landscape.
