Krishna Gade is the co-founder and CEO of Fiddler AI, a Palo Alto-based enterprise AI observability and control platform that has raised over $112 million in funding. Before founding Fiddler in 2018, he built data infrastructure at scale at Microsoft/Bing, Twitter, Pinterest, and Facebook - where he led the team that created the industry's first large-scale AI explainability feature, 'Why am I seeing this?' in News Feed. Fiddler AI sits at the intersection of AI transparency, model monitoring, and governance, serving Fortune 500 companies, the US Navy, and organizations that need to trust the decisions their AI systems make.
Domino Data Lab makes an enterprise AI and MLOps platform that helps large, regulated companies build, deploy, monitor, and govern data science and machine learning models across hybrid and multi-cloud environments. Founded in 2013 by three former Bridgewater Associates technologists, Domino is used by more than 20% of the Fortune 100, including Allstate, Bristol Myers Squibb, Bayer, Lockheed Martin, and Dell.
TrueFoundry is a San Francisco-based enterprise agentic AI platform that helps Fortune 1000 companies deploy, govern, and scale AI and machine learning applications. Founded in 2021 by former Meta engineers from IIT Kharagpur, it provides an end-to-end MLOps/LLMOps platform covering model deployment, AI gateway, model registry, prompt lifecycle management, and observability - all on the customer's own infrastructure with SOC 2, HIPAA, and GDPR compliance. With $21.3M in total funding led by Intel Capital and Peak XV, TrueFoundry's platform manages 1,000+ clusters, processes 10+ billion monthly API requests, and delivers 40-50% infrastructure cost reductions for customers including Siemens Healthineers, ResMed, NVIDIA, and Automation Anywhere.
Gabriel Bayomi Tinoco Kalejaiye is a Brazilian-born engineer and entrepreneur who co-founded Openlayer, a San Francisco-based AI governance and observability platform. After earning his MS in Computer Science from Carnegie Mellon and working as a Machine Learning Engineer at Apple - where he contributed to both Siri and the secretive Vision Pro project - he left with two colleagues to solve the problem that haunted every AI team: models that look great in testing but fail in the real world. Openlayer provides enterprises with evaluation, monitoring, and compliance tooling across the full AI lifecycle, from prototype to production. The company raised a $14.5M Series A in May 2025, grew nearly 5x in 2024, and is now a recognized vendor in Gartner's 2026 Market Guide for AI Evaluation and Observability Platforms.
Josh Tobin is a machine learning infrastructure pioneer who spent three years as a research scientist at OpenAI - contributing to the famous Rubik's cube robot hand - before earning his PhD from UC Berkeley under Pieter Abbeel. He co-founded Gantry, an ML monitoring and continual learning startup that raised $28.3M, and created Full Stack Deep Learning, the first course focused on production ML engineering. His domain randomization technique, which transfers neural networks trained in simulation to the real world, has been cited over 600 times and reshaped how robotics teams build perception systems. He runs a newsletter focused on ML infrastructure and ops.