Quantiphi is an AI-first digital engineering company founded in 2013 that helps enterprises turn data and machine learning into business outcomes. Working across cloud, data engineering and applied AI, it partners closely with Google Cloud, AWS, NVIDIA and others to build solutions for financial services, healthcare, insurance, retail and the public sector. The firm has grown to roughly 3,500+ employees across six continents and is known for its research-driven approach and its own products - Baioniq, Dociphi and Codeaira.
MarcoPolo is a Santa Clara, California company building governed AI infrastructure that connects agentic AI - Claude, Cursor, ChatGPT, Copilot or any MCP-enabled assistant - to a company's internal data across 50+ systems like Snowflake, PostgreSQL, MongoDB, S3, Salesforce and Jira. Instead of building fragile one-off integrations, teams route through a single secure Model Context Protocol connection with isolated execution, scoped credentials, encrypted secrets and smart context management, so AI can query, correlate and act on enterprise data without leaking it. The product pairs a governed Sandbox, a Cost Plane for token visibility and routing, and a unified Connections CLI. MarcoPolo is the pivot of Immersa, a RevOps data-intelligence startup that raised about $16M from investors including Mayfield's Navin Chaddha.
Continual is a San Francisco AI company building a platform for running business operations with agents. Founded by repeat ML founders Tristan Zajonc and Tyler Kohn, it launched in 2021 as a declarative machine-learning platform on the modern data stack, then pivoted into the AI copilot and agent era - letting teams connect their tools and data, automate workflows across agents and people, and turn repeatable processes into agent-powered applications. Backed by $18.5M+ from Innovation Endeavors, Amplify Partners and others.
Tryolabs is a Montevideo-born AI and machine learning consultancy that builds custom data and AI solutions for companies worldwide. Founded in 2009, it pairs deep engineering with applied research across computer vision, NLP, generative AI and MLOps, and is known for open-source tools like Norfair and Luminoth. Its clients range from MercadoLibre and LATAM Airlines to Halliburton, Allianz and UNICEF, spanning retail, insurance, manufacturing, telecom, oil and gas and transportation.
Qualified Health is a Palo Alto-based public benefit company building the enterprise AI operating layer for hospitals and health systems. Its platform unifies clinical, operational, and financial workflows under a single governed layer - integrating with core health-system data once, offering pre-validated AI solutions plus builder tools, and adding real-time governance, monitoring, and outcomes tracking. Founded in 2024 by physician-technologist Justin Norden and a team of former health-system executives and AI leaders, it helps systems move past pilots toward scaled, safe, measurable AI. The company has raised $155M to date, including a $125M Series B in March 2026, and serves more than 500,000 users across systems representing roughly 7% of U.S. hospital revenue.
Jason Risch is a Partner at Greylock Partners, one of Silicon Valley's most storied venture firms, where he bets early on founders reshaping cybersecurity and artificial intelligence. A Stanford math-and-statistics graduate who grew up tracking baseball statistics in Marin County, Risch cut his professional teeth at McKinsey, Opendoor, and Andrew Ng's AI Fund before joining Greylock in 2019. He approaches every investment like an applied statistician - 'shifting the distribution to increase a founder's odds of success' - and has backed breakout companies including Wiz, Cribl, LlamaIndex, Kodem, and Blockaid.

Vicki Boykis is a founding ML engineer and one of the most respected voices in applied machine learning. Known for making complex systems legible through rigorous writing and dry wit, she runs the Normcore Tech newsletter, authored a widely-cited deep dive on embeddings, built Viberary (a semantic book recommendation engine), and created Normconf - an unconventional data conference celebrating the unglamorous realities of ML work. She brings an economist's skepticism and a software engineer's discipline to a field that often confuses hype for progress.