Move over PayPal Mafia. A new generation of operator-founders is remaking the artificial intelligence landscape, and they share a common alma mater. Eighteen startups launched by former OpenAI staffers and researchers are now competing for talent, capital, and customers across everything from foundation models and agentic systems to robotics, materials discovery, and climate tech.
It is more than a coincidence. Alumni are leveraging shared playbooks from the ChatGPT era — fast iteration, safety-by-design, and distribution through APIs — while tapping a tight investor network that includes the OpenAI Startup Fund, prominent venture firms, and high-profile angels. The result is a dense web of companies that both rival and reinforce the broader OpenAI ecosystem.
- Inside the alumni web connecting ex-OpenAI founders
- The heavyweights and direct rivals to OpenAI emerge
- Enterprise and developer plays shaping AI adoption
- Robotics and physical AI push into real-world work
- Climate and hard science bets led by alumni teams
- Why this alumni mafia matters to the AI ecosystem

Inside the alumni web connecting ex-OpenAI founders
Former leaders and early employees have become founders, backers, and customers of one another, creating a self-propelling pipeline for capital and talent. Ex-Go-To-Market leaders such as Aliisa Rosenthal have said they source deals through the ex-OpenAI founder network, while investors like Peter Deng at Felicis have already written checks into alumni-led companies. Benchmark, Sequoia Capital, Andreessen Horowitz, and other marquee firms appear repeatedly across cap tables, according to company announcements and investor disclosures.
The effect is visible in hiring and partnerships. Companies led by alumni often share advisors, reuse open-source tooling developed in the trenches, and negotiate preferential access to compute or model weights. Stanford’s AI Index and PitchBook data both point to a sustained surge in AI startup formation and funding, with alumni-founded ventures capturing an outsize share of late-stage dollars.
The heavyweights and direct rivals to OpenAI emerge
Anthropic, founded by Dario and Daniela Amodei, has emerged as the most formidable counterweight to OpenAI, emphasizing “constitutional” safety methods and enterprise reliability. The company counts deep-pocketed strategic partners and has been speculated to be exploring a public listing, per multiple financial press reports.
Another headline-grabber is Safe Superintelligence, launched by OpenAI co-founder Ilya Sutskever. The company has raised a multibillion-dollar war chest with a narrowly defined mission to build safe, scalable systems; investors include prominent tech founders and major funds, according to company statements.
Adept AI Labs, co-founded by former OpenAI engineering leader David Luan, pushed aggressively into AI agents for knowledge work. A subsequent hiring-and-licensing deal brought its founding team to Amazon to accelerate the tech giant’s agents program — a playbook observers have described as an “acqui-hire without the M&A baggage.”
Thinking Machines Lab, created by former OpenAI CTO Mira Murati, is building more customizable, capability-focused systems and has attracted blue-chip backers. And xAI, where ex-OpenAI engineer Kyle Kosic helped shape early infrastructure, continues to wage a consumer-model rivalry with Grok, drawing attention from both developers and policy circles.
Enterprise and developer plays shaping AI adoption
Perplexity, co-founded by former OpenAI researcher Aravind Srinivas, has staked out AI-native search with brisk user growth and investment from Nvidia and Jeff Bezos’s family office. On the enterprise productivity front, Cresta (founded by early OpenAI team member Tim Shi) deploys real-time AI coaching for contact centers, while Kindo (co-founded by Margaret Jennings) offers governed chatbots and policy controls for large companies.
Newcomers Applied Compute — launched by Rhythm Garg, Linden Li, and Yash Patil — helps enterprises train and deploy custom agents; a recent round led by Benchmark reportedly valued the company in nine figures. Worktrace, founded by ex-OpenAI product leader Angela Jiang, analyzes workflow patterns to automate operations and is backed by the OpenAI Startup Fund alongside prominent alumni. Softmax, the research-focused venture from former interim OpenAI CEO Emmett Shear, is quietly building core model science, with support from Andreessen Horowitz.

Not every bet is pure software. Pilot, co-founded by OpenAI alum Jeff Arnold, reimagined startup accounting with a tech-enabled services stack and reached unicorn status before its co-founder moved into venture investing.
Robotics and physical AI push into real-world work
Covariant, started by alumni Pieter Abbeel, Peter Chen, and Rocky Duan, builds foundation models for robots to handle the unpredictability of warehouses and factories. Amazon later hired the founders and a sizable slice of the team, a move seen by antitrust watchers as part of a broader trend to secure talent without triggering merger reviews.
Prosper Robotics, founded by former OpenAI researcher Shariq Hashme, is working on an at-home “robot butler,” joining a cohort that includes 1X and Apptronik. Daedalus, co-founded by ex-OpenAI robotics lead Jonas Schneider, is automating precision manufacturing — an underappreciated wedge where reliability and cost curves are starting to bend.
Climate and hard science bets led by alumni teams
Living Carbon, co-founded by ex-OpenAI special projects lead Maddie Hall, engineers trees designed to capture more CO₂. It’s a bold fusion of synbio, forestry, and carbon markets that mirrors a broader shift toward AI-for-science.
Periodic Labs, started by former OpenAI leader Liam Fedus alongside Ekin Dogus Cubuk, is building AI scientists to accelerate materials discovery, with an emphasis on superconductors. The company emerged with a very large seed round from marquee backers including Jeff Bezos and Eric Schmidt, according to investor communications.
Education is in the mix, too. Andrej Karpathy’s Eureka Labs is crafting AI teaching assistants that translate cutting-edge concepts into approachable lessons for developers and students — a natural extension of his widely followed technical explainers.
Why this alumni mafia matters to the AI ecosystem
Together, these 18 startups have raised many billions in equity and compute commitments, based on public filings, press releases, and investor briefings. More importantly, they are pushing the frontier in complementary directions: safer foundation models (Anthropic, SSI), configurable enterprise stacks (Cresta, Kindo, Worktrace, Applied Compute, Pilot), AI-native search and assistants (Perplexity, Softmax, Thinking Machines Lab), embodied intelligence (Covariant, Prosper Robotics, Daedalus), and science-driven moonshots (Adept’s agent legacy, Periodic Labs, Living Carbon, Eureka Labs).
The alumni advantage is not just technical. Veterans bring a nuanced view of governance, red-teaming, and policy — increasingly decisive factors for procurement. Reports from Stanford HAI and the OECD note that responsible AI frameworks are now embedded in enterprise buying criteria. That gives operators trained inside OpenAI’s safety culture a commercial edge.
Expect the list to keep growing. As model costs fall and tooling matures, the alumni flywheel — founders backing founders, repeat investors, and shared infrastructure — is poised to spin faster. The original “mafia” rewired online payments. This one is busy rewriting how software thinks, moves, and discovers.
