llm-training
(5)
Pareto.AI
Pareto.AI is a San Francisco-based, talent-first human data platform that connects AI labs with a deeply vetted network of expert labelers to produce premium training data, RLHF, and evaluation signals. Founded by Thiel Fellow Phoebe Yao, the company started as a bootcamp for women and work-from-home mothers, pivoted into AI data labeling in 2023, and now positions itself as the 'verification layer' for reinforcement learning on real-world expertise, turning specialist judgment into durable reward signals under the banner 'Expert data for AGI.'
Wow AI
Wow AI is a US-registered, end-to-end AI training-data company that supplies high-quality, multilingual datasets and human-in-the-loop services - data collection, transcription, annotation, validation and RLHF - to teams building large language models, voice assistants and computer-vision systems. Its crowdsourcing network spans 170,000+ contributors across 120+ languages, with 100,000+ hours of audio and domain datasets for finance, healthcare and retail. The founding team has since extended the vision into AIxBlock, a decentralized platform for building, training and deploying AI, and WowDAO, a community-owned AI ecosystem.
Turing
Turing is a $2.2 billion AGI infrastructure company that bridges the global talent gap in AI development. Founded in 2018 by Stanford AI alumni Jonathan Siddharth and Vijay Krishnan, Turing operates across two core missions: supplying frontier AI labs like OpenAI and Anthropic with expert human talent for coding, STEM, and reasoning data; and building production-grade AI systems for Fortune 500 enterprises. With a network spanning 4 million developers across 140+ countries, a fine-tuning platform called ALAN, and $334 million raised in total funding, Turing has grown into one of the fastest-scaling companies at the intersection of talent and artificial intelligence.
Jonathan Siddharth
Jonathan Siddharth is the CEO and Co-founder of Turing, a $2.2 billion AI-powered talent and AGI infrastructure company based in San Francisco. A Stanford CS alum with a lifelong obsession with artificial intelligence, he built his first neural network as a teenager to drive a simulated car. After founding and selling Rover (an AI content discovery app) for ~$30M, he launched Turing in 2018 to build the world's largest intelligent developer talent cloud. Today, Turing partners with frontier AI labs including OpenAI to train and improve the world's most capable language models, and counts Fortune 500 companies among its 900+ enterprise clients. He has raised $334M in total funding and led Turing to over $167M in annualized revenue.
Ari Morcos
Ari Morcos is the Co-Founder and CEO of DatologyAI, a Redwood City-based startup that automates the curation of training data for AI models. A Harvard-trained neuroscientist who spent two years at DeepMind and five at Meta AI Research (FAIR), Morcos pivoted from studying how biological brains learn to solving how artificial ones should eat - coining the phrase 'models are what they eat.' His company has raised $57.65M across seed and Series A rounds backed by Felicis Ventures, Radical Ventures, and angel investors including Geoffrey Hinton, Yann LeCun, and Jeff Dean. With an h-index of 35 and over 12,000 citations, Morcos bridges rigorous ML research and venture-scale ambition, targeting the data layer as AI's most underinvested frontier.