Humans& Raises $480M Seed to Build AI That Works With People, Not Instead of Them

Humans&, a new AI startup founded by alumni from Anthropic, xAI, and Google, has emerged from stealth with one of the largest seed rounds ever: $480 million at a $4.48 billion valuation, according to The New York Times.

The company’s core belief is simple but ambitious: AI should amplify human collaboration, not replace it. Backing that vision are heavyweight investors including Nvidia, Amazon founder Jeff Bezos, SV Angel, GV, and Laurene Powell Jobs’ Emerson Collective.

The three-month-old startup reflects a growing trend in AI investing massive early bets on teams spun out of the world’s most influential research labs. Humans& brings together an unusually deep bench of technical talent. Co-founder Andi Peng previously worked at Anthropic on reinforcement learning and post-training for Claude models from 3.5 through 4.5. Georges Harik was Google’s seventh employee and helped build its earliest ad systems. Eric Zelikman and Yuchen He contributed to xAI’s Grok chatbot, while Noah Goodman, a Stanford professor, is a leading figure in cognitive science and AI.

The broader team of around 20 employees includes alumni from OpenAI, Meta, MIT, AI2, and Reflection.

Rather than building another standalone chatbot, Humans& is focused on AI as connective infrastructure software designed to help people work better with each other. One way to think about it is an AI-native communication layer, similar to instant messaging, but built to understand users over time. The company is experimenting with techniques that allow AI systems to ask clarifying questions, retain context, and develop longer-term memory across interactions.

On its website, Humans& describes its goal as creating AI that becomes “deeper connective tissue that strengthens organizations and communities.” Achieving that, the company says, will require rethinking both how models are trained at scale and how humans interact with them day to day. The team points to challenges like long-horizon and multi-agent reinforcement learning, persistent memory, and richer user understanding all developed with science and product tightly intertwined.

TechNews has reached out to the company for comment.

While the size of Humans&’s seed round is eye-catching, it’s increasingly part of the norm in today’s AI funding landscape. Thinking Machines Lab founded by former OpenAI CTO Mira Murati raised a $2 billion seed round last year at a $12 billion valuation. Other mega-seed deals include Unconventional AI’s $475 million raise for neuromorphic computing and Lila Sciences’ $200 million round for its autonomous AI lab platform.

Even LMArena, the AI benchmarking platform spun out of UC Berkeley, raised $100 million shortly after becoming a commercial venture and recently followed up with a $150 million Series A.

Still, recent shakeups across several of these well-funded startups are a reminder that pedigree and capital don’t guarantee success. For Humans&, the challenge now is to turn a compelling philosophy human-first AI into products that genuinely change how people work together.