Flourish, the neuromorphic AI startup co-founded in 2024 by Internet Explorer creator Thomas Reardon and Rob Williams, closed a $500 million round at a $2.5 billion valuation. Jeff Bezos nearly doubled an initial $50 million commitment to contribute close to $100 million; Lux Capital and Google Ventures also participated. The company's system, Cortex AI, uses connectomics — the dense wiring maps coming out of neuroscience labs over the last decade — to design AI architectures with an energy draw target of 20 to 50 watts. A single H200-class server GPU pulls roughly 700 watts under load; a full training rack pulls hundreds of kilowatts.
Reardon's resume is the reason this round closed at this size. He built Internet Explorer at Microsoft in 1994, then co-founded CTRL-labs, the neural-interface startup that Meta acquired in 2019 for somewhere between $500 million and $1 billion. He has spent a decade close to both the neuroscience and the systems-engineering sides of the brain-machine interface, which is what Flourish is selling: not 'inspired by neurons' marketing, but a serious attempt to reverse-engineer the specific efficiency mechanisms the cortex uses and reproduce them in silicon.
The bet matters because AI's energy story has become structurally untenable. Big Tech's combined 2026 capex is on track to exceed $725 billion, the bulk of it grid-bound. Anthropic, OpenAI, and Google have all announced multi-billion-dollar power deals in the last six months. The marginal Wh per useful inference has been falling, but not nearly fast enough to keep up with usage growth — and the geography of available power is forcing labs to build in places like Texas and the UAE rather than where engineers want to live. A credible 1000× efficiency floor changes that calculus. Whether Flourish hits 20 watts is unknowable today; whether the industry needs someone to try is not.
A note for learners: efficiency is the unglamorous half of AI research, and it's where the next decade's competitive advantage is most likely to come from. The frontier labs are constrained by power contracts and substation lead times, not by ideas. If you are picking a research direction or a specialization to invest in, 'how do we get more useful work per joule?' is a question with a guaranteed customer for the next twenty years.