Basecamp Research raises $140 million to train AI on the planet's DNA

Share
Basecamp Research raises $140 million to train AI on the planet's DNA

Two frontier labs spent Tuesday undercutting each other's token prices. The round that might matter longer went to a company teaching AI to read DNA no public database has ever seen.

Basecamp Research, the London startup building biological foundation models from wild DNA, has raised a $140 million Series C led by S32 — a round Reuters reports values the company at $800 million. Nvidia's NVentures, Anthropic's Anthology Fund, the NATO Innovation Fund, the Rockefeller Foundation, Redalpine and True Ventures all joined. The asset is data: EDEN, Basecamp's model family, trains on genetic material collected with local researchers in more than 30 countries across all seven continents — rainforest soil, volcanic ground, Antarctic seafloor — which the company says adds up to over 10 billion new genes, roughly ten times the content of all public sequence databases combined.

The proof point is a molecule. In June, the company reported that EDEN-7, an antibiotic the model designed straight from a pathogen prompt with no manual tweaking, worked about as well as a last-resort antibiotic in mice infected with multidrug-resistant bacteria, in a collaboration with the University of Pennsylvania. Early testing put 97 percent of the model's designed peptide candidates as lab-active — though the mouse work isn't peer-reviewed, and none of Basecamp's six therapy programs has moved past lead optimization. The signal investors are buying is bigger than any pipeline: the next scaling run in AI isn't hiding on the internet, it's in soil. The company's Trillion Gene Atlas project, built with Anthropic, Nvidia, PacBio and Ultima Genomics, aims to grow the dataset a hundredfold toward 100 million species.


Sony Music Group has become the first music company to join ARIAM, the creative-industry coalition for responsible AI that already counts Disney, the New York Times, the BBC and Adobe among its members. "We're very excited to welcome Sony Music Group as the first music company to join ARIAM," the alliance's chief executive Victoria Furniss said in Wednesday's announcement. The timing is the story: Sony is the only major label without a licensing deal with Suno or Udio, and it filed a second lawsuit against Suno alongside UMG just days ago. In its statement, Sony argued that a healthy licensing market — where AI companies proactively partner with rightsholders — is the only foundation for getting generative music right. Litigation to price the infringement, coalitions to shape the rules: the majors are now running both tracks at once.


And the other half of Tuesday's double launch deserves its own tally: Anthropic's Opus 5.5 didn't just cost less — it debuted at the top of Artificial Analysis' Intelligence Index, scoring 58 at max effort, the highest score the benchmark has measured. Pricing dropped to $4 per million input tokens and $20 for output, down from $5 and $25, with cache reads cut from $0.50 to $0.20; Anthropic claims Fable 5.1-level performance on most tasks, about 30 percent faster output, and a 20 percent bump to five-hour usage limits plus a banked reset. METR has published a predeployment evaluation, and Sonnet 5.5 and Haiku 5.5 are reportedly due within weeks. We covered the OpenAI side when it broke — OpenAI halves GPT-6 Sol and Luna prices hours after Anthropic's cut — and the pattern is now unmistakable: the "pace the frontier" essay was days old when Anthropic shipped a cheaper, faster flagship.

What to watch: whether Sonnet 5.5 and Haiku 5.5 inherit the price cuts — and whether OpenAI answers with an Astra-tier discount of its own.

Would a $4 frontier model change what you build — or just what you can afford to run all night? Tell us in the comments.

Read more

Nvidia-backed Firmus pulls its $30 billion IPO after demand collapses

Nvidia-backed Firmus pulls its $30 billion IPO after demand collapses

The biggest AI-infrastructure listing of the year didn't get delayed — it got pulled entirely, after two price cuts in two days found no takers. Nvidia-backed data-center operator Firmus withdrew its Australian IPO on Friday, abandoning what would have been the country's second-largest listing ever after slashing the offer price twice in 48 hours. The company had been marketing shares at A$11 each to raise about $5 billion at a valuation near $30 billion — roughly three times the $10.5 billion

AI inference is redrawing the storage hierarchy

AI inference is redrawing the storage hierarchy

The money has followed GPUs for years, but at GMIF 2026 in Shenzhen the argument was about everything behind them — and the numbers backing it are getting hard to ignore. China's 140 trillion daily token calls are forcing a redesign of the storage stack. Now in its fifth year, the Global Memory Innovation Forum gathered storage makers, analysts and chip designers around one theme: inference, not training, is now the workload that dictates hardware. China's daily token calls had already passed

Cloudflare launches Clef-omni, cuts Clef-flash price by 58%

Cloudflare launches Clef-omni, cuts Clef-flash price by 58%

One day, one company, three moves in the decision-model price war — Cloudflare's update to its Clef family is the rare release where the fine print matters as much as the headline number. Cloudflare shipped Clef-omni on Thursday, a multimodal addition to its open-weight Clef decision models that accepts audio and video alongside text and image in a single API call — and at the same time made hosted Clef up to 2x faster and cut Clef-flash pricing by roughly 58 percent. Clef-omni takes WAV or MP

Meta turned down Amodei's personal plea for compute

Meta turned down Amodei's personal plea for compute

The chip hunt is back in the headlines — and today's edition runs from a boardroom ask at the very top of the AI industry to the economics of putting robot drivers in truck cabs. Dario Amodei personally approached Meta earlier this year to source more compute for Anthropic, and Meta declined — according to the Wall Street Journal. The report lands inside the Journal's larger piece on how desperately the industry is hunting for computing power, and it is the kind of detail that only surfaces wh