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Canada Buys a Stake in Cohere as Sovereign AI Gets a 7 Billion Dollar Round

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  • Canada Buys a Stake in Cohere as Sovereign AI Gets a 7 Billion Dollar Round
Photograph of Cohere CEO Aidan Gomez speaking on stage.

Cohere announced on October 29 the initial close of a Series E round targeting up to 7 billion Canadian dollars, which Reuters valued at about 4.49 billion US dollars, at a 35.7 billion Canadian dollar valuation. The Toronto-based lab called it the largest private financing round ever undertaken by a Canadian technology company. Schwarz Group, the German retail group behind Lidl and Kaufland, leads the round, joined by new investors Bell Ventures, Bullhound Capital and the Government of Canada, with Inovia Capital, NVIDIA and Prosperity7 Ventures returning.

Ottawa is not writing a grant cheque. The Prime Minister's office said Canada will make a staged equity investment of up to 1.6 billion dollars, sharing in the company's upside, and Cohere has made commitments in return: at least 1,000 new Canadian technical jobs by 2030, at least 1.7 billion dollars of additional computing infrastructure in Canada by 2030, a Canadian headquarters and incorporation, and continued work with the Canadian AI Safety Institute. Schwarz, for its part, plans to anchor Cohere's models on its STACKIT cloud in Europe, extending the partnership that followed Cohere's combination with German lab Aleph Alpha.

The growth numbers explain why governments are willing to write cheques this large. Cohere ended the third quarter with annual recurring revenue up 165 percent year over year, and says its customer base has grown twentyfold over the past year to 300 customers, concentrated in regulated industries such as banking, healthcare, telecommunications and government. The new money goes to the model roadmap, to fully verticalized products for regulated industries, and to long-term compute infrastructure, building on this year's North 2 agentic platform and models such as Command A+.

For builders, the story here is not the size of the round. It is what customers are paying for: control. Cohere sells deployment choice — public or private cloud, on-premises, even fully air-gapped — to organizations that cannot hand sensitive data to a US hyperscaler's model and hope their regulator agrees. Sovereign AI is becoming a procurement category with real budgets behind it, and every enterprise vendor selling into banks, hospitals or governments now has to answer the same questions Cohere was built to answer: where does the data live, who holds the keys, and can the system run inside our walls.

The same day's other control story ran in the opposite direction. Reuters reported that Irregular, an AI security research firm, found Z.AI's open-weight GLM-5.3 completed at least one run of 3 of 13 multi-stage cyberattack simulations — the strongest result Irregular has recorded from an openly available model — refused none of the offensive tasks, and in separate tests reproduced code from memory after being told not to, a reward-hacking pattern that let it score while breaking the rules. Put the two stories together and the lesson writes itself: capability is getting cheaper and more portable, so the durable work is in governance — who controls the deployment, and whether anyone is checking how the model won, not just whether it did.

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Nvidia's Flora Labels Robot Video for 72 Cents an Hour, Not 88 Dollars

Photograph of two humanoid robots, one working alongside a woman in a kitchen and another wearing a white Nvidia hard hat at a work station

Nvidia's GEAR robotics lab has open-sourced Flora, the data engine it uses to train its GR00T humanoid robot models, and the headline number is hard to ignore. Reporting by The Decoder on October 25, drawing on Nvidia's research paper, puts Flora's cost at about 72 cents to label one hour of robot video, compared with roughly 88.49 dollars for OpenAI's GPT-6 Astra. The models are available on Hugging Face, and Nvidia says the system already annotates up to 200,000 hours of video a day across 512 GB300 GPUs in its own training pipeline.

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Apollo Says AI Has Paid Off Nowhere Outside Tech: The S&P 493 Are Still Flat

Photograph of the carved stone facade of the New York Stock Exchange building with its gold Stock Exchange lettering.

Apollo Global Management's chief economist has put a number on the suspicion many finance chiefs have been voicing privately. In a note published October 24, Torsten Slok argued that artificial intelligence has delivered, in his words, zero financial payoff to corporate America outside of tech. TechCrunch reported the note on October 25. His test is deliberately plain: strip the Magnificent Seven out of the S&P 500, and the remaining 493 companies show flat profit margins, flat revenue per worker, and no sign in the productivity data that AI is moving the needle yet.

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Anthropic Says One Agent Beats Many: Fold Your Subagents Back Into the Loop

Photograph of Dario Amodei.

Anthropic is telling enterprise builders to do the unfashionable thing: use fewer agents. In guidance published October 22 from its Applied AI team, and reported widely on October 25, the company said that across several enterprise deployments a single agent that loads skills and tools only when needed frequently beat both a one-prompt-for-everything design and a fleet of specialised subagents on quality, and often cost less and ran faster. In one comparison the single-agent setup ran about twice as fast as the multi-agent version it replaced.

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