Cohere Bets on AI Sovereignty Over Scale

When Aidan Gomez talks about Cohere’s approach to artificial intelligence, he tends to focus less on model size or benchmarks and more on trust. “Privacy and security you cannot compromise on, you can’t go halfway,” he told the Financial Times last week.

Cohere was founded in 2019 by a group of former Google researchers including Gomez, Ivan Zhang and Nick Frosst. The company has just raised $500 million at a $6.8 billion valuation, according to its announcement. It does not build public chat apps. Instead it provides models and tools that companies can run on their own infrastructure. For organizations that handle regulated data, that difference matters.

The idea is simple. Banks, hospitals and governments are not comfortable sending their most sensitive data to a third party. They need control, audit logs and the ability to meet regulatory obligations. Cohere’s platform North is designed to provide those controls while still delivering automation and advanced language understanding. The company emphasizes on premises and hybrid deployments, and it says its stack can meet standards such as GDPR and SOC 2 while running on modest hardware when required.

The wider context has changed. Political tensions and national security concerns have made countries and large enterprises wary of handing the keys to a handful of cloud providers. Cohere’s Canada base and cloud agnostic stance allow it to offer a different promise, namely that modern generative AI can be used without relocating data or ceding control. Gomez has said sovereignty was a theme before recent geopolitics, but that the moment has sharpened.