Cohere's cofounder says the $6.8 billion company is not making its AI model 'an amazing conversationalist'

""When we train our model, we're not training it to be an amazing conversationalist with you," Frosst said. "We're not training it to keep you interested and keep you engaged and occupied. We don't have like engagement metrics or things like that." The Canadian AI startup was founded in 2019 and focuses on building for other businesses, not for consumers. It competes with other foundational model providers such as OpenAI, Anthropic, and Mistral and counts Dell, SAP, and Salesforce among customers."

""One of the reasons why we're focused on the enterprise is because that's really where I think large language models are useful," the cofounder said. "If I look at my personal life, there's not a ton that I want to automate. I actually don't want to respond to text messages from my mom faster. I want to do it more often, but I want to be writing those.""

Cohere is a Canadian startup founded in 2019 that builds large language models for enterprise customers. The company focuses on automating business tasks rather than consumer-facing or personal automation. Cohere does not optimize models for conversational engagement and does not use engagement metrics. Training data includes synthetic datasets that simulate fake companies, internal emails, and APIs to mirror enterprise workflows. Customers include Dell, SAP, and Salesforce, and the company competes with providers such as OpenAI, Anthropic, and Mistral. A recent funding round valued the company at $6.8 billion, led by Radical Ventures and Inovia Capital.

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