Cohere Offers Neutral Enterprise Alternative

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Cohere

Company Report
OpenAI's hit consumer product ChatGPT, while a big success for OpenAI, therefore works at cross purposes to their ability to sell access to their APIs into businesses.
Analyzed 6 sources

ChatGPT turned the model provider into the app competitor. Once OpenAI put a general purpose writing and editing interface in front of hundreds of millions of users, startups built on its API had a new problem. The same company selling them tokens was also teaching end users that many text tasks could be done directly inside ChatGPT for free or $20 a month. That is why enterprise buyers and app builders had a stronger reason to look at neutral suppliers like Cohere, which focused on selling models and deployment options rather than owning the end user relationship.1 2 3 4 5

  • Jasper and Copy.ai originally grew by wrapping GPT-3 inside marketer specific workflows, reaching roughly $72M and $10M ARR by late 2022 with about 60% gross margins. After ChatGPT launched in November 2022, those prosumer and SMB businesses were hit as users swapped dedicated subscriptions for ChatGPT.2 4 5 6
  • The conflict is practical, not theoretical. If a writing app’s core job is drafting emails, editing copy, or turning source text into polished content, OpenAI can collapse that app layer by shipping the feature into ChatGPT. Copy.ai responded by moving up into workflow automation, CRM actions, and account research, where the value comes from connecting systems and executing repeatable business processes, not just generating text.2 5
  • Cohere took the opposite posture. It stayed enterprise first, sold faster and cheaper models, and emphasized private cloud, on prem, and multi cloud deployment. That made it easier for software vendors and regulated enterprises to view Cohere as infrastructure rather than a future rival for the same end user workflow. The Jasper and Cohere linkage fits that logic.1 3 6

This dynamic pushes the model market toward a split. Consumer leaders will keep bundling more end user features into their own apps, while enterprise focused labs win by being trusted suppliers, lower cost engines, or flexible multi model building blocks. The more AI use cases move from one off prompts into embedded business workflows, the more valuable that neutrality becomes.1 3 5 6