Thomas Dohmke Launches Entire, an AI-first Workspace to Unify Apps, Agents and Company Knowledge
Entire’s platform connects to common workplace systems such as messaging apps, documents, CRMs and project tools, allowing users to search information, automate tasks and coordinate workflows from one place.
Former GitHub CEO Thomas Dohmke has announced the launch of his new startup called Entire, which is an AI-first workspace platform designed to bring together enterprise apps, internal knowledge and autonomous AI agents into a single interface, as companies look to simplify workflows and reduce tool sprawl.
Last August, Dohmke announced that he is stepping down from his leadership role at the Microsoft-owned platform by the end of 2025 to “become a founder again,” in a blog post.
Dohmke is positioning Entire as a new operating layer for work where employees can interact with software and data through conversational AI rather than switching between multiple tools.
The startup has also raised a $60 million seed round, valuing the company at $300 million. The round was led by Felicis, with participation from Madrona, Microsoft’s M12, and Basis Set, along with angel investors including Gergely Orosz (The Pragmatic Engineer), Theo Browne (T3 Chat), Jerry Yang (AME Cloud Ventures), Olivier Pomel (Datadog), and Garry Tan (Y Combinator).
"In the last three months, the fundamental role of the software developer has been refactored. The incredible improvements from Anthropic, Google, and OpenAI on their latest models made coding agents so good, in many situations it’s easier now to prompt than to write code yourself. The terminal has become the new center of gravity on our computers again."
"The best engineers can run a dozen agents at once. Yet, we still depend on a software development lifecycle that makes code in files and folders the central artifact, in repositories and in pull requests. The concept of understanding and reviewing code is a dying paradigm. It’s going to be replaced by a workflow that starts with intent and ends with outcomes expressed in natural language, product and business metrics, as well as assertions to validate correctness."
"This is the purpose of our new company Entire, to build the world's next developer platform where agents and humans can collaborate, learn, and ship together. A platform that will be open, scalable, and independent for every developer, no matter which agent or model you use," Dohmke said in a social media post.
Entire’s platform connects to common workplace systems such as messaging apps, documents, CRMs and project tools, allowing users to search information, automate tasks and coordinate workflows from one place.
The company said its goal is to create a unified environment where AI agents can take actions on behalf of employees, retrieve context across apps and help teams complete tasks faster.
The launch comes as enterprises increasingly experiment with AI copilots and agents to boost productivity and streamline operations. By centralising data and integrations, Entire aims to give organisations more control over how AI systems access company knowledge while maintaining security and governance.
The company also said its platform is designed to support collaboration across teams, enabling employees to query information, generate content and trigger workflows through natural-language prompts.
Entire is entering a crowded market of AI workplace platforms, but argues that deeper integrations and agent-based automation will differentiate its offering. The company plans to expand integrations and capabilities over time as it works with early customers to refine the product and scale adoption across organizations.