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    Home - AI & Tech - Hint raises $3M to resolve the AI agent adoption downside in enterprise
    AI & Tech

    Hint raises $3M to resolve the AI agent adoption downside in enterprise

    Naveed AhmadBy Naveed AhmadFebruary 26, 2026Updated:February 26, 2026No Comments3 Mins Read
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    Hint raises M to resolve the AI agent adoption downside in enterprise
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    For all their potential, AI brokers have been sluggish to make an impression within the enterprise, and one new startup is betting that the explanation they haven’t is a scarcity of context.

    Launched as a part of Y Combinator’s 2025 summer time cohort, Trace is a workflow orchestration startup geared toward filling that hole. The corporate maps complicated company environments and processes in order that brokers have the context they should scale rapidly.

    “OpenAI and Anthropic are constructing these good interns that may be leveraged throughout the firm,” says Hint CEO Tim Cherkasov, referring to the AI labs’ instruments. “We’re constructing the supervisor that is aware of the place to place them.”

    On Thursday, the London-based firm mentioned it had raised $3 million in seed funding from Y Combinator, Zeno Ventures, Transpose Platform Administration, Goodwater Capital, Formosa Capital, and WeFunder. Angel buyers Benjamin Bryant and Kevin Moore additionally invested.

    Hint’s system begins by constructing a data graph from an organization’s present instruments — techniques like e mail, Slack, and Airtable that form the day-to-day working lifetime of the agency. With that context in place, customers can immediate the system with a high-level activity — like “We have to design a brand new microsite” or “Lets develop our 2027 gross sales plan” — and Hint will come again with a step-by-step workflow, delegating some duties to AI brokers and assigning others to human staff. When the system does invoke an AI agent, it is going to immediate it with the particular information wanted to finish its sub-task.

    The thought is to automate away the fragile work of on-boarding AI brokers, one of many largest blockers for precise deployment inside corporations.

    With so many corporations centered on agentic AI, Hint may have loads of competitors. Earlier this week, Anthropic launched its personal tackle enterprise brokers, centered on pre-built plugins for particular departmental capabilities. And lots of the office productiveness providers Hint will likely be drawing from, like Atlassian’s Jira, are launching their very own brokers, which is able to probably compete with the startup’s system.

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    However Hint’s founders imagine their knowledge-graph strategy would be the key to success, as they’ll construct context engineering deep into the construction of agentic deployment.

    “2024 and 2025 was nonetheless about immediate engineering. Now we’ve moved from immediate engineering to context engineering,” says CTO Arthur Romanov. “Whoever gives the perfect context on the proper time goes to be the infrastructure on high of which the AI-first corporations will likely be constructed. And we hope to be that infrastructure.”



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