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

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 season cohort, Hint is a workflow orchestration startup geared toward filling that hole. The corporate maps advanced company environments and processes in order that brokers have the context they should scale rapidly.

“OpenAI and Anthropic are constructing these sensible interns that may be leveraged inside 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 “Let’s 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 employees. When the system does invoke an AI agent, it can 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 greatest blockers for precise deployment inside firms.

With so many firms targeted on agentic AI, Hint can have loads of competitors. Earlier this week, Anthropic launched its personal tackle enterprise brokers, targeted on pre-built plug-ins for particular departmental features. And most of the office productiveness companies Hint can be drawing from, like Atlassian’s Jira, are launching their very own brokers, which can probably compete with the startup’s system.

However Hint’s founders consider their knowledge-graph strategy would be the key to success, as they will 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 Artur Romanov. “Whoever supplies one of the best context on the proper time goes to be the infrastructure on prime of which the AI-first firms can be constructed. And we hope to be that infrastructure.”