By Soumoshree Mukherjee
A new player in the AI infrastructure space, Capacitive, officially launched its public beta on May 30, promising to dramatically simplify how companies run their work across multiple platforms using AI. The startup, part of Y Combinator’s 2025 (YC X25) batch, is the brainchild of co-founders Kevin Treehan and Rohan Radhakeesoon, who left Yale University and moved to San Francisco to bring their vision of streamlined enterprise AI to life.
Capacitive’s premise is straightforward yet ambitious, focusing on how work today is scattered across countless platforms—Slack, Google Drive, Jira, Confluence, Salesforce, and more. Capacitive aims to unify these digital silos through a single interface where users can “chat” with their data and build lightweight AI agents to automate repetitive tasks. By connecting once to upstream platforms, users can query internal data and run cross-platform operations from a browser-style chat interface.
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“Work happens in a million places. It’d be real nice if you could run it from one,” the founders said in their launch video.
The platform provides granular access controls, robust security filtering, and human-in-the-loop oversight to address a key enterprise pain point — safely enabling AI to interact with sensitive internal data. Capacitive positions itself not just as a convenient tool, but as critical infrastructure that bridges the gap between modern AI capabilities and the fragmented realities of enterprise workflows.
Capacitive’s launch is built on a foundational belief that AI tools can only thrive when equipped with team-level and product-specific context, something most companies struggle to deliver due to integration overhead and security risks. As Radhakeesoon noted in a LinkedIn post, “Most [AI tools] just operate in a contextual void. Capacitive acts as your company’s internal data gateway.”
Treehan and Radhakeesoon initially met as students at Phillips Exeter Academy and later, attended Yale together. Their close friendship and shared technical background laid the groundwork for Capacitive. Leaving Yale to pursue the startup full time, they’ve embedded themselves in the San Francisco startup ecosystem, drawing attention from early-stage investors and the broader YC community.
“It’s uniquely intoxicating to wake up each day and have nothing else to do but work on making something people want,” Treehan wrote in a LinkedIn post.
While Capacitive is still in its early days, its ambitious product roadmap and frictionless user experience have already sparked interest from teams looking to move beyond rigid workflows and toward more conversational, AI-powered operations. The team emphasizes the security-first design of the platform—authentication, monitoring, and governance are baked in from the start, making Capacitive more than just a productivity hack.
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“Giving LLMs the ability to not just read but write to your enterprise platforms can seem scary. But done right, it unlocks the next level of workflow automation,” the founders shared.
With a delightfully minimal design, a strong founding story, and Y Combinator’s stamp of approval, Capacitive is setting itself up to be a serious contender in the enterprise AI tooling space. As enterprises look to scale AI beyond experiments and into everyday operations, platforms like Capacitive will be essential in bridging the gap between potential and execution.