At Capacitive, we envision a future where enterprises no longer struggle with scattered data and fragmented workflows. Our mission is to build a unified platform that empowers knowledge workers to engage effortlessly with their digital environments through natural language and intelligent automation.
By harnessing advanced AI and semantic search technologies, we are creating a secure, integrated workspace that transforms complex SaaS ecosystems into a single conversational interface. This approach enables businesses to scale AI-driven workflows with confidence and precision, rooted in strong data security and enterprise-grade controls.
We are dedicated to pioneering a new era of operational efficiency where AI agents intelligently automate repetitive tasks, unlocking the full potential of enterprise data and empowering teams to focus on high-impact work that drives meaningful progress.
Our Review
When we first heard about Capacitive, we'll admit we were a bit skeptical. Another AI platform promising to "unify everything"? We've seen this movie before. But after digging into what Kevin Treehan and Rohan Radhakeesoon have built, we're genuinely impressed by their approach to solving one of enterprise AI's biggest headaches.
The Problem They Actually Get
Here's what caught our attention: instead of building yet another chatbot, Capacitive tackles the real mess that is modern knowledge work. You know the drill—your sales data lives in HubSpot, your docs are scattered across Google Drive and Confluence, your team chats in Slack, and somehow you're supposed to make sense of it all.
Most AI tools force you to connect each platform separately, creating a security nightmare. Capacitive flips this by becoming a single integration point that lets you chat with all your data at once. Ask "What's my monthly burn?" and it pulls from wherever that information lives, no hunting required.
Smart Architecture Choices
What really sets them apart is the technical foundation. Each client gets their own virtual private cloud—not just a promise of security, but actual infrastructure isolation. For enterprises still nervous about AI touching their sensitive data, this is huge.
The role-based access controls are equally thoughtful. Your intern can't accidentally query executive compensation data, but they can still automate their daily tasks. It's the kind of boring-but-critical stuff that separates real enterprise tools from demos.
Where It Shines
We're most excited about the workflow automation potential. Being able to say "Find all clients who haven't created an account and follow up" and having it actually happen across multiple systems? That's the kind of AI application that saves real time.
The natural language interface feels surprisingly natural too. No need to learn complex query languages or remember which field names each platform uses. Just ask in plain English and let the AI figure out the rest.
The Verdict
Capacitive feels like it was built by people who've actually worked in enterprise environments—which, given the founders' backgrounds, makes sense. The May 2025 beta launch timing puts them right in the sweet spot as companies move from AI experimentation to real implementation.
This isn't flashy consumer AI, but for knowledge workers drowning in SaaS sprawl, it might just be the lifeline they've been waiting for. We'll be watching to see how they handle the inevitable scaling challenges, but the foundation looks solid.
Connect multiple SaaS tools via a single integration point
Natural language console for querying and actions across data sources
AI agents for automating workflow tasks
Secure, role-based access controls and enterprise-grade permissioning
Dedicated virtual private cloud for each client ensuring strong data security






