Capacitive: The AI Agent Platform Revolutionizing Knowledge Work
In today’s enterprise environment, knowledge workers face an overwhelming challenge: vital information is scattered across countless platforms. From Slack and Notion to Salesforce and Jira, data exists everywhere — but nowhere all at once. This fragmentation not only disrupts workflows but also limits the effectiveness of AI tools that rely on centralized access to function well.
Imagine asking a smart assistant for updates on your sales pipeline, only to receive incomplete answers because half the relevant data is buried in Notion and the rest is locked in Salesforce. Or trying to automate a routine customer check-in, only to be blocked by complex API integrations and compliance risks. Most companies either endure this friction or attempt to build brittle, hard-to-maintain bridges between dozens of tools, often compromising on security and wasting precious engineering hours.
Capacitive was built to address this very gap, providing a secure, streamlined solution for connecting to data sources once and letting AI do the rest. Its mission is simple but ambitious: to unify enterprise knowledge and make it instantly actionable.
How does Capacitive reimagine enterprise AI?
Capacitive flips the current enterprise AI model on its head by moving away from tool-specific integrations toward a centralized, secure gateway. Instead of bolting AI onto each siloed system, Capacitive acts as a universal connector between AI agents and the platforms where company data lives.
Users can connect Capacitive to Slack, Notion, Salesforce, Confluence, HubSpot, Jira, Google Drive, and many more tools. Once connected, Capacitive creates secure, granular gateways that allow AI agents to retrieve, analyze, and act on data across these platforms — all while maintaining strict access controls and security filters.
For example, a team lead might ask, “What’s our quarterly churn rate across all customer segments?” — Capacitive’s AI agent, backed by real-time access to the correct data sets, can instantly deliver a relevant, accurate response. Or, a marketer could issue a natural-language command: “Find all the campaigns with click-through rates under 2% and suggest improvements based on past high performers.”
Whether used directly through Capacitive’s built-in AI chat interface or to power third-party tools like Cursor, the platform brings unparalleled clarity and control to enterprise knowledge.
What makes Capacitive’s security model stand out?
In the world of enterprise data, trust is everything. Capacitive was built with a security-first mindset, knowing that one weak link in the chain could compromise an entire organization’s privacy.
At the heart of Capacitive’s approach is granular cross-platform permissioning. Companies can precisely control who can access what data, and how. Unlike open API bridges that expose organizations to over-permissioned services and potential leaks, Capacitive allows for:
- Role-based access controls: Ensuring team members only see data relevant to their responsibilities.
- Robust filtering mechanisms: Preventing sensitive data from being unintentionally surfaced.
- Comprehensive monitoring: Allowing admins to track how, when, and by whom data is accessed and used.
- Single integration point: Minimizing security surface area while maximizing control.
By providing a layer of abstraction between data and AI interaction, Capacitive reduces the need for risky direct tool-to-tool connections. It’s the digital equivalent of giving AI agents a read-only map, not the keys to the vault.
How do AI agents actually work on Capacitive?
Capacitive makes building, deploying, and using AI agents feel intuitive — even delightful.
The platform allows users to create lightweight agents with nothing more than natural language. Instead of writing code or building complex workflows, users simply describe what they want: “Notify me every Monday about clients who haven’t responded in a week.” Or, “Automatically tag Jira tickets as ‘urgent’ if they mention outages.”
These agents can interact across multiple tools at once — Slack for communication, Salesforce for CRM, Notion for documentation — acting as invisible assistants that amplify team productivity without introducing friction.
And because Capacitive supports real-time actions and not just queries, agents don’t just inform — they execute. From sending emails to updating CRM fields to creating documents, Capacitive’s AI agents are operationally powerful and contextually aware.
This ability to combine insight with action is what sets Capacitive apart in a field full of chatbots and dashboards.
Who are the founders behind Capacitive?
Capacitive is the brainchild of Kevin Treehan and Rohan Radhakeesoon, two longtime collaborators who first met at Phillips Exeter Academy before attending Yale together. Their shared academic background and complementary skills — Kevin in computer science and product design, Rohan in operations and strategy — laid the foundation for a partnership rooted in trust, ambition, and technical excellence.
Kevin, now CEO, brings a deep understanding of AI systems and how to design scalable, user-friendly products. His previous work in computer science at Yale gave him hands-on exposure to the latest in large language models and natural language interfaces.
Rohan, serving as COO, focuses on making the platform operationally seamless for users — ensuring that onboarding, security, and enterprise integration are painless and powerful.
Together, they are building Capacitive not just as a tool, but as a new operating layer for the AI-native enterprise.
How does Capacitive fit into the AI enterprise landscape?
Capacitive joins a fast-growing ecosystem of AI infrastructure startups aiming to reshape how organizations work. But while many companies are focused on building better models or more powerful APIs, Capacitive is focused on the plumbing: securely connecting AI to where real business data lives.
This positions Capacitive as a key enabler — not a competitor — to tools like OpenAI, Anthropic, or enterprise AI copilots. These tools provide intelligence; Capacitive provides access. And in an AI-driven future, access is everything.
Its compatibility with third-party agents like Cursor or GitHub Copilot X makes Capacitive a flexible layer in the modern AI stack, rather than a monolithic solution. This interoperability is critical for organizations that want to experiment and evolve without being locked into a single ecosystem.
Why is now the right time for Capacitive?
The AI revolution has entered the enterprise — but there’s still a massive gap between promise and practice. While large language models have shown incredible potential, their real-world usefulness is still limited by one thing: access to relevant, real-time company data.
Capacitive arrives at the perfect moment. With companies increasingly investing in AI tools and agents, the need for a secure, centralized, and flexible data access layer has never been greater.
By offering a “connect once, control always” platform, Capacitive helps organizations move faster, act smarter, and unlock the full power of AI — without compromising on security or ease of use.
What’s next for Capacitive?
Capacitive is actively growing, iterating, and onboarding early customers who share its vision of seamless AI operations. As the company refines its agent-building experience, expands integrations, and deepens its security stack, it is poised to become the go-to infrastructure layer for AI-native enterprises.
With just two founders and a clear, pressing mission, Capacitive exemplifies the modern lean startup: technically sharp, user-focused, and solving a real pain point at exactly the right time.
In an enterprise world increasingly run by AI, Capacitive isn’t just building a tool — it’s building the connective tissue that lets knowledge workers finally work at the speed of thought.