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C

Capacitive

Commons provides secure and auditable intranet access specifically designed for autonomous agents. It connects to an existing technology stack via integrations, allowing agents to search and operate across internal systems using defined permissions. This platform ensures that all agent actions are fully logged, offering granular control over data access for various enterprise functions.

San Francisco, United StatesFounded 202552K+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Businesses struggle to integrate disparate SaaS platforms and leverage their data for AI-driven automation and analytics. This fragmentation hinders efficient workflow creation and limits the ability to build intelligent agents that can interact with core business systems.

Solution

Capacitive provides a unified platform that enables users to connect their existing SaaS applications and build custom AI agents through natural language interfaces. It acts as a central control plane for internal agentic traffic, facilitating secure and context-aware interactions across various data sources and business tools. This allows organizations to deploy AI for a range of operational tasks, from data analysis to automating complex DevOps workflows.

Target Audience

The primary target audience includes businesses and development teams seeking to integrate their SaaS ecosystems and operationalize AI for automation and data analysis.

Features

  • Natural language interface for connecting SaaS platforms and building AI agents
  • Centralized control plane for managing internal agentic traffic and data flow
  • Secure, context-rich interactions with multiple data sources and applications
  • Support for AI-driven analytics and automation of DevOps processes
  • API for integrating with existing AI agents to enhance their contextual understanding
  • Customizable workflows and agent behavior through simple language commands
This profile is AI-generated and may contain inaccuracies.