Capable is an AI-native CRM that operates through chat, allowing sales professionals and relationship-driven teams to update records by simply talking to an AI agent. The platform provides a clean web interface while exposing 46 MCP tools so AI assistants like Claude can read and manage CRM data directly. Unlike traditional CRMs that force users into a sales funnel, Capable adapts to any relationship motion—investors, partners, clients, or community—and surfaces which relationships are warming or going quiet.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional CRMs force users into a sales-funnel paradigm and rely on manual data entry, consuming evenings and creating stale fields, inaccurate pipelines, and forecasts detached from reality. People whose work is built on relationships—founders, investors, partners, and advisors—have no software fit for their needs, leaving them to manage their most valuable assets in spreadsheets, inboxes, and memory.
Solution
Capable is an AI-native CRM where the record keeps itself. Users connect their email and talk to an AI agent in chat; the agent reads call transcripts and drafts field-by-field updates for review and approval without leaving the conversation. The system provides a clear web UI for team visibility while exposing a single MCP endpoint with 46 tools, letting AI assistants like Claude operate the CRM directly. Capable is motion-neutral: instead of forcing a funnel, it adapts to investors, partners, clients, or community shapes. It also measures relationship health by reading engagement patterns, surfacing which ties are warm and which are going quiet before they cool.
Target Audience
Capable serves relationship-driven professionals—founders, investors, business development leaders, agencies, advisors, and community builders—who need a CRM that adapts to their workflow rather than forcing a sales pipeline, and teams already using AI assistants who want to operate their CRM through chat.
Features
- MCP-native architecture exposing 46 tools through a single endpoint for supported AI clients (Claude supported today)
- AI-driven data capture: agents parse call transcripts and draft record updates for user approval, eliminating manual entry
- Field-by-field review workflow inside chat, allowing precise control before changes are committed
- Motion-neutral data model that accommodates any relationship workflow (pipeline, investor network, partnerships) without forcing a funnel structure
- Relationship-health analytics that track engagement and flag warming or cooling connections
- Web UI with role-based access controls (admin, manager, member, viewer) for team oversight and governance