AI-Native CRM Platform

Traditional CRM systems (Salesforce, HubSpot, Zoho) are bloated, expensive, and require weeks of configuration before delivering any value. Sales teams spend more time navigating complex menus, manually entering data, and switching between disconnected tools than actually selling. SMBs especially suffer — they need CRM capabilities but can't afford the enterprise setup cost, admin overhead, or months of customization. Data lives in silos across email, calendars, spreadsheets, and legacy systems with no unified view. The result: low CRM adoption, dirty data, and missed revenue.

Engineered a production-grade, AI-first CRM where natural language is the primary interface — not an add-on. Users describe what they need in plain English, and an autonomous AI agent (powered by Claude's Tool Use API with 11 specialized tools) executes multi-step CRM operations: creating records, generating custom objects, building automation workflows, and querying data — all conversationally. The platform unifies data from Salesforce and 5+ database systems (PostgreSQL, MySQL, MongoDB, DynamoDB, Snowflake) through intelligent schema mapping and auto-deduplication. A complete workflow automation engine supports trigger-based actions, decision branches, loops, and third-party webhooks — all configurable through natural language. A built in MCP will be able to connect to any other MCP supported platform without the need for an API. The system is fully multi-tenant with Row Level Security across 38 database tables, AI cost controls with rate limiting, prompt injection detection, and enterprise audit trails. Setup takes 10 minutes with industry-specific templates — delivering instant value where legacy CRMs take weeks.