Item is an AI‑native CRM that unifies data from over 100 SaaS tools into a single knowledge graph and lets users interact via natural‑language prompts. Its Item Assistant and autonomous AI agents handle tasks such as updating deals, generating insights, sending emails, and triggering cross‑app actions without navigating complex menus, allowing sales, customer success, and operations teams to offload repetitive work while maintaining full context about customers and deals.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses rely on traditional CRM platforms that require manual data entry, navigation through complex interfaces, and separate handling of multiple tools, leading to inefficiencies and missed opportunities.
Solution
Item provides an AI-native CRM that unifies data from over 100 integrated applications and enables natural‑language interaction through its Item Assistant. Users can describe tasks in plain language, and the system’s AI agents automatically retrieve information, update records, generate insights, and trigger cross‑app actions without navigating menus. By converting simple process documents into autonomous agents, Item allows teams to offload repetitive work while maintaining full context about customers and deals. The platform serves as a single source of truth where human users and AI agents collaborate side by side, delivering proactive assistance and continuous workflow automation.
Target Audience
Primary customers are sales, customer success, and operations teams at fast‑growing companies that need a streamlined, context‑rich CRM and automated workflow execution.
Features
- Unified knowledge graph that aggregates customer and deal data from 100+ SaaS tools (e.g., email, Slack, Stripe) into a single context layer
- Natural‑language assistant that executes commands such as updating deals, building lists, and sending emails without clicking menus
- Autonomous AI agents generated from plain‑text process documents, capable of running end‑to‑end workflows independently
- Real‑time cross‑application actions (e.g., pulling notes, updating billing systems) triggered from a single conversational interface
- Proactive insights and reminders surfaced automatically before the user asks, based on ongoing activity and data changes
- No complex UI; all interactions occur through conversational prompts, reducing training overhead