AI-native CRM platform with custom objects, automatic data enrichment, and real-time collaboration. Built for startups and scale-ups. Free for 3 users, paid plans from $29/user/month.
A modern, AI-powered CRM that automatically keeps track of your customer relationships by pulling data from your email and calendar — so your sales team spends less time on data entry and more time selling.
Attio is an AI-native customer relationship management (CRM) platform in the CRM & Sales Tools category, offering a free tier for up to 3 users and paid plans starting at $29 per user per month, designed for startups, scale-ups, and relationship-driven teams that need flexible data modeling without enterprise complexity.
Attio represents a fundamental rethinking of CRM for the AI-first generation. While traditional CRMs like Salesforce lock you into rigid data models and HubSpot forces marketing-centric workflows, Attio gives you complete flexibility to model your business processes exactly as they exist — without consultants or complex setup.
At the core of Attio's approach is Ask Attio, a natural language interface that lets users search records, create entries, and generate reports by simply typing questions like 'Show me all deals over $50K that closed this quarter.' This eliminates the menu-driven navigation that slows down traditional CRMs and makes data accessible to every team member regardless of technical ability.
Unlike conventional CRMs that force everything into contacts, companies, and deals, Attio's custom objects let you define any entity type with any attributes. Venture capital firms use this to track portfolio companies and funding rounds. Recruiting teams model candidates, roles, and hiring pipelines. Real estate firms manage properties, agents, and transactions. This flexibility is used by companies including Modal, Union Square Ventures, Railway, and Coca-Cola across industries ranging from technology to consumer goods.
Attio connects to Gmail, Outlook, and calendar services to automatically capture every email and meeting interaction. It then enriches contact and company records with firmographic data — industry, headcount, funding history, and domain information — from public sources. The result is a CRM that builds itself as your team does normal work, eliminating the manual data entry that kills adoption in traditional tools.
Borrowing from modern design tools like Figma, Attio features live cursors and instant updates across all views. When a colleague updates a deal stage or logs a call note, every team member sees the change immediately. This eliminates the stale-data problem that historically undermines CRM trust and adoption.
Attio's Developer Platform includes a REST API, SDK, and Model Context Protocol (MCP) integration — enabling AI agents like Claude to query, create, and modify CRM records programmatically. Teams can build custom internal tools, automate prospecting workflows, and connect product usage data to sales pipelines for product-led growth motions.
Attio is best suited for teams of 3 to 100 people who need a modern, flexible CRM with AI-powered automation but do not require a full go-to-market suite with marketing automation, CMS, or service desk capabilities. For teams that need those broader capabilities, HubSpot offers an integrated platform, while teams with complex enterprise requirements and large existing Salesforce deployments may find migration challenging. Attio's sweet spot is the fast-growing company that wants enterprise-grade CRM power without enterprise-grade complexity or cost.
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Attio delivers on the promise of AI-native CRM with custom objects, automatic enrichment, and intuitive collaboration that actually improves team adoption. While it lacks HubSpot's marketing automation breadth, it excels for sales-focused teams wanting flexibility without Salesforce complexity. The pricing and feature set hit the sweet spot for startups and scale-ups.
Model any business process by creating custom object types with custom attributes — fundraising rounds, partnerships, feature requests, candidates, properties, or anything else. Unlike Salesforce where custom objects require admin configuration and often consultants, any Attio team member can create objects and attributes on demand. This is the platform's core differentiator against rigid contact/company/deal schemas found in traditional CRMs, enabling use cases from venture capital deal flow to real estate portfolio management without workaround hacks or bolt-on tools.
Ask questions or issue commands in plain English — 'Show me all deals with Modal that closed last quarter' or 'Create a new deal for Greenleaf at $50K.' The AI searches, creates, and updates records without navigating menus. Combined with MCP integration, this lets AI agents like Claude operate on your CRM data for prospecting and lead scoring.
Attio syncs with Gmail, Outlook, and calendar services to automatically capture every interaction and enrich records with firmographics like industry, ARR estimates, funding rounds, and stakeholder data. Contact and company records build themselves as your team does normal work — no manual data entry, no separate enrichment pipeline, no Clay-style orchestration required.
CRM data behaves like a shared document — you see teammates' cursors and edits in real-time, just like Figma or Google Docs. When a colleague updates a deal stage or logs a call note, it appears instantly across all views. This eliminates the 'who has the latest data' problem that historically kills CRM adoption in traditional tools.
The developer platform includes a comprehensive REST API, SDK for building in-product apps, and Model Context Protocol (MCP) integration for connecting AI agents directly to CRM data. Teams can build custom workflows, embed Attio data in internal tools, or let Claude and other AI assistants query and modify records — rare among CRMs in 2026.
$0
$29-36/user/month
$69-86/user/month
Custom
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Attio launched its Developer Platform with MCP (Model Context Protocol) integration, enabling AI agents like Claude to query and modify CRM data directly. The platform also expanded AI-powered workflows for complex tasks like prospecting, lead scoring, and stakeholder identification, plus deeper PLG (product-led growth) workflow templates that connect product usage data to sales pipeline automation.
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