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Modern, data-native CRM with AI-powered research fields, workflow automation, and a fully customisable object model — loved by AI-first startups.
Modern, data-native CRM with AI-powered research fields, workflow automation, and a fully customisable object model — loved by AI-first startups.
Attio is a modern CRM built around a flexible object model — People, Companies, Deals, and any custom objects you want — with a spreadsheet-and-database feel that startups have adopted en masse as an alternative to Salesforce and HubSpot. Records auto-enrich from LinkedIn, company websites, and email signatures on import, so a fresh workspace has usable data on day one instead of a month of manual entry.
Attio AI adds a research layer that can read a website or LinkedIn profile and populate custom fields ('what does this company sell?', 'do they use Stripe?'), and workflow automations trigger emails, Slack messages, and CRM updates on custom conditions without needing Zapier. Attio integrates natively with Gmail, Outlook, Google Calendar, Slack, Notion, HubSpot, Segment, and dozens more, plus a full REST + GraphQL API for custom pipelines and an official MCP server so AI assistants can search and mutate records directly.
Pricing runs Free (3 seats), Plus ($35/user/mo annual or $44 monthly, up to 10 seats), Pro ($79/user/mo annual or $99 monthly), and Enterprise. AI research credits are metered per workspace. Attio has become the default CRM for AI-first startups, VC portfolios, and modern GTM teams that outgrew Airtable but bounced off Salesforce. It's also the CRM most commonly paired with Clay for enrichment-heavy outbound and with Fireflies.ai for auto-logging meeting notes onto Deal records.
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
$35/user/mo annual, $44/user/mo monthly
$79/user/mo annual, $99/user/mo monthly
Custom
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View Pricing Options →We believe in transparent reviews. Here's what Attio doesn't handle well:
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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Pricing and features change often. If anything on this Attio page is wrong or missing, tell us and include a link to the source. We review every correction.