Attio CRM
Next-generation, customizable AI-native CRM that adapts to your business workflows instead of forcing you to adapt to the CRM
Features
- Custom Objects: Create unlimited custom objects for any business process (investors, candidates, contracts, partnerships, etc.)
- Relational Data Model: Link objects with powerful relationships - deals to multiple companies, contacts, partnerships
- AI Attributes: AI Agents for research, classification, summarization, and custom insights
- Automated Relationship Intelligence: Auto-populate CRM from email/calendar; auto-enrich with public data
- Call Intelligence: Record, transcribe, identify buying signals, draft action items in real-time
- Real-Time Collaboration: Multi-user simultaneous editing with live updates
- Email & Calendar Sync: Gmail and Outlook integration with auto-contact extraction
- Multiple Pipeline Views: Kanban, table, calendar, filtered lists - same data, multiple perspectives
- Workflow Automation: Conditional routing, multi-step sequences, AI-calculated fields
- Reporting & Analytics: Deep-dive analysis across relationships; sales forecasting
- Data Enrichment: Auto-populate company data (funding, employees, social, industry)
- Mobile Apps: Full functionality on iOS/Android
- Open API: Custom integrations and data connections
Superpowers
Workflows Match Reality: Stop forcing your business to fit a CRM. Build custom objects and relationships that actually reflect how you work. Companies, investors, candidates, partnerships - all can relate in ways that matter to your business.
AI Baked In: Not a chatbot bolted on top - AI is native to Attio. Research agent automatically answers questions that took hours. Classify records intelligently. Summarize complexity into clarity. Every workflow can use AI.
Lightning Fast: Millions of records filtered, sorted, searched in milliseconds. Real-world: 50,000+ contacts with no slowdown. No query waiting.
Immediate ROI: 15 minutes to first custom object. No months of implementation. Teams save hours weekly through automated research, classification, enrichment.
Relationship Intelligence: Data model that understands networks. A deal can relate to multiple companies, contacts, partnerships, influencers - not shoehorned into a single “account”.
Architecture
Flexible Data Model:
- Standard objects: Companies, People, Deals, Workspaces, Users
- Unlimited custom objects: Investors, Candidates, Contracts, Partnerships, Projects
- Relational linking: Objects connect in multiple directions, not just hierarchical
AI Layers:
- Research Agent (company/contact intelligence)
- Classification (automatic categorization)
- Summarization (complexity → clarity)
- Calculated Fields (auto-computed from other data)
- Workflow Steps (AI in multi-step automation)
Real-Time Core:
- Simultaneous multi-user editing
- Live email/calendar sync
- Instant data enrichment
- No lag on large datasets
Use Cases
Modern Sales Teams:
- Non-standard sales processes (doesn’t fit Salesforce/HubSpot templates)
- Product-led growth coordination
- Complex multi-stakeholder deals
- Rapid process evolution
Relationship-Heavy Businesses:
- Consultancies and agencies
- Partnerships and ecosystem plays
- Investor networks
- Creator economy platforms
B2B SaaS:
- Pilot program management
- Account expansion workflows
- Customer success automation
- Churn risk identification
Venture Capital:
- Investor relationship tracking
- Fundraising round management
- Portfolio company correlation
- Complex deal structures
Pricing
- Free: Up to 3 users, 50K records
- Pro: ~$59/user/month - custom objects, advanced permissions, priority support
- Enterprise: Custom pricing - SAML/SSO, dedicated success
Billed annually. Pay per seat.
Comparisons
- vs Salesforce: Faster customization, modern UX, smaller enterprise feature set
- vs HubSpot: More relational, less marketing-integrated, higher customization
- vs Pipedrive: More flexible/customizable, less simple/straightforward
- vs Airtable: Purpose-built CRM, less generic flexibility
Strengths
✅ Custom objects for any workflow
✅ AI native (not bolted on)
✅ Ultra-fast on large datasets
✅ Quick setup (15 min to first custom object)
✅ User-friendly interface
✅ Real-time collaboration
✅ Automatic data enrichment
✅ Responsive support
Limitations
⚠️ Automation learning curve (2+ hours to master)
⚠️ Not ideal for simple pipeline management
⚠️ Per-seat pricing scales with team size
⚠️ Newer platform (smaller ecosystem than competitors)
⚠️ Missing some advanced features (AI forecasting)
Getting Started
- Sign up at attio.com
- Create first custom object (15 minutes)
- Sync email/calendar for auto-enrichment
- Build pipeline views matching your workflow
- Enable AI attributes for research/classification
- Set up workflow automation
Real-World Examples
Passionfroot (Creator Marketplace):
- Built custom objects for creators, partnerships, sponsorships
- Matches their creator-economy business model exactly
- PLG motion coordinated through relational data
June.so (Product Analytics):
- Separate People ≠ Users objects (people move between companies)
- Workspace ≠ Company distinction (organizational structure)
- Preserves relationships when individuals change companies