
Attio
CRMAttio is the AI-native CRM built for modern B2B SaaS teams. It pairs a flexible Airtable-style data model with real-time product data sync, AI research agents, and view-based collaboration, so revenue, ops, and product teams work off the same record without the Salesforce overhead.
Attio is what a CRM looks like when you start from scratch in 2024 instead of bolting AI onto a 25-year-old database. The data model is flexible like Airtable, the surface is collaborative like Linear, and the AI is woven into the schema, not stapled on as a sidebar. For B2B SaaS teams that have outgrown spreadsheets but never want to touch Salesforce, Attio is the natural choice.
What Attio Does
Attio centres on a customisable data model where companies, people, deals, and any custom object you define share a real-time graph. Sales, ops, and product teams all work off the same records through views tailored to their motion.
- Flexible data model with custom objects, custom attributes, and relationships modelled the way your business actually works.
- Email and calendar sync with Google and Microsoft, so every meeting, thread, and contact is logged automatically against the right record.
- Native enrichment that pulls firmographic and personal data from across the web into each record, no Clearbit duct tape required.
- Workflows engine for deal stage automations, list assignments, internal notifications, and outbound triggers.
- Reporting with bar, line, pie, and funnel charts built directly on top of your records, including deal history and rep activity.
- Developer platform with a REST API, OpenAPI spec, App SDK, server functions in TypeScript, and a hosted MCP server at mcp.attio.com.
- View-based UI for SDRs, AEs, CS, and RevOps that means each team gets the slice of the record they need, with the same underlying data.
Attio's AI
Attio's AI is built into the data model rather than tacked on as a chat sidebar. Research agents read your schema and account records, so they can enrich a company, summarise an account's recent activity, write a pre-call brief, or update fields in bulk using context that already exists in the CRM. Because the AI works against your real data model, the output is grounded in your accounts instead of generic web summaries, which is the difference between a useful brief and a hallucinated paragraph.
Automations We Build with Attio
Attio is at its best when it is wired into the rest of the stack: product database, enrichment tools, outbound sender, Slack, Stripe, and the calendar. These are the builds we run for B2B SaaS clients on Attio.
- Product-event to pipeline sync (Postgres, Segment, or product webhooks into Attio) so trial activations, paid signups, and key feature events create or update the right company and person records in seconds.
- Enrichment pipelines (Clay and Apollo) that take a raw domain or LinkedIn handle and write back firmographics, decision-maker contacts, and intent signals on the company record before a rep ever opens it.
- Lead routing built on real signals: ICP fit score, product usage, plan tier, and geography route an account to the right rep in Attio and post the assignment into Slack with the brief attached.
- Outbound sequencing handoff from Attio into Smartlead or Instantly: lists in Attio drive the sender, replies and bookings sync back, and the workflow updates deal stage automatically.
- Stripe billing sync so MRR, plan, seat count, and churn risk live on the Attio company record. CS sees what finance sees without exporting a CSV.
- AI pre-call briefs that combine Attio account history, product usage, and external research into a structured note delivered to the rep 30 minutes before each meeting.
- Executive views and dashboards in Attio that surface pipeline coverage, conversion by source, and account health by ARR band, so the founder team makes calls off the CRM instead of a spreadsheet.
Why Teams Choose Attio
- AI is structural, not cosmetic. The data model, automations, and AI agents share one context, so research and updates happen on real records, not on toy chat answers.
- The data model bends to the business. Custom objects, custom attributes, and clean relationships mean RevOps can model the actual sales motion without paying a Salesforce consultant for six months.
- It moves at startup speed. Implementation lands in days, not quarters, and changes ship the same week instead of waiting for the next admin sprint.
- The developer surface is real. REST API, OpenAPI spec, App SDK, server functions, and a hosted MCP server make it a first-class citizen for engineering-led teams.
- Pricing fits high-growth tech. Plus starts around $29 per seat per month on annual billing, Pro around $69, with a free tier up to 3 seats and Enterprise pricing on request.
Attio sits well in a modern stack: Slack, Gmail and Outlook, Linear, Notion, Stripe, Segment, Apollo, Clay, Smartlead, and any Postgres or product database via the API. Pricing starts free for tiny teams, with paid tiers at roughly $29 and $69 per seat per month (annual billing) and Enterprise on request. That is the layer we build on top of: product-led pipeline, enriched outbound, billing sync, AI briefs, and clean reporting. If you want Attio standing up as the operating system for revenue rather than another tool to chase, that is the build we do.
Use cases
Product-Led Pipeline From Signups
Pipe new signups, workspace activations, and feature usage from your product database straight into Attio as enriched company and person records. Sales gets a pipeline that mirrors what users actually do, not what marketing scored them as.
Enriched Outbound on Real Buying Signals
Combine Apollo and Clay enrichment with Attio's data model so reps prospect inside the CRM, not in a separate tool. Lists, filters, and views update in real time as new firmographic and intent data lands.
Revenue and Ops on One Record
Customer success, finance, and ops share the same Attio company record. Stripe MRR, support volume, and product usage all live alongside the deal, so renewals and expansion conversations happen with full context.
AI Research Agents Inside the CRM
Use Attio's AI agents to pull firmographic context, summarise account activity, and prep pre-call briefs without leaving the record. The agents read your data model, so the output is grounded in your accounts.
View-Based Collaboration Across Teams
Build custom views for each team and motion: SDR working lists, AE deal boards, RevOps health views, founder briefings. Same data, different lenses, no exports or BI dashboards required.
Industries we automate this for
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