For GTM builders at fast-growing startups, Attio is an AI-native CRM that gives every account a configurable, database-like data model, adds AI agents for prospecting and lead routing, and now exposes an MCP server so outside agents can read and write CRM data directly.
Presence & Market Position
#2 of 64
AI-Native GTM Challengers
▼ 13 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Attio is positioning itself as a CRM that agents build on and act inside, not merely a system they query. The 2026 arc moved from a configurable, database-like data model to an agent-accessible platform — App SDK, Universal Context, MCP distribution across Claude, ChatGPT, and Notion — and now to an execution layer, with Workflows running agents across every account and the Inconvo acquihire folding in embedded natural-language-data-agent infrastructure. Conversation about the brand is rising and sits mostly in practitioner stack-building content: it appears as the system-of-record layer inside AI-agent workflow breakdowns, in market maps of AI-native tooling, and in comparisons against legacy CRM incumbents.
Monaco
Reevo
Granola
Aurasell
WarmlyLovable, TaskRabbit, Union Square Ventures, Railway, Replicate, Modal, Granola, Snackpass, Flatfile, Legora
Work at Attio? Claim this profile to add customers and case studies.
Business Profile
Attio was founded in 2019 in London by Nicolas Sharp and Alexander Christie and has raised $116M, including a $52M Series B led by GV in August 2025 that valued the company at roughly $500M, with Redpoint, Balderton, and Point Nine also participating. At around 144 employees, its growth story runs through product traction more than headcount: third-party vendor data has tracked it as the fastest-growing CRM in its category, passing Pipedrive on adoption. Its most recent move was inorganic: the July 2026 acquisition of Inconvo, a natural-language data-agent startup whose founding team joined Attio's engineering organization to deepen the agent layer under the CRM.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Attio's build-out has moved in stages: an App SDK that turned the CRM into a platform, a Universal Context semantic layer with Ask Attio as its conversational surface, then a hosted MCP server that lets outside clients like Claude, ChatGPT, Cursor, and Raycast query and write workspace data via OAuth. The Workflows launch extended that from answering questions to running agents continuously across accounts for prospecting, routing, and follow-up, and a recent acquisition adds engineering depth to that agent layer.
IS THIS YOUR BRAND?
Claim this profile
Fact-check your data, add context, and earn the verified badge — free, takes minutes, work email required.
Claim Attio →