Attio, a British AI-native CRM, as we speak introduced it has raised €44 million in Sequence B funding to construct the primary AI CRM that understands prospects and offers groups the ability to form it precisely to their enterprise.
The spherical was led by GV (Google Ventures), with participation from present traders Redpoint Ventures, 01A, Level 9, and Balderton Capital. Attio has raised €99 million to this point in complete funding.
“CRM is among the most necessary classes in B2B, nevertheless it’s been caught up to now,” mentioned Nicolas Sharp, CEO and Co-founder of Attio. “AI-native CRM wants a very totally different basis – one which permits you to actually perceive each buyer, take motion quick and offers you the liberty to construct the precise go-to-market methods you want at scale. That’s what we’re constructing with Attio, and this funding will enable us to speed up our imaginative and prescient.”
Based in 2025, Attio has a broad shopper base, together with notable AI startups like Lovable, Granola, Modal, Replicate. The corporate is on observe to 4X ARR this 12 months.
Attio argues that whereas CRM has been the spine of B2B software program for many years, its foundations haven’t stored tempo with how enterprise really works as we speak. In consequence, many core GTM capabilities have been constructed exterior the system, spawning a fragmented ecosystem of 1000’s of level instruments that firms have needed to sew collectively at nice price.
Go-to-market groups have lengthy handled inflexible methods, pricey integrations, and gradual progress. That panorama is now shifting as AI brings each challenges and alternatives. On one hand, it’s exposing the shortcomings of conventional CRM platforms, which have been designed for handbook processes and static workflows. Whereas AI can automate some duties when layered onto these methods, it can’t overcome their underlying limitations. On the identical time, AI is enabling a brand new technology of go-to-market leaders to work extra shortly and flexibly. They will now construct options in days as a substitute of months, with out counting on vendor timelines or prolonged implementation cycles.
“At present’s go-to-market builders count on platforms they will form to suit their imaginative and prescient, not inflexible methods they’re pressured to work round,” mentioned Alexander Christie, CTO and Co-founder of Attio. “To actually seize the alternatives AI creates in CRM, it needs to be deeply built-in into the structure of the system, not simply bolted on as an afterthought. Retrofitted options will all the time be much less efficient as a result of the foundations of legacy CRMs weren’t designed for the dimensions, autonomy, and extensibility that AI brokers demand.”
To make this doable, Attio is constructed from the bottom up on a brand new basis – AI-native primitives that give groups the liberty to design precisely how their go-to-market works. These core constructing blocks outline all next-generation software program and are important for any AI-native CRM:
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Native information ingestion: clear, real-time GTM information from each supply, unified in a single place – no duplicates or stale data
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Clever workflow engine: programmable automation that runs end-to-end throughout methods, groups, and complicated enterprise logic.
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Programmable surfaces: APIs, SDKs, and pure language interfaces for constructing functions, options, integrations, and workflows straight contained in the CRM
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Agent collaboration: designed for people and AI to function collectively throughout each GTM course of
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Granular permissions: fine-grained entry management throughout customers, information, and AI brokers
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Predictive intelligence: context that repeatedly learns and surfaces the fitting insights and actions on the proper second.
Clients are utilizing native information ingestion to unify correct, real-time information throughout their go-to-market stack, clever workflows to automate complicated processes in report time, and programmable surfaces just like the App SDK (now in beta) to construct and launch apps straight inside Attio.
Extra primitives, together with agent collaboration and superior permissions, are in lively growth and can broaden the platform’s capabilities even additional as they’re launched.
With its Sequence B, Attio will scale engineering, fast-track product growth, and ship on its imaginative and prescient to construct the CRM that powers the subsequent technology of go-to-market – one which understands each buyer, adapts to any workforce, and offers them the ability to form it to their enterprise.
On the engineering aspect, Attio will make investments closely in R&D, with a concentrate on superior agent collaboration, granular permissions and predictive intelligence.
On the go-to-market entrance, the corporate will double down on reaching the brand new technology of GTM builders – giving them the liberty to design and deploy the precise instruments they want, with out ready on vendor roadmaps or lengthy implementation cycles.
As a part of the spherical, Michael McBride, associate at GV and former CRO of GitLab, joins Attio’s board of administrators.
“It’s been 25 years for the reason that final main platform shift in CRM, one of many largest software program markets. Attio has the AI-native structure, imaginative and prescient, and fast buyer development to outline the way forward for CRM and go-to-market software program,” mentioned Michael McBride, Common Accomplice at GV. “For many years, innovation in go-to-market software program was incremental and fragmented throughout numerous level options. With the flexibility to construct, automate and lengthen straight within the platform, Attio is the inspiration for go-to-market for the AI period.”
