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Prices correct as at August 2026
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Platform profile
Attio
AI-native, flexible data model
Market
Coverage
♥
♠
★
Price band
£££
AI maturity
Advanced
Skill level reqd
LOW-MOD
GROWING
01
At a glance
02
Who it's really for
Best fit
- Technology businesses and investors with non-standard data models
- Teams that want to design their own CRM structure
Poor fit
- Traditional SMEs wanting a ready-made process
- Buyers needing a proven track record and large partner market
03
Core functional coverage
04
Commercial model
Verified as at 1 August 2026Prices are indicative list positions in GBP, converted where the vendor publishes in another currency, and exclude VAT. Treat them as directional.
Licensing structure
Per-user, per-month subscription, billed annually. Enrichment and automations are credit-metered.
Entry price
Free tier; paid from roughly £24 per user per month.
What an SME realistically pays
£50 - £70 per user per month for the tiers with automation and AI features.
Minimum seats
One
Contract terms
Annual for the headline price; monthly available
Common hidden costs
- Data enrichment credits
- Automation run limits by tier
- Higher tiers for advanced permissions and reporting
- Internal design time, which is the real cost here
05
Ecosystem and integrations
Marketplace
Growing app directory with a strong modern API and webhooks
Key native integrations
Gmail and Outlook (native sync)SlackStripeSegment and HightouchZapier
UK implementation partners
Minimal, though being UK-based means direct access to the vendor is realistic.
06
Customisation and extensibility
Configurable without developers
- Fully custom objects and attributes
- Views, filters and saved reports
- Automations and workflows
- Data enrichment rules
Where the ceiling sits
Very high for data modelling, and unusually so for a product this young. Reporting and forecasting are where the ceiling actually sits.
07
Implementation reality
Typical time to value
1 - 4 weeks
Is self-implementation realistic?
Yes, but someone must design the model. Attio gives you a blank canvas rather than a process.
Migration considerations
Excellent import and API tooling. The risk is structural drift if nobody owns the schema.
08
Support and success
Included as standard
Email and in-app chat, responsive and technically competent
Costs extra
Dedicated support and onboarding at Enterprise
Documentation and community
Clean, modern documentation. The community is small but engaged.
09
Scalability and lock-in
Behaviour as you grow
Comfortable to a few hundred seats. The constraint is product maturity rather than architecture.
How hard it is to leave
Low to moderate. Strong export and API access, though custom objects and automations represent real invested work.
10
Strengths and watch-outs
Strengths
- Genuinely modern data model and interface
- Strong AI-assisted enrichment and research
- UK-based, which simplifies contracting and support hours
Watch-outs
- Young product with a short track record
- Requires you to design your own process
- Very small partner ecosystem
11
Bottom line for an SME
The most interesting new entrant here, and a real option for technically confident teams. Too unproven to be the safe recommendation for a cautious buyer.
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