Day.ai vs Attio (2026)

TL;DR

• Pick Day.ai if your team's pain is data staleness — reps don't log activity, the CRM is always out of date, deals slip because nobody remembers context. Day.ai removes the logging step entirely.
• Pick Attio if you want a CRM you can bend to fit a non-standard motion (VC, partnerships, recruiting, real estate, agency BD) with modern AI features on top of a structured data model.

What each is, in one sentence

Day.ai is an AI-native CRM that connects to Google Workspace or Microsoft 365 and autonomously builds your pipeline from email, calendar, and meeting data — no manual entry. Founded by an ex-HubSpot CPO; backed by Sequoia.

Attio is a modern, API-first CRM with a fully customizable data model where every object is a database you configure — contacts, deals, investments, properties, candidates, partnerships — without a developer.

Data model

This is the cleanest split. Day.ai uses a pre-built schema optimized for relationship sales — contacts, companies, deals, meetings — and treats the content as the variable: notes, summaries, action items are extracted and attached automatically. You don't configure the schema; the AI fills it.

Attio inverts this. You design the schema (objects, attributes, relationships) and the AI helps you populate, enrich, and act on it. Custom objects are first-class on the Pro plan ($79/seat) and above. If your business doesn't fit a contacts-companies-deals model — a VC firm tracking investments, a recruiter tracking candidates, a real estate team tracking properties — Attio is built for you.

AI and automation

Day.ai's AI is upstream: it joins calls, transcribes, summarizes, extracts entities, builds the timeline, surfaces follow-ups. Natural-language queries let you ask plain questions about your pipeline. The promise is "your CRM updates itself."

Attio's AI is downstream: AI-generated fields, automatic enrichment from public data, AI list-building, and a growing set of agents that act on your data (research a company, draft a follow-up, score a lead). Both stacks are credible; they emphasize different points in the workflow.

Pricing

Day.ai uses a hybrid model — base seats plus usage credits for heavy users — and doesn't publish public tiers. Pricing requires a sales call. This is fine for a 20-seat purchase decision; it's friction for a 3-seat startup that wants to try it tonight.

Attio publishes its pricing: free for 3 users with 50,000 records, Plus at $35/seat/mo (up to 10 seats), Pro at $79 on annual billing ($44 and $99 monthly), Enterprise on quote. The free tier is genuinely usable for early-stage teams.

Integrations

Attio has a broader, more mature integration footprint today — Slack, Linear, Stripe, Intercom, HubSpot importer, public API. Day.ai's integration list is narrower and focused on the inputs it needs (Google Workspace, Microsoft 365, Zoom, Gong, Granola). For a team running modern SaaS infra, both will plug in; for a team with heavy non-standard integration needs, Attio wins on coverage.

Who should pick what

• Sales-led startup that lives in Gmail/Outlook → Day.ai. The "CRM that maintains itself" pitch is most credible here.
• VC firm, partnership team, real estate team, recruiter → Attio. Custom objects (Pro plan) are the unlock.
• Founder who has tried three CRMs and abandoned them because nobody updates them → Day.ai. Solves the adoption problem at the root.
• Ops-heavy team that wants to design exactly how the CRM works → Attio. You can build any motion in it.
• Team needing SSO/SCIM, audit logs, and enterprise admin today → Attio. More mature on the platform side.

Bottom line

These aren't really competing products — they're competing theories of what's broken about CRM. Day.ai's theory: reps don't update CRMs, so let AI do it. Attio's theory: CRMs are too rigid, so let users redesign them. Both are correct about their respective problems. Map the pick to which problem hurts more in your business right now.