How much does Day AI cost?

Day AI maintains a pricing page but rates were not retrievable this session. Third party estimates conflict: one review describes a preview tier plus a pro tier from thirty dollars per user per month, while another describes custom pricing typically starting above one hundred dollars per user, both labeled here as third party estimates. Treat pricing as quoted until confirmed directly.

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Day AI

Q: Who is Day AI for?

AI native startups replacing legacy CRM, Revenue teams at scaling companies, Founders and sales leaders doing their own pipeline work, Product teams mining customer conversations

Also known as: Day.ai

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GTM / revenue agentindependentVerified 2026-07-08

AI native CRM from HubSpot's former chief product officer that listens to meetings, email, and Slack, builds and maintains the customer record automatically, and ships a customer named AI assistant positioned as the Cursor for CRM.

Day AI was founded in 2023 by CEO Christopher O'Donnell, HubSpot's former chief product officer who led the team that built HubSpot CRM, and Michael Pici, another HubSpot veteran, launching out of Boston (the batch Crunchbase data lists a Sacramento headquarters). Sequoia Capital led a four million dollar seed in June 2024 and a twenty million dollar Series A announced in February 2026, when the product entered general availability with roughly one hundred twenty customers after more than a year of private testing, bringing total funding to about twenty four million dollars.

The premise is that legacy CRM data is compressed, like a photograph downsampled to pixel art, while an AI native system of record can keep the full conversational context. Day AI listens to work as it happens, video meetings, email, and Slack, and builds the CRM automatically: contacts, companies, opportunities, notes, and action items structured from real dialogue, with pipeline populated without manual entry and records that stay fresh. A context graph spans applications like Zoom, Slack, and Google Workspace and answers natural language questions about customer history. The company pairs automation with control, adding overrides such as manual opportunity creation after customers asked for fingers lightly on the wheel, and an AI assistant, operating under a name each customer chooses, drafts tailored emails, mutual action plans, and business cases, tracks promises made in meetings, and prompts owners when timing matters, an experience O'Donnell describes as the Cursor for CRM. Meeting assistant, CRM, and knowledge base ship as one platform, positioned to replace legacy CRM at startups or layer onto scaling enterprises.

Day AI fits revenue and product teams who want the customer voice on demand without data entry, competing with Attio, Clarify, Reevo, and the incumbents at HubSpot and Salesforce. It is a weaker fit for teams needing published pricing, a shipped public SDK, or heavy outbound tooling, which reviewers note is not the focus.

Vendor details

Canonical URL

https://day.ai

Subcategory

AI native CRM and conversational system of record

Funding status

Independent, founded in 2023 by CEO Christopher O'Donnell, former HubSpot chief product officer and ProfitWell co founder, and Michael Pici, a HubSpot sales product veteran, launching out of Boston. Sequoia Capital led a four million dollar seed in June 2024 and a twenty million dollar Series A announced February 2026 alongside general availability with roughly one hundred twenty customers, for about twenty four million dollars total.

Company status

independent

Use cases & customers

Primary use cases

Automatic CRM record creation from conversationsPipeline population and maintenance without data entryNatural language queries over customer historyAI drafted follow ups, action plans, and business cases

Target customers

AI native startups replacing legacy CRMRevenue teams at scaling companiesFounders and sales leaders doing their own pipeline workProduct teams mining customer conversations

Deployment options

Cloud

Integrations

Ingests conversations and activity from video meetings, email, calendar, and messaging, with the context graph spanning applications like Zoom, Slack, and Google Workspace. A public SDK for custom integrations is described as planned rather than shipped, and third party reviewers characterize CRM ecosystem integrations as still maturing.

In practice

A founder finishes a customer call and does nothing. Day AI has already logged the interaction, updated the opportunity with the quoted price and timeline, and drafted the recap email with agreed milestones ready for edit and send.

A rep inherits twenty accounts with stale notes. Day AI rebuilds pipeline context from the actual conversation history rather than a CSV export, producing living records that reflect current reality.

A promise made in week two of a long cycle would normally slip. The assistant tracks commitments from meetings and pings the owner when the security docs are due, before the customer has to ask twice.

Sources & related URLs

Related / legacy domains

https://day.ai/pricing

Research sources

https://day.ai/ https://sequoiacap.com/podcast/training-data-christopher-odonnell/ https://www.bvp.com/atlas/lessons-from-day-ais-journey-to-becoming-the-waymo-of-crm https://www.upstartsmedia.com/p/day-ai-sequoia-ai-crm https://www.webpronews.com/day-ai-secures-20m-series-a-to-reimagine-enterprise-crm-through-autonomous-intelligence/ https://www.folk.app/articles/day-ai-review https://startupintros.com/orgs/day-ai

Capability coverage

8.0 / 14 capabilities · 57%

Integrations & Tool CallingThe context graph ingests and enriches customer data across applications like Zoom, Slack, and Google Workspace, with automatic capture from video meetings, email, and calendar, third party profile and Sequoia and Bessemer coverage retrieved 2026-07-08	Full
Workflow OrchestrationThe platform automates pipeline population and maintenance, drafts follow ups and business cases, tracks promises from meetings, and prompts owners when timing matters, operating as an autonomous CRM working on the team's behalf, Upstarts, webpronews, and folk review coverage retrieved 2026-07-08	Full
Knowledge Grounding & RAGKnowledge base is a product pillar alongside meeting assistant and CRM, with a context graph answering natural language questions over the full customer history, KITRUM profile and startup profile retrieved 2026-07-08	Full
Human Oversight & GuardrailsThe company deliberately pairs automation with user control, adding overrides like manual opportunity creation after customer feedback, keeping drafts ready for human edit and send, and emphasizing transparency into AI decisions, Bessemer interview and folk review retrieved 2026-07-08	Full
Security, Identity & GovernanceCoverage reports the company's emphasis on enterprise grade security and compliance with GDPR and CCPA given the extensive permissions the product requires, though certifications are not documented on retrieved pages, webpronews coverage retrieved 2026-07-08	Partial
Observability & AuditabilityThe system is designed to be transparent, giving users the ability to understand and modify the AI's actions, though audit trails and run tracing are not documented as features, Sequoia podcast coverage retrieved 2026-07-08	Partial
Memory & State PersistenceRetaining the full conversational context of every customer relationship is the product thesis, with living records that stay perpetually current and a context graph replacing compressed legacy data, Sequoia and Bessemer coverage and folk review retrieved 2026-07-08	Full
Deployment & Data ResidencyDelivered as cloud SaaS with no self hosted or residency options documented on retrieved pages, day.ai and coverage retrieved 2026-07-08	Unable to verify
Prebuilt Agents, Templates & PacksThe product ships as a complete prebuilt system: meeting assistant, CRM, knowledge base, and a customer named AI assistant working out of the box, consistent with the prebuilt vertical product scoring precedent, Upstarts coverage and KITRUM profile retrieved 2026-07-08	Full
Triggers & Channel CoverageCapture happens automatically across meetings, email, and messaging as work occurs, and the assistant proactively prompts owners when commitments come due, coverage and folk review retrieved 2026-07-08	Full
Model Flexibility & RoutingNo customer model choice or routing is documented on retrieved pages, day.ai and coverage retrieved 2026-07-08	Unable to verify
APIs, SDKs & MCP ExtensibilityA public SDK for custom integrations is described as planned rather than shipped, and no current developer API or MCP surface is documented, startup profile retrieved 2026-07-08	Unable to verify
Testing, Debugging & OptimizationNo testing, evaluation, or optimization tooling is documented on retrieved pages, day.ai and coverage retrieved 2026-07-08	Unable to verify
Browser & Computer UseNo browser or computer use capability is described on retrieved pages, day.ai and coverage retrieved 2026-07-08	Unable to verify

Recent platform changes

No recent material changes tracked yet.

View all changes for Day AI →

Pricing

Pricing page exists but rates were not retrievable; third party estimates conflict, from about thirty dollars per user per month to custom pricing above one hundred dollars per user

per user subscription per conflicting third party estimates; official structure not retrieved

Contact onlyMedium variable cost

What is public

Day AI maintains a pricing page at day.ai/pricing whose contents were not retrievable this session. Two third party sources give conflicting figures: a preview tier plus a pro tier from about thirty dollars per user per month in one review, and custom pricing typically starting above one hundred dollars per user in another, both recorded as labeled third party estimates.

Billing mechanics

General availability began February 2026 after invite only testing, with a product led motion described in founder interviews alongside enterprise conversations. Official billing mechanics were not retrievable.

Cost watchouts

If AI usage caps exist on lower tiers as one review claims, teams with heavy meeting volume may be pushed to higher tiers faster than seat count suggests.

Variable cost rationale

No official rates were retrievable. Third party estimates diverge widely, from a thirty dollar per user pro tier to custom contracts above one hundred dollars per user, and one review mentions usage caps on AI features during busy periods, suggesting a usage dimension beyond seats.

Additional watchouts

One third party review mentions usage limits that restrict automation during busy periods on lower tiers, worth confirming directly since automation volume is the product's core value.

Sales call required

Mixed (some tiers require a call)

Free / trial

One third party review describes a limited preview tier; not confirmed on retrieved official pages

Key ambiguities

Which third party figure reflects reality: the thirty dollar per user pro tier or the custom pricing above one hundred dollars per user, and what usage caps apply at each level.

Missing data

Official tier names, rates, usage limits, and contract terms were not retrievable from day.ai this session.

Verified 2026-07-08

Official pricing page

Data confidence: high