How much does Day AI cost?

Day AI publishes four tiers priced per agent: Free at $0 with Gmail and Calendar ingestion, meeting recording and search, Turbo at $24 a month with two automated skill slots, Professional at $60 with five and pipeline management, and Executive at $200 with ten and prospecting. Annual billing is 20% off, volume discounts start at 21 agents, and every tier is self serve (day.ai/pricing, read 1 October 2026).

What are the best alternatives to Day AI?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Day AI among GTM and revenue agents are Lawmatics, UserGems, Otter.ai, Unify. Each is graded on the same public evidence, and no vendor pays for placement.

Does Day AI support MCP and tool calling?

Full under the Agentic Index verification standard. Day AI publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: Day AI publishes an open SDK at github.com/day-ai/day-ai-sdk with an importable client, OAuth handling, a full MCP client and three production-ready templates covering Electron desktop, React Native mobile and Vercel serverless, and the sit. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Day AI have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Day AI publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: The trust center offers a SOC 2 Type II report to customers and prospects under NDA through a request form, and the vendor describes a maintained information security program. It also names its controls, which cover encryption of data at re. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Day AI require human approval before an agent acts?

Full under the Agentic Index verification standard. Day AI publishes public evidence of human approval steps and guardrails, so an agent action can be held for review before it executes. Evidence basis: A workspace setting requires a person's approval before the agent pushes data to an external CRM, shown in the product as the agent asking before it pushes to HubSpot, and outbound email is drafted for a person to send. That approval is des. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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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 2026-10-01

Entry priceFree · Turbo $24 per agent a month · Professional $60 · Executive $200 · 20% off annualFull pricing detail

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.

Day AI is an AI-native CRM founded in 2023 by Christopher O'Donnell, HubSpot's former chief product officer who led the team that built HubSpot CRM, and Michael Pici, another HubSpot product veteran. 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 reached general availability with roughly a hundred and twenty customers after more than a year of private testing.

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 across video meetings, email and Slack and builds the record automatically: contacts, companies, opportunities, notes and action items structured from real dialogue, with pipeline populated without manual entry. A context graph spans Google Workspace, Zoom, Meet, Teams and Slack and answers natural-language questions about customer history, and Customer Memory keeps what was said, promised and decided available across the relationship rather than flattened into fields.

An 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. Drafts stop for a person to edit and send, and the company added override controls such as manual opportunity creation after customers asked for fingers lightly on the wheel. Meeting assistant, CRM and knowledge base ship as one product, positioned to replace legacy CRM at startups or layer onto scaling companies.

For developers, Day AI is unusually open for its stage. It publishes an MCP server with OAuth that puts more than twenty CRM tools inside Claude, Cursor and Claude Code, is listed in the Claude connector directory, and ships an open SDK on GitHub with production templates for desktop, mobile and serverless apps, alongside a second public repository for operations work.

A trust center documents SOC 2 Type II available under NDA, encryption at rest and in transit, access controls, a subprocessor list and a data processing addendum. Day AI fits revenue and product teams who want the customer voice on demand without data entry; it is a weaker fit for teams needing data residency choices, a choice of underlying model, or heavy outbound tooling.

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 Google Workspace, Zoom, Meet, Teams, Slack and Gmail, and Salesforce and Gong named as sources. A hubspot.sync tool pushes contacts, companies and deals into HubSpot once a person approves, emails are drafted for a person to send, and Zapier reaches systems without a native connector. Outward extensibility is strong: a documented MCP server at day.ai/api/mcp with OAuth, a Claude directory listing, install paths for Cursor and Claude Code, more than twenty tools, and an open SDK on GitHub with desktop, mobile and serverless templates.

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 https://day.ai/trust https://day.ai/mcp https://github.com/day-ai/day-ai-sdk https://github.com/day-ai/gtm-brain

Research sources

https://day.ai/ https://day.ai/product https://day.ai/mcp https://day.ai/trust https://github.com/day-ai/day-ai-sdk https://day.ai/data

Agentic Index coverage score

9.0 / 14 capabilities · 64%

Integrations & Tool Calling	Full
The agents write into outside systems as well as reading from them: a hubspot.sync tool pushes contact, company and deal data into HubSpot once a person approves, Salesforce, Gong, Gmail, Calendar, Slack and Zoom are named sources, and Zapier gives a route to systems Day AI has no connector for. Sourceday.ai/productread 2026-10-01
Workflow Orchestration	Full
Every agent can create and run workflows, and reusable skills such as an objection handling coach are deployed across many agents at once, so multi step work runs on a structure the customer configures rather than one prompt at a time. Sourceday.ai/productread 2026-10-01
Knowledge Grounding & RAG	Full
The context graph is built over the customer's own record. It holds meeting recordings and transcripts, email threads, opportunities, enrichment and quotes with enterprise level permissioning, and it answers natural language questions across them, such as every demo the team ran this week. Sourceday.ai/productread 2026-10-01
Human Oversight & Guardrails	Full
A workspace setting requires a person's approval before the agent pushes data to an external CRM, shown in the product as the agent asking before it pushes to HubSpot, and outbound email is drafted for a person to send. That approval is described as product behavior, and no settings reference documents it. Sourceday.ai/productread 2026-10-01
Security, Identity & Governance	Full
The trust center offers a SOC 2 Type II report to customers and prospects under NDA through a request form, and the vendor describes a maintained information security program. It also names its controls, which cover encryption of data at rest and in transit, access controls, a published subprocessor list, a data policy covering retention, location and deletion, and a signable data processing addendum, alongside terms and an acceptable use policy. Customer-facing access control is documented separately on the MCP page, where data access follows workspace role, capabilities follow the paid agent tier, and a customer can revoke a connected agent's tokens from workspace settings. Sourceday.ai/trust and day.ai/mcpread 2026-09-01
Observability & Auditability	Partial
Day AI states an audit but documents no surface around it. It says records created, updated and managed through its MCP server have all changes tracked and audited, and the product is built so a person can see what the agent wrote and override it. No run history, activity log view, decision trace or retention period for the audit is documented, and the statement covers the MCP path rather than the automatic capture that writes most of the record, which matters because the agent writing the system of record unattended is the product. Sourceday.ai/mcp and day.ai/productread 2026-09-01
Memory & State Persistence	Full
Day AI names the memory layer: it publishes Customer Memory as a product surface in its own navigation, and the company's premise is that the full conversational record persists rather than being compressed into CRM fields. What was said, promised and decided stays available across meetings, email and Slack, and the assistant reads it back to track commitments and prompt owners when timing matters. Scope is the customer relationship and is addressable through natural language and through MCP tools that reach meeting transcripts and objects; lifetime is governed by the published data policy covering retention and deletion. The context graph is what the agent retrieves to answer, while Customer Memory is what persists between engagements. Sourceday.ai/product Customer Memory and day.ai/dataread 2026-09-01
Deployment & Data Residency	Not documented
Cloud only, with nothing the customer selects. No region choice, VPC, private tenancy, self-hosted or on-premises option is published. The published data policy covers how long data is retained and how it is stored, handled and deleted. Where customer data is hosted is not published. Sourceday.ai/trust, day.ai/data and day.ai/mcpread 2026-09-01
Prebuilt Agents, Templates & Packs	Partial
One assistant, not a set. Day AI ships a single AI assistant that each customer names for itself, and the CRM, meeting assistant and knowledge base arrive as one product, with no catalog, template gallery or named set of prebuilt agents published. What it does offer is developer-shaped: the SDK ships three production-ready templates for desktop, mobile and serverless applications, and a second public repository, the Operations Harness, is offered for adoption. Sourceday.ai/mcp SDK templates and day.ai/productread 2026-09-01
Triggers & Channel Coverage	Full
Work starts without a person asking: workflows run on schedules, such as a daily 9:00 run, and on event triggers, and capture runs on meetings, email, Slack messages, calendar events and call completion as they happen. Sourceday.ai/productread 2026-10-01
Model Flexibility & Routing	Not documented
Which models power the agents is not published, and no customer model choice is documented among the agents, workflows, skills, memory, MCP and SDK the product describes. Sourceday.ai/productread 2026-10-01
APIs, SDKs & MCP Extensibility	Full
Day AI publishes an open SDK at github.com/day-ai/day-ai-sdk with an importable client, OAuth handling, a full MCP client and three production-ready templates covering Electron desktop, React Native mobile and Vercel serverless, and the site footer links it as API and SDK alongside a second public repository, the Operations Harness at github.com/day-ai/gtm-brain. Beside it runs a documented MCP server at day.ai/api/mcp over HTTP with OAuth 2.0, install paths for Claude, Cursor and Claude Code, a listing in the Claude connector directory, and more than twenty tools spanning object search, contact and opportunity creation, meeting transcript access, email drafting and notifications, with permissions inherited from agent tier and workspace role and tokens revocable from workspace settings. Sourceday.ai/mcp and github.com/day-ai/day-ai-sdkread 2026-09-01
Testing, Debugging & Optimization	Not documented
Alongside its agents, workflows, skills, memory, MCP and SDK, the product documents no testing or evaluation tooling for agents. Sourceday.ai/productread 2026-10-01
Browser & Computer Use	Not documented
Browser or computer control is not part of what the product documents, which covers agents, workflows, skills, memory, MCP and the SDK. Sourceday.ai/productread 2026-10-01

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Recent platform changes

2026-09-22·Agent capabilityVerified

Day AI adds a widget system for dashboards built by its agents, including stat tiles, bar lists, heat matrices, and formatted tables. Users can open the underlying records from live widgets and previously generated charts, while invalid custom property references are rejected when a widget is saved. The same release lets workspace admins change member roles and remove members through chat.

Bears on: Observability / auditability

View source

2026-07-21·MCP / tool calling / APIVerified

Day AI introduced Model Context Protocol (MCP) support, enabling the platform to function as a context server. This capability allows users to query Day AI's real-time customer graph directly from external MCP clients, such as Claude Desktop and Claude Code, without needing to open the CRM interface. The release also highlighted the expanded functionality of agent Skills, which execute recurring or trigger-based background tasks like drafting meeting follow-ups and sending pipeline summaries.

Bears on: MCP / tool calling / API

View source

View all 2 changes for Day AI →Tracked since Jul 2026 · Verified from public vendor sources

Pricing

Free · Turbo $24 per agent a month · Professional $60 · Executive $200 · 20% off annual

per agent per month, by tier of automated skill slots

Free tier

What is public

Day AI publishes four tiers priced per agent: Free, Turbo $24, Professional $60 and Executive $200 a month, with 20% off annual billing and automatic volume discounts.

Billing mechanics

Self serve signup on every tier; upgrade or downgrade any time, cancel any time, annual billing 20% off.

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

Cost scales with the number of agents and the tier of each; the skill slot cap per tier is the limit on automation.

Additional watchouts

Automated skill slots are capped per tier, two on Turbo and five on Professional.

Overage / add-ons

Tiers cap automated skill slots per agent; more automation means a higher tier. Volume discounts run from 10% at 21 to 50 agents up to 50% at more than 300.

Sales call required

No, self serve available

Free / trial

Free tier at $0

Lowest paid plan

Turbo $24 per agent a month

Key ambiguities

Prices are per agent, so the cost of a team depends on how many agents it runs and at which tier.

Missing data

No overage price for extra skill slots is published.

Agentic Index verified 2026-10-01

Official pricing page

Related vendors

Alternatives to Day AI

The closest documented capability profiles to Day AI among GTM and revenue agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Lawmatics7.0 / 14A lighter documented profile than Day AI
UserGems8.0 / 14Fuller documented coverage on Integrations & Tool Calling
Otter.ai8.5 / 14Fuller documented coverage on Integrations & Tool Calling and Prebuilt Agents, Templates & Packs
Unify8.5 / 14Adds documented Model Flexibility & Routing and Testing, Debugging & Optimization
Alta8.0 / 14Adds documented Deployment & Data Residency
Common Room9.0 / 14Adds documented Testing, Debugging & Optimization

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Day AI with other vendors →Compare all GTM and revenue agents →See where Day AI ranks →

Data confidence: high

Head to head

Day AI vs HubSpot Day AI vs Rox