Day AI

Day AI is presented as a context graph and agent control plane for go-to-market (GTM) work. Its Customer Memory context graph is described as an LLM-optimized ontology built from automatically permissioned ingestion of a team's email, calendar, meetings, and Slack, controlled centrally by the customer. The page also describes a roster of named AI agents, each with a job, skills, and a reporting line to a team member, with an audit trail of what ran and approval required before anything goes out. The page includes a sample comparison claiming 2.1x faster, 1.9x fewer tokens, and 2.6x cheaper results with the context graph versus without, plus customer testimonials and a '400+ others' trusted-by claim. Pricing is linked from navigation but no plan details are shown in the page text.

Key features

• Context graph (Customer Memory) built from automatically permissioned ingestion of email, calendar, meetings, and Slack
• Multiplayer ingestion and permissioning
• Customizable and extensible context graph
• Agents with names, job descriptions, and titles that report to a team member
• Proactive, scheduled, or on-request agent work triggered by company events
• Skills per agent, such as morning briefing, inbox triage, deal risk flag, and stale deal nudge
• Audit trail of agent activity with approval required before outgoing actions
• Versioned, orchestrated agent deployment
• Self-improvement loops that incorporate feedback
• Connectors to tools such as Slack, Gong, Gmail, API, and Snowflake
• Claude connection and MCP availability referenced on the page

Best suited for

• Go-to-market teams such as sales, customer success, and support
• Revenue operations and GTM strategy teams building shared company context
• Teams wanting AI agents that handle post-meeting and inbox tasks with human approval

Pricing

Not stated on the website