Day AI
A context graph and agent control plane for go-to-market teams.
What is Day AI?
Day AI is a go-to-market platform built around a company context graph and an agent control plane. It is designed to help teams securely use shared business context across sales, customer success, support, and related operations.
Its Customer Memory product is an LLM-optimized ontology built from permissioned ingestion of team email, calendars, meetings, and Slack. The company positions that graph as a central context layer that users control.
Day AI also organizes agents with names, job descriptions, titles, and an org-chart-style relationship to team members. The platform describes agents that can act proactively after company events, on a schedule, or in response to a user request.
The product is aimed at go-to-market teams that want agents to work from shared company context while retaining oversight. Its audit-oriented description says the trail records what ran and that outbound actions require approval.
Day AI is relevant to revenue, sales, customer-success, and support leaders building agent-assisted operations. Public pricing was not verified from the official site.
Day AI Features
Company context graph
Day AI provides a central context graph for go-to-market work. Its Customer Memory layer ingests permissioned team information from email, calendar, meetings, and Slack into an LLM-oriented ontology that the company says users control.
Agents with team roles
Day AI organizes agents with named roles, job descriptions, and titles. The company describes agents that work proactively after company events, on a schedule, or whenever a team member asks, with each agent reporting to someone on the team.
Approval-aware operating model
Day AI presents its agent layer as an operating model where actions can be traced and reviewed. Its product page describes an audit trail for agent runs and says nothing is sent without approval, which can suit teams that need visibility into agent-led work.
Pricing
Pricing not verified
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