One operating layer for your company and its AI agents.
Aexy connects engineering, CRM, GTM, people, docs, workflows, and AI agents in one open-source workspace so company context does not get trapped across tools.
Open source
Inspect, self-host, and extend the operating layer.
Agent governed
Tool access, approvals, budgets, and audit history.
Company-wide
Engineering, revenue, people, operations, and knowledge together.
What Aexy brings into one OS
Most companies buy these workflows separately. Aexy makes them part of the same system so humans and AI agents act with the same context.
Engineering
Sprints, tasks, releases, tickets, developer insights, reviews, uptime.
Revenue
CRM, GTM intelligence, visitor identification, lead scoring, sequences, routing.
Operations
Forms, workflows, automations, reminders, approvals, notifications, handoffs.
People
Hiring, assessments, learning paths, performance reviews, leave, compliance.
Knowledge
Docs, Drive, AI metadata, knowledge graph, MCP tools, reporting.
AI Agents
Policy-controlled agents with CRM, email, Slack, enrichment, docs, and workflow tools.
Not a black-box AI wrapper.
Aexy is designed for teams that need control: self-hosting, visible docs, API-driven modules, permissions, policy decisions, and auditable agent execution.
AI company OS FAQs
Is Aexy a CRM?
Aexy includes CRM, but it is broader than a CRM. CRM records connect to GTM, email, docs, tasks, workflows, and AI agents.
Is Aexy only for engineering teams?
Aexy has a strong engineering foundation, but the company OS direction connects engineering with revenue, people, operations, and knowledge.
Why open source?
Open source makes the operating layer auditable. Teams can inspect how workflows, permissions, metrics, and agent policies work.
What makes Aexy different from generic AI OS tools?
Aexy is a real product surface with concrete modules, docs, custom objects, workflow automation, and governed agents rather than only a prompt-to-app concept.