Revenue teams
Your CRM can't see product usage, support history, or what engineering shipped for a customer.
Agent-native CRM
Visitor ID & lead scoring
Sequences & routing
Replaces HubSpot, Attio, and standalone GTM tools
AI company OS — now in ChatGPT and Claude
CRM, engineering, and ops. One AI-native workspace.
Your CRM can't see what engineering shipped. Your sprints can't see revenue. Aexy replaces the HubSpot + Jira + Notion sprawl with one open-source company OS — where your team, your AI agents, and the assistant you already use share the same context.
Company Command Center
Live operating graph
Synced
Engineering
24 active tasks
Sprint, backlog, releases, velocity
GTM
18 hot accounts
Visitor ID, scoring, routing, ABM
People
7 growth plans
Hiring, reviews, learning, leave
Knowledge
1,284 indexed docs
Docs, Drive, graph, MCP tools
Sales agent routed a high-intent account
Checked policy, enriched CRM, created task, notified Slack.
Open source and self-hostable
AI-native workflows and agents
Built for company-wide context
Designed to replace SaaS sprawl
Who is Aexy for
Pick your team. Start where it hurts most.
You don't adopt a company OS in one day. Start with the workflow your team is fighting today, then expand into the shared operating layer.
Engineering teams
Sprints, tickets, and releases live in trackers that know nothing about customers or revenue.
Sprint lifecycle & tasks
GitHub sync & analytics
Release readiness
Replaces Jira, Linear, and disconnected trackers
Founders & operations
Docs, workflows, hiring, and reporting are scattered across a dozen subscriptions nobody reconciles.
Docs & knowledge graph
Workflows & approvals
Hiring & reviews
Replaces Notion, Zapier, and HR point tools
Platform
One operating layer for the work, customers, people, and knowledge behind your company.
Aexy is not another point solution. It connects the systems companies normally buy separately, then gives AI agents governed access to that shared context.
Engineering
Build
Sprints, tasks, GitHub/Jira/Linear sync, analytics, releases, uptime, and engineering reviews.
Sprint lifecycle
Commit & PR auto-linking
Developer insights
Release readiness
Revenue
Sell
CRM, GTM intelligence, visitor identification, lead scoring, sequences, routing, and customer health.
Schema-less CRM
Visitor ID
Lead scoring
Expansion playbooks
Workflows
Operate
Automations, visual workflows, tickets, forms, reminders, approvals, and operational handoffs.
No-code triggers
Branching workflows
Alert → ticket automation
Audit trails
People
Grow
Hiring, assessments, performance reviews, learning paths, compliance, leave, and team development.
360 reviews
AI assessments
Learning paths
Skill gaps
Knowledge
Know
Docs, Drive, AI metadata, knowledge graph, MCP tools, custom tables, and company-wide reporting.
Rich docs
AI metadata
Knowledge graph
MCP tools
AI agents that understand your company context.
Aexy agents can read CRM history, draft emails, enrich accounts, update records, call workflows, and escalate to humans through policy gates.
Tool access
CRM, email, enrichment, Slack, workflows, docs, and company records.
Policy gates
Require approval, block tools, restrict fields, rate-limit actions, and cap spend.
Automation hooks
Invoke agents when a lead replies, a deal changes, a ticket arrives, or a workflow branches.
Audit history
Every run, tool call, policy decision, and config change is visible.
Model Context Protocol
Already using ChatGPT? Point it at your company.
Aexy speaks MCP, so the assistant you already pay for can work inside your workspace — moving tickets, updating deals, reading sprints, drafting from real context — instead of you copying it into a chat window and pasting the answer back.
The assistant you already have
ChatGPT connects over HTTP. Claude Code, Claude Desktop, Cursor, VS Code and Codex run the server locally. Nothing new to learn.
It does the work, not just the reading
Move a task to In Review and assign it. Create a deal. Log a ticket. Query analytics. Not a chatbot bolted onto a search box.
Sign in, don't paste a key
ChatGPT registers itself and sends you to a consent screen where you pick one workspace. No API key to mint, store, or forget about.
You can take it back
Every connector is listed with the workspace it reaches and when it last ran. Revoking cuts it off immediately — it cannot quietly reconnect.
Your assistant
Connected to Aexy over MCP
Connected
Move the auth refresh bug to In Review and assign it to Priya.
aexy_sprints · bulk_update_statusaexy_sprints · assign_task
Done — moved to In Review and assigned to Priya.
Sprint 24 boardupdated just now
Todo
Rate-limit the webhook retry
In Progress
Backfill workspace slugs
In Review
Auth refresh drops the session
PPriya
Why Aexy
Start with one workflow. Grow into one company OS.
1
Replace disconnected Jira, CRM, docs, HR, and workflow tools with one connected operating layer.
2
Give AI agents governed access to CRM records, email, Slack, docs, workflows, and business context.
3
Connect engineering delivery, GTM execution, people growth, and company knowledge in one workspace.
Compare
Already using Jira, HubSpot, or Notion?
Aexy replaces point tools one workflow at a time. See exactly what you gain — and what changes — against the tool your team uses today.
Aexy vs Jira
Project tracking that also understands customers, docs, and AI agents.
Aexy vs Linear
Fast issue tracking, plus the rest of the company OS around it.
Aexy vs HubSpot
CRM and GTM without per-seat sprawl — open source and agent-native.
Aexy vs Salesforce
CRM depth for growing teams without the implementation tax.
Aexy vs Attio
A flexible CRM data model, connected to engineering and workflows.
Aexy vs Notion
Docs and knowledge with real structure — plus workflows that act.
Transparent by design. Flexible by default.
Aexy is open source and self-hostable, with exportable data and auditable logic. Use cloud to move fast or run it on your own infrastructure.
Self-host free
Run the full OS on your own infrastructure at no cost.
AGPL-3.0 licensed
The entire codebase is public — read how every feature works.
Data export
Your records, docs, and workflows are exportable, always.
Commercial cloud
Managed hosting when you want speed over ops.
Explore
Start with the highest-leverage workflow.
Aexy is broad by design, but adoption does not need to be. Start with agents, GTM, CRM, docs, or company-OS strategy, then expand into the shared operating layer.
AI Agents
Governed agents for CRM, email, workflows, and company context.
MCP Server
Run Aexy from ChatGPT, Claude, Cursor, or Codex over the Model Context Protocol.
GTM Intelligence
Visitor identification, lead scoring, routing, sequences, and expansion.
CRM
A flexible CRM that humans and AI agents can operate together.
Company OS
The category page for Aexy's operating-system approach.
Docs
Architecture, module guides, APIs, and implementation proof.
Pricing
Self-host free, use cloud for speed, scale with enterprise controls.
FAQ
Questions companies ask before replacing the stack.
What is an AI company operating system?
An AI company operating system is one workspace where core company data, workflows, and AI agents share context across teams instead of living in disconnected SaaS tools.
Can Aexy replace our CRM?
Aexy includes a custom-object CRM with contacts, companies, deals, activities, email sync, automations, and GTM intelligence. Teams can start with CRM and expand into engineering, docs, workflows, and people operations.
Can Aexy be self-hosted?
Yes. Aexy is open source and self-hostable, with a cloud option for teams that want managed infrastructure.
How do Aexy AI agents work?
Aexy agents run inside governed company context. They can use approved tools such as CRM records, email, enrichment, Slack, workflows, and docs, with policy gates, approvals, and audit history.
Can I use Aexy from ChatGPT or Claude?
Yes. Aexy ships an MCP server, so ChatGPT, Claude Desktop, Claude Code, Cursor, VS Code and Codex can work inside your workspace directly — reading sprints, moving tickets, updating CRM records, querying analytics. ChatGPT connects over a remote HTTP endpoint with OAuth: it registers itself, you approve one workspace on a consent screen, and the access it gets is scoped to you in that workspace and revocable at any time under Settings → Connected Apps.
How is Aexy different from Jira or Linear for engineering teams?
Jira and Linear track issues in isolation. Aexy covers sprints, tasks, GitHub sync, and delivery analytics — connected to CRM, docs, and workflows in the same workspace, so planning reflects customer commitments and AI agents can act across all of it.
How does Aexy compare to HubSpot or Attio for revenue teams?
Like HubSpot and Attio, Aexy includes a schema-flexible CRM with visitor identification, lead scoring, sequences, and routing. Unlike them, it is open source, self-hostable, and agent-native — and the CRM shares context with engineering and operations instead of living in a silo.
Run the company from one AI workspace.
Bring engineering, GTM, people, knowledge, and AI agents into the same operating system.