The AI product teammate for teams that ship
Modem remembers every customer conversation, surfaces trends before you ask, and works inside Slack, Linear, Discord, and your coding agents, so what customers need never depends on one person's memory.
See it on your own data.
Because coding isn't the slow part
Teams are still spending too many cycles chasing down feedback, curating their backlog, and following up with users. Tedious work often done by a single person who holds all the context and bottlenecks execution. Modem fixes that.
Build what's actually important
Every bug report, every feature request, automatically clustered and prioritized
Unified company & user profiles to understand who matters and who can wait
Spot emerging trends before they become fires
New ConversationWhat are the biggest issues my customers are facing?
Here are three conversations from this week with lots of activity and high priority customers:
High
High
Medium
ProductI've been encountering frequent timeout errors when trying to search in the web app
@modem can you make a ticket for this, include any other relevant conversations, and assign me?
Done! This problem has been mentioned by two external customers as well. I've included a rollup in the ticket.
Timeout issues when searching in web app
Issue ENG-2831 in Linear
Multiple customers have reported timeout errors when searching in the web app. Here is...
Act on problems you didn't know you had
Get alerted to user concerns as they happen, not days later
Create detailed tickets automatically or straight from chat
Delegate tasks to coding agents with the context they need to be successful
Close the loop at scale
Notify customers when their requests ship
Generate user-tailored release notes from GitHub PRs and Linear tickets
Automate personalized recurring digests, triage reports, and more in plain English
New ConversationCan you send our customers release notes every Monday at 9am based on what we've merged?
I created a scheduled task to post release notesfor your customers based on your team's Github and Linear history:
Post Release Notes
Every Monday at 9am PT
Would you like me to ask you first with the notes for approval?
Not just an agent – a multiplayer platform
Built on a real-time discussion graph
Long-term memory sourced from user and team discussions
No tagging, no triaging — it just organizes itself
Semantic search that finds what you mean, not just what you type
What an AI product teammate is
An AI product teammate is software that holds the same context a human teammate would: it remembers what customers said, follows up without being asked, and works inside the tools your team already uses. Modem is an AI product teammate that reads Slack, Discord, support tickets, sales calls, and issues, builds a context graph linking topics, customers, and the original quotes, and acts on it, filing tickets, delegating fixes to coding agents over MCP, and closing the loop with whoever reported the problem.
Persistent memory
Every customer conversation stays linked to the topic it belongs to, so the agent brings the full history into every decision instead of starting over.
Proactive
Modem surfaces trends and drafts follow-up before anyone asks, instead of waiting for a question.
Works where the team works
It posts and takes action in Slack, Linear, and Discord, and hands tasks to coding agents like Claude Code, Cursor, and Devin over MCP.
A custom context graph for your product
Modem reads your sources and turns them into a graph your agents can query directly.
Signals pulled in continuously from Slack, Discord, tickets, sales calls, GitHub, and email
Agents answer from the graph instead of re-reading raw threads, so runs burn fewer tokens
Answers arrive grounded, with the original customer quotes attached
How Modem works as your product teammate
- 1
Signals come in continuously
Slack threads, Discord messages, support tickets, sales call notes, and GitHub issues get captured as they happen, not on a schedule.
- 2
A context graph forms
Topics, customers, and companies get linked across sources, with the original quotes attached so nothing gets paraphrased away.
- 3
Trends surface on their own
When a topic gains volume or a high-value customer raises something new, Modem flags it instead of waiting for someone to go looking.
- 4
Agents plug in over MCP
Claude Code, Cursor, Devin, and anything else speaking MCP query the graph directly, so a task arrives with the customer context attached instead of a raw thread dump. See the guide on giving Claude Code customer context.
Who uses an AI product teammate
Modem fits teams where one person is not the sole keeper of customer context, and everyone building the product needs the same picture.
Product-minded engineers
Engineers who triage their own bug reports and want the customer story attached before they start work.
Small product teams
Teams without a dedicated ops layer, where the PM and the engineers need the same picture of what customers are asking for.
Devtools and B2B SaaS teams
Teams shipping to technical users, where feedback arrives across support, Slack, and Discord instead of one inbox.
AI product teammate vs. copilot vs. feedback dashboard
Three categories, three different jobs. Here is how they compare on what a product team needs day to day.
| AI copilot | Feedback dashboard | Modem (AI product teammate) | |
|---|---|---|---|
| What it does | Answers questions when you ask them, inside a single chat session. | Collects and visualizes feedback so a person can look for patterns. | Builds a context graph from every source and acts on what it finds. |
| Memory | Forgets most of what was said once the session ends. | Keeps the raw data, but leaves connecting it across conversations to you. | Carries the full history of every customer conversation forward. |
| Initiative | Waits for a prompt before it does anything. | Waits for someone to open it and go looking. | Surfaces trends and drafts tickets before anyone asks. |
| Where it works | Lives in its own chat window, separate from where the team works. | Lives in its own tab, separate from Slack and the issue tracker. | Posts into Slack, Linear, and Discord, and hands tasks to coding agents over MCP. |
Common questions about AI product teammates
What is an AI product teammate?
An AI product teammate is software that holds the same context a person on your team would hold. It remembers what customers said, connects it across sources, and acts on it without waiting to be asked. Modem is an AI product teammate built for product and engineering teams.
How is an AI product teammate different from an AI copilot or assistant?
A copilot or assistant answers when you ask it something, and mostly forgets once the session ends. A teammate holds persistent context across every conversation and initiates. It surfaces trends, drafts tickets, and follows up on its own.
Can an AI product teammate replace a PM?
No. It handles the triage, synthesis, and follow-up layer, so context does not depend on one person holding it all in their head. Deciding what to build and why still needs a human.
What does Modem access, and how is data handled?
Modem only connects to the sources and channels you authorize, and actions that go out to a customer or change a system of record need your approval first. Modem is SOC 2 certified. See trust.modem.dev for the full security overview.
Which tools does an AI product teammate work with?
Modem connects to Slack, Discord, Microsoft Teams, support tools like Zendesk and Intercom, Linear, Jira, GitHub, and coding agents including Claude Code, Cursor, and Devin over MCP.
Close the product gap
