Modem is the AI product manager for teams that ship.
Modem is an AI product management tool built for teams that ship: it collects signal from support, chat, sales calls, and code, stitches scattered reports into a ranked backlog, and routes each topic to whoever can act on it.
Slack
now
csv export broken again??
Intercom
2m
New conversation: export times out
GitHub
9m
#2210 Export 504s over 10k rows
Linear
1h
Customer escalation: exports
Ask a follow-up
"which customers hit this most?"
Pull a report
impact by plan and segment
Set up an automation
recurring: watch for regressions
Implement the fix
ENG-318 assigned, loop closes
Modem
4 sources · 23 reports
CSV exports failing — routed, ENG-318
Book Demo
See how we transform cross-platform information into insights that drive product execution.
Deciding what to build, with and without Modem
| Without Modem | With Modem | |
|---|---|---|
| What to build next | Guesswork and gut feel | Ranked with complete visibility |
| Feedback triage | Read thread by thread | Grouped and deduped automatically |
| Customer context | Summarized secondhand | Quotes attached to each item |
| Signal to ship | Lost in handoffs | Routed to the engineer who acts on it |
| Closing the loop | Falls through the cracks | Everyone who asked hears back |
| Product answers | Dig through scattered threads | Constantly monitored, surfaced automatically |
Modem works with your whole stack.
Support, chat, analytics, code. One triaged feed.
Zendesk
Intercom
Jira Service Desk
Slack
Discord
Microsoft Teams
Email
Gong
Linear
Jira
Notion
GitHub
GitLab
Stripe
Salesforce
PostHog
Sentry
Cursor
Devin
Claude CodeX, Fathom, Amplitude, Mixpanel coming soon.
What is an AI product manager?
An AI product manager is software that takes over the repetitive layer of product management: triaging incoming feedback, synthesizing it into themes, prioritizing what matters, and following up once work ships. Modem is an AI product manager that ingests signals from Slack, Discord, support tickets, sales calls, and issues, builds a context graph of topics, customers, and quotes, files tickets with the original quotes attached, delegates fixes to coding agents over MCP, and closes the loop with the people who asked.
People call this an AI product management tool. Teams adopt one to automate product management busywork, not the judgment calls. See how Modem compares to a teammate-style AI product manager or an AI agent built for product execution.
See the full list of sources Modem connects to, or read how to route customer feedback to coding agents.
How an AI product management tool works
Every AI product manager does some version of these four steps. This is how Modem does them, and how it automates product management without cutting people out of the decisions.
- 1
Triage
Every new report from every connected source is classified and clustered on arrival, so nothing sits unread in a channel or inbox. See how Modem does AI feedback triage.
- 2
Synthesis
Duplicate reports of the same problem merge into one topic, with the original quotes and the people who raised them attached.
- 3
Prioritization
Topics rank by how often and by whom they are raised, so the list of what to build next reflects demand, not the loudest thread.
- 4
Follow-up
When a fix ships, Modem matches the merged work back to the topic and tells you who asked for it, so the loop closes.
Who uses Modem as their AI product manager
Product-minded engineers
Anyone who wears the product hat part-time and needs the backlog prioritized without doing the reading themselves.
Small product teams
One or two PMs covering surface area that used to need a bigger team, without dropping customer context.
Devtools and B2B SaaS
Technical buyers who report bugs precisely across Slack, Discord, and support, and expect a fast, specific follow-up.
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
Product
I'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
Not just an agent – a multiplayer platform
Questions about Modem as an AI product manager
What is an AI product management tool?
An AI product management tool is software that automates the repetitive parts of product management: reading incoming feedback, grouping it into topics, ranking it, and routing it to whoever can act. Modem is one, built to ingest signals from every source your customers use and hand engineers a prioritized, quoted list of what to build next.
Can an AI product manager replace a PM?
No. Modem handles the triage, synthesis, and follow-up layer: reading everything, grouping it, ranking it, filing tickets, and closing the loop when work ships. Deciding strategy, setting roadmap priorities against business goals, and making judgment calls between competing bets stays with people.
How is this different from a support inbox or helpdesk tool?
A helpdesk tool manages individual customer conversations. Modem looks across Slack, Discord, support, sales calls, and issues at once, and clusters what different customers are saying about the same underlying problem into one topic with the product team, not the support queue, as the audience.
Does it work with my coding agent?
Yes. Modem delegates tasks to Claude Code, Cursor, and Devin over MCP. Each task arrives with the relevant bug reports and customer quotes attached, and finished work comes back as a PR matched to the topic it resolved.
What counts as a signal source?
Slack, Discord, Zendesk, Intercom, Jira, GitHub issues, sales calls, and email are live today. Everything a customer or teammate says about the product in a connected source becomes part of the same context graph.
Close the product gap
