User feedback, in one place.
Matome ingests raw feedback from your users and clusters it into ranked, summarised issues — so your team can focus on what to fix, not what to read. Resolve issues, then close the loop by informing users who reported them.
- 1 endpoint
- to integrate
- ~2s
- to cluster
- 100%
- of reports kept
Trusted by teams at
- Aperture Science
- Vault-Tec
- Umbrella Corp
- Shinra Electric Power Company
How it works
A single request, to an organised backlog of real issues.
1. Collect
A single, simple API to capture feedback at the source. Let users submit bugs, tickets, and messages directly in your app via one universal endpoint.
2. Cluster
Reports are analysed and grouped into issues automatically. Duplicates merged. Spam ignored. A detailed understanding of issues.
3. Close
Turn insights into action. Triage issues, deploy fixes, and notify users instantly. Close the loop from your dashboard or pipe tasks straight into Slack.
The dashboard
See what your users are actually saying — at a glance.
Volume, trends, top clusters, and regressions side by side. Open any issue to read the underlying reports verbatim.
Clustering
Hundreds of reports collapse into a handful of issues.
Matome embeds every report and groups semantically similar ones into a single issue with a written summary, affected platforms, and the raw reports kept intact for context.
- Duplicates merge automatically — no manual triage
- Open any cluster to read every original report
- Cluster titles and summaries written by AI, editable by you
- Re-clusters as new patterns emerge
Alerts
Hear about regressions before your users do.
Set spike thresholds and new-cluster triggers per workspace. The moment a cluster crosses the line, Matome pings Slack or email with the summary, volume, and a link straight to the issue.
- Spike alerts when an existing cluster grows fast
- New-cluster alerts the first time a pattern emerges
- Slack and email delivery, per-channel routing
- Quiet hours and per-cluster snooze
Volume & trend per issue
See which clusters are growing, which are fading, and where regressions just landed.
Alerts that matter
Spike thresholds and new-cluster notifications, delivered to Slack or email — not your inbox graveyard.
Yours, end to end
Row-level security, encryption at rest, and a clean export. Your feedback never trains anyone else's model.
Security & privacy
Your users' words stay your users' words.
Feedback is sensitive. We treat it that way — encrypted in transit and at rest, isolated per workspace, and never used to train shared models.
Encrypted end to end
TLS in transit, AES-256 at rest. Nothing leaves your workspace in the clear.
Isolated by workspace
Row-level security on every query. Your data is never co-mingled with anyone else's.
Never trains shared models
We don’t sell, share, or use your feedback to train models for other customers.