The content flowing through your platform is rarely what you picture. Spot emerging trends, pressure-test your moderation, and understand what's actually there.
The full picture
You know the content that fits the categories you already track, but that's a fraction of what's actually on your platform. What users are really posting and talking about is mostly a guess. Musubi's Content Atlas plots all content on your platform into a cluster map, where related content lands together and gets grouped by what it actually means, whatever the format or language it comes in.
Zoom into any cluster to see what's inside and jump straight to the decisions and policies behind it. Safety teams can check whether moderation is calling it right, and product and analytics can see what users are actually creating. Patterns that were buried in a query become something you can point at.
Early warning
When a cluster spikes with a new scam or coordinated campaign you've never named, Content Atlas flags it, surfacing what you didn't know to look for before it spreads.
Save a view, pin it, and it refreshes on live data, turning a one-time look into a live view your safety, product, and leadership teams can all work from.
Most tools like this get opened once and forgotten. These five are what earn this one a permanent tab instead.
FAQs
No. It works on top of whatever moderation pipeline you already run. It's actually the one Musubi product where you point us at your data to understand it rather than to label it, so it slots in as a layer of visibility over your existing setup instead of replacing anything.
BI dashboards and listening tools count the categories you already defined, and ours doesn't. BI dashboards are great at telling you how much of X you have, as long as you already knew to look for X. The gap is everything you didn't think to track.
Musubi's Content Atlas maps all of your content by what it actually is, then shows you what you haven't named yet, like the new abuse trend forming or the cluster your automated system is mislabeling. It's the difference between querying for answers and seeing the questions you should have been asking.
You don't have to pre-build a taxonomy. Our tool reads each piece of content against your policies or platform info and places similar things near each other, grouping by what it means and by the kind of harm it carries rather than by format or language. This means the same harm in five languages or three formats lands as one cluster instead of scattered noise. The clusters emerge from what's genuinely on your platform, which is exactly why it surfaces things a fixed category list never would. When you spot a cluster that matters, you can name it, pin it, share it, and watch it from then on.
A few things, and not all of them are strictly T&S. Safety teams use it to catch emerging harm before it goes viral and to QA whether their moderation is actually getting calls right. Teams also stand up monitoring ahead of a known risk window like an election, product launch, or major live event, so they're watching as it happens instead of reading about it after.
And product, analytics, and leadership use it to get an honest read on what users are really doing, which is often very different from the version everyone assumes. It's a shared lens, not just an enforcement tool.
Data is ingested in real time. Views are built on demand and refresh whenever you want them to, so you can always pull the current picture rather than waiting on a batch job. And if you pin a dashboard, it auto-refreshes every day, which is how teams turn a one-time look into a standing monitor they check each morning.
Yes. You can export a CSV of any cluster and its underlying content data, so the patterns you surface can move straight into a report, a spreadsheet, or whatever your team works in next.