Nothing to configure
Invite Auris to a channel, or tick a meeting. There is no step three.
For product managers, their teams and their AIÂ agents
Your next product priority is already in your meetings. Now, make the call.
Our AI agent Auris groups everything that points to the same problem, and only surfaces it once the signal is confirmed. When it's sure, it's right 99 times out of 100.
Works with the tools you already use.
- Google Calendar
- Google Meet
- Microsoft Teams
- Google Drive
- Slack
- Jira
Meetings, Slack, documents
Everything that comes in is read the same way, and keeps the link to its source.
Nothing until it comes back
A problem mentioned once stays aside. You hear about it when it settles in.
The decision stays yours
Cleansig brings the facts â where it came from, how often, since when. You decide.
Your users are already telling you what matters.
The problem was never a shortage of feedback. It's spotting what actually has value.
It's all there, in pieces
A customer call, a Slack thread, a ticket, a conversation at the end of the day. Every channel keeps part of the story, and piecing it all back together is hard.
Whoever shouts loudest gets priority
One request pushed hard in a review outranks a problem ten people raised calmly, once each. It isn't the most impactful that wins, it's the loudest.
Hard to know what really matters
Mentioned three times this week, or twenty times over six months: from memory, the two look alike. Without the trend, the frequency and the spread of channels, every trade-off is made in the dark.
- 84% of product teams worry the product they're working on will fail in its market. (Atlassian, State of Product 2026) Cleansig pins down exactly which problem to solve, so you build what your market actually wants.
- 60% of teams see their priorities overridden by an escalation from leadership. (ProductPlan, State of Product Management 2026) With Cleansig, you defend your priorities with evidence: who said it, how often, on which channels.
- 22% of teams check that the problem their customers reported actually went down. (ProductPlan, State of Product Management 2026) Cleansig tracks every problem after release and tells you whether it's really gone, so you can finally prove the impact of what you ship.
From conversation to signal.
Cleansig listens where things get said, gathers what keeps coming back, and tells you when it weighs enough to decide. The rest waits, quietly.
Capture
Auris joins your meetings and reads the channels you open to it. Nothing to copy, nothing to tag: what gets said comes in, with a link back to where it was said.
Qualify
Mentions describing the same problem group themselves. You see how often, from whom, since when. Ten seconds to call it, or park it and watch.
Decide
A signal with enough evidence behind it ships as a ticket, evidence attached. Whoever picks it up knows why it exists, without you explaining it again.
Track back
After release, Cleansig keeps listening to that exact problem. Mentions stop, it's fixed. Mentions come back, you know before your next review.
Nothing to configure. Invite Auris to a channel, or tick a meeting. There is no step three.
What you get, from your very first meeting.
Connect your calendar in the morning. By evening, today's meetings have their minutes, and what your customers said already counts toward your signals.
You listen to customers. Auris takes the notes.
Auris reads your calendar and joins your Google Meet, Zoom and Teams calls. One click leaves a meeting out. Only the audio is recorded.
Minutes that say who does what.
Key points, decisions, then every action item with an owner and a deadline, ready to share minutes after the call. Tested on hour-long meetings: 97% of decisions captured, no invented deadline or figure.
Ask. Auris finds who said it.
What customers say about imports, what deserves your week, a PRD or user stories drafted from a signal. Every answer links back to its sources.
Plug in your favorite AI agent.
Claude, ChatGPT, Cursor and Codex read your signals and quotes over MCP. Read-only, one workspace, revocable in one click.
A ticket that arrives with its evidence.
The signal lands in Jira with its quotes, its source count and its trend. Engineering knows why it exists, without another meeting.
Your minutes, filed without a thought.
Every set of minutes lands as a Google Doc in a Cleansig folder in your Drive, where your team already looks. Cleansig only sees what it files there.
And also
- PDF export of a signal or a meeting
- The full history of every signal
- The Slack channels you open to Auris
- Workspaces shared with your team
- In English and French
Your customer conversations stay yours.
What your customers tell you is confidential. Cleansig is built to keep it that way, and to keep you in control at every step.
Everything is encrypted
Your data is encrypted in transit and at rest, and your Google, Slack and Jira access is encrypted a second time on top.
No AI training. Ever.
Your data never trains an AI model, not ours and not our providers', who commit to it by contract. Our own model was trained without a single piece of customer data. And nothing is ever sold.
Your workspace only
Only members of your workspace see what's in it. No one at Cleansig can access it unless you ask.
Recording in plain sight
Our agent Auris joins your meetings under its own name, visible to everyone on the call. Only audio is recorded, and you decide which meetings it's invited to.
Only what's needed
Cleansig reads your calendar without ever writing to it, and only sees the minutes it files in your Drive. A connected AI agent can only read.
You stay in control
Delete a meeting, a signal or your account whenever you like, immediately and for good. Google, Slack, Jira or an agent disconnect in one click.
Questions about your data? Write to us and we'll get back to you.
Why not just ChatGPT, or your note-taker?
They're good tools, and they answer what you ask them. Cleansig works continuously: it listens to your meetings and channels, recognizes the same problem when it comes back, and tells you when it takes hold. Then, after you ship, it checks the problem is really gone.
| ChatGPT or Claude | Otter, Fireflies | Productboard | Cleansig | |
|---|---|---|---|---|
| Joins your Meet, Zoom and Teams calls | ChatGPT, manually, on Mac | Yes | Through another tool (Gong) | On its own, from your calendar |
| Also reads Slack and your documents | When you hand them over | Mostly meetings | Yes | Yes |
| Recognizes the same problem, said in other words | If you ask it | By keywords | By hand (filters, boards) | On its own, right 99 times out of 100 when it's sure |
| Tells you when a problem takes hold | No | On keywords, meeting by meeting | No | Once it's confirmed, not before |
| Checks after release that the problem is gone | No | No | No | Yes, from mentions before and after |
Already using Claude or ChatGPT? Keep them, and plug them into Cleansig: they read your signals and quotes, read-only. Cleansig remembers, your assistant reasons.
Comparison made in September 2026 from each tool's public documentation. Cleansig's precision measured in October 2026 on our test bench. Products change: write to us if a line is no longer accurate.
For years, I prioritized in the noise.
On my projects, the hard part was never building, even less so now that specialized AI agents exist. The hard part is deciding what to build, then holding that decision in front of every stakeholder and leadership.
It all starts with listening. You prepare workshops, run discovery in small groups around a few themes, and come out with a pile of scattered sticky notes. The conversation carries on in Slack or Teams. A few days later, in a follow-up with the run team, an operator raises three new problems. Sometimes itâs worse: an end user shows up with the solution already in mind. That noise is exactly what makes decisions so hard.
As PMs, we always end up getting organized: a matrix here, a RICE score there, two or three hypotheses, and thereâs a roadmap. Then comes defending it, and thatâs where you need facts, not instinct. âWhy this problem first?â âThe other one looks more urgent to me, a customer was complaining about it just last week.â Without evidence that traces the topic back to the very first minute, you end up overturning your convictions and weeks of investigation. And you ship solutions that only half solve the problem, sometimes not at all.
I built Cleansig so Iâd walk into those meetings not to convince, but to decide, with the evidence in hand. Every problem is traced back to the very first conversation where someone raised it, and everything pointing the same way attaches to it: a customer call, a Slack thread, a remark in a demo. The day the topic goes into the roadmap, I can defend every line: how long itâs been going on, how many people it touches, and what itâs worth to the business. And after release, I know whether the problem is really gone.
I stopped spending my days convincing people. I went back to deciding.
Your questions, before you start
Do I need to install anything?
No. Cleansig runs in your browser. You connect your Google Calendar so Auris can join your meetings, and Slack if you want it to read some channels. Nothing else to set up.
Is it free to try?
Yes. The free plan includes 4 hours of recorded meetings a month, with no credit card. Cleansig is in private beta: access is by invitation, which you can request from the sign-up page.
Do my customers see that we're recording?
Yes. Our agent Auris joins under the name âAuris · Cleansigâ, visible in the participant list. Informing participants, and getting their consent where the law requires it, is up to you.
Which video tools does it work with?
Google Meet, Zoom and Microsoft Teams. Auris finds the meeting link in your Google Calendar and joins on time. You can also record a meeting from your browser.
What exactly is a signal?
Not a one-off comment, not one more request. A signal is the same problem coming back, at different times and through different channels: a customer call, a Slack thread, a document. Cleansig follows it from the first mention to confirmation.
Does Cleansig decide for me?
No. It doesn't prioritize your roadmap, doesn't turn everything into tickets and doesn't tell you what to build. It shows you the problem clearly, with its evidence: where it comes from, how often, since when. The decision is yours.
Will I be flooded with notifications?
No. A problem mentioned once stays aside. You're only told when it takes hold, and nothing pushes you to act.
Is my data used to train an AI?
No. Your data never trains an AI model, not ours and not our providers', who commit to it by contract. Our own model, Match, was trained without a single piece of customer data. And nothing is ever sold.
You've said it before:
- âIt keeps coming back.â
- âWe've heard this before.â
- âSomething's off, but I can't put a name on it yet.â
Next time, you'll walk in with the proof.
Connect your calendar, let Auris listen to your next meetings, and watch your first signals take shape.
Get your first signal · Request a quote
- No credit card
- 4 hours of meetings free every month
- Your data never trains an AI