Free
€0/month
per workspace
Every layer, read-only, for as long as you like. Not a trial.
- All four layers
- GitHub, GitLab and Linear connectors
- Sync every 15 minutes
- Up to 3 members
- 30 days of history
Your whole company, on one screen.
Cadran connects your code, your CRM and your bank, then turns them into a single read. One tab in the morning instead of seven.
No card. GitHub and Linear connect in under two minutes.
- GitHub
- Linear
- GitLab
- Pennylane
- Qonto
- Attio
- Slack
TechSample dataLast 30 days
Live view, sample data
Last 30 days5
Five tools, no picture.
Runway sits in Qonto. Margin sits in Pennylane. Pipeline sits in Attio. Velocity is split across GitHub and Linear. Nobody holds the whole thing, and assembling it by hand costs you Monday morning.
Cadran reads all of them on a schedule and keeps one answer per question.
Four layers, one page.
Each layer answers one question a founder actually asks. Open the one you need, or read the summary across all of them.
What is the team shipping?
Available nowReads from — GitHub, GitLab, Linear
Open pull requests across GitHub and GitLab, Linear tickets in flight, commits landing on main, and whether CI is green. Review load and lead time without opening a single repository.
TechSample dataLast 30 days
It starts with the tools you already pay for.
Read-only connections, scoped to what the dashboard displays. Nothing is written back to your tools.
- GitHubLive
Pull requests, commits on main, CI status, review state
- LinearLive
Issues, teams, cycles, priority and status
- GitLabComing
Merge requests, pipelines, review state
- PennylaneComing
Revenue, cost of sales, margin, supplier invoices
- QontoComing
Cash position, net burn, runway, transactions
- AttioComing
Pipeline, deals, accounts, last touch
- SlackComing
Threads, meeting notes and the decisions inside them
PremiumCompare the plans
Ask the question. Cadran already has the answer.
The AI reads your connected tools and answers in plain language — the numbers behind a figure, or the decision your team already made and nobody wrote down.
The numbers, explained
Ask why margin moved, which pull requests block the release, which accounts went quiet. The answer cites the figures it used, so you can check it against the layer they came from.
Questions about your numbers
- Why did margin drop in March?
- Which pull requests are blocking the release?
- Which accounts have not moved in three weeks?
- How much runway do we have if we hire two engineers?
The decisions, found again
Connect Slack and ask where a subject landed. The AI reads the threads and the meeting notes, then hands back the decision itself: what was settled, by whom, when, and the message that proves it.
Questions about your decisions
- What did we decide about Premium pricing?
- Did we settle on Qonto before Pennylane?
- What came out of Tuesday's product review?
- Who approved postponing the 1.2 release?
Your data, inside Claude and Cursor
Premium exposes an MCP server. Point Claude or Cursor at it and the same connected data is available where you already work.
Why did margin drop in March?
Reading Pennylane and Qonto
Margin fell 4.1 points in March.
Revenue held at €128k while cost of sales rose €5.3k, driven by two one-off infrastructure invoices in Pennylane. Headcount cost was flat. April is already back to 61.2%.
- Février
- 65,3 %
- Mars
- 61,2 %
- Avril
- 61,2 %
Read fromPennylaneQonto
What an answer looks like
One question, one decision, and the thread it came from. Nobody rereads three months of Slack to find out what was agreed.
DecisionsPremiumSample dataLast 30 days
Free to read. Paid to ask.
Every layer and the GitHub and Linear connectors are free, for good. The AI, the MCP server and the finance connectors are Premium.
Premium
Recommended€49/month
per workspace · €39/month billed yearly, per workspace
Everything in Free, plus the AI that reads it and the finance connectors.
- Everything in Free
- Ask questions in plain language
- Decision search across Slack and meeting notes
- MCP server for Claude and Cursor
- Pennylane, Qonto and Attio connectors
- Unlimited members and history
- Weekly digest and threshold alerts
Questions worth answering first
Does Cadran write anything to my tools?
No. Every connector is read-only and scoped to what the dashboard displays. Cadran reads on a schedule and stores the result; it never pushes anything back.
How long does setup take?
A GitHub token and the repositories you want to follow, and the Tech layer fills in on the first sync. Most teams are reading real numbers within a few minutes.
Which layers work today?
Tech is live with GitHub, GitLab and Linear. Commercial, Financial, the cross-layer Overview and the Slack connector are in build, arriving alongside the AI.
How does the AI find a decision?
It reads the Slack channels you connected and the meeting notes in them, finds where a subject was discussed, and returns what was settled with the messages it relied on. If a subject was never settled, it says so rather than inventing an answer.
What does the AI actually see?
Only the data from the sources you connected, within your workspace. Answers cite the figures and the messages they used, so you can check them against where they came from.
Cadran
Connect one tool. See the difference by tomorrow.
Start with GitHub. The Tech layer fills in on the first sync, and you can add the rest whenever you like.