Analysis Machine · Software
Usage, revenue and intent in one answer.
Retention and expansion by cohort, support load against releases, and the evidence behind roadmap decisions.
Today, joining it up takes a week.
Replace the manual join, not the analysts.
Usage in one tool, revenue in another.
One answer, with its sources attached.
Churn noticed a quarter after it started.
Seat utilisation watched as the leading signal.
A roadmap argued from anecdote.
Evidence per cohort, asked for in the meeting.
Support load and release history never joined up.
One engine reading both.
A board pack rebuilt by hand each month.
A standing question anyone can ask.
A migration before anyone can ask a question.
Your estate as it is, read where it lives.
Definitions that differ by whoever built the report.
Described once, approved, then reused every time.
What the layer can do in software.
Read product telemetry, billing, support and CRM together so the questions that cross all four no longer wait for a hand-built analysis.
- Retention and expansion by cohort
- Support load vs release history
- Licence and seat utilisation
- Evidence for roadmap calls
- Pipeline and win-rate by segment
- Feature adoption vs contract value
- Churn risk before renewal
- Cost to serve per account
4 systems
Telemetry, billing, support and CRM read together without another warehouse migration.
90 days
Usage can reveal cohort risk well before renewal turns it into lost revenue.
One trace
Every cohort answer retains its definition, source events and release context.
Software features
Six features, working together.
01 / Ask
A product lead asks about cohorts. In plain English.
Ask which cohorts expand, where utilisation is falling, or what a release did to support load.
02 / Describe
Your pricing tiers, your usage definitions, your release history.
Capture active-seat definitions, plan hierarchy and how expansion is netted against churn.
03 / Connect
Telemetry, billing and the CRM, read where they sit.
Read telemetry, billing, support tickets and CRM together where they sit.
04 / Build
A cohort analysis becomes the board pack’s standing view.
Turn cohort analysis into a standing retention, utilisation or board view.
05 / Model
Model the pricing change before it ships.
Test pricing tiers, seat caps and migration paths against actual cohort behaviour.
06 / Trust
Every number traces to the usage event behind it.
Trace every number to its usage events, release and cohort-definition revision.
Architecture
Runs in your account. Reads, never writes.
Runs where you do
Your cloud account, your region, single tenant. We deploy into it and hand over the runbook.
Reads, never writes
Read-only against your warehouse and source systems, under the permissions you already maintain.
Described up front
Your business held as an ontology, reviewed and approved before anything runs on it.
Traceable
Every answer shows its query, its sources and the revision that produced it.
Testimonials
“Support load against release history was a question we could never answer without an engineer. Now anyone on the product team can.”
“It found the cohort that was churning ninety days before renewal. We would have seen it in the revenue, too late.”
See it working
Two ways to take it for a spin.
01 · Watch
Watch a walkthrough
Fifteen minutes, on our data. What a question looks like going in and an answer coming out, end to end.
Watch the video02 · Meet
See it live
We can tailor a presentation to your business. Share your data schema with us and it’ll feel like home.
Start a conversation.
Tell us the software question your team cannot answer today. We’ll show you what the layer would need to answer it.
Not everyone reads our newsletter.
Because it's not for everyone. But if you're interested in the cutting edge of AI transformation, you could do worse than our monthly missives.
By subscribing, you agree to our privacy policy. Unsubscribe anytime.