Ninety tools in. One answer out.
Warpyn connects your billing, CRM, product and support data, then answers questions in plain English. Every figure is woven from rows you can trace.
Reads from the tools you already pay for. Read-only, from day one.
240+
02 · Lineage
Pull any thread back to the row it came from.
03
How it works
From ninety tabs to one answer, in three steps.
No new dashboards to maintain and no copy of your data to babysit. Warpyn reads what you already have and keeps every figure traceable.
See the product
→
01
Point Warpyn at your warehouse, billing, CRM and support desk. 240+ connectors, read-only by default, live in minutes.
02
Every source is combed into one model: customers, revenue, usage and tickets lined up on the same key, with a glossary your team agrees on once.
03
Ask in plain English. The answer is woven from the rows, and every figure keeps its thread back to them.
04
Ask in plain English
Type the question you would ask your analyst.
05
Pulse
One thread out of line, and you hear about it first.
Pulse learns what normal looks like for every metric you care about and only speaks up when something is both unusual and large enough to matter. Each alert arrives with the answer attached.
09:14 · Today
EU card payments failing
212 invoices declined since 07:40, six times the usual rate. 91% share one processor error code.
Yesterday
Trial sign-ups from paid search down 22%
Two campaigns stopped spending on Sunday after a budget cap was reached.
Monday
Support backlog above normal
P1 queue at 38 tickets against a normal range of 9 to 17. Most mention the new export.
06
In numbers
What changes when every figure has a thread.
16×
faster from question to answer than a ticket to the data team
47%
fewer dashboards kept alive after the first quarter
4.2h
saved per analyst every week, mostly on one-off requests
240+
connectors, read-only by default
Every figure traceable
Click any number to see the rows, joins and filters behind it.
96%
of answers accepted without a follow-up question
0
copies of your raw rows stored by Warpyn
07
Customer story · Harrow & Pike
“We thought we had a loyalty problem. Warpyn showed us it was a card-expiry problem, and it took one question to see it.”
Maren Solberg, Head of Growth, Harrow & Pike
31%
less involuntary churn
36%
of churn traced to expired cards
1
retry rule to fix it
Read the story
→
08
Customers
Teams that stopped guessing.
Harrow & Pike
Subscription retail
How Harrow & Pike found the churn hiding in failed cards
−31%
involuntary churn in two quarters
Kitefin
Fintech
Kitefin closes the month four days sooner
4 days
faster month-end close
Oakmere Health
Clinic network
Oakmere Health fills 18% more afternoon appointments
+18%
afternoon utilisation
09
Security
Permissions travel with the thread.
01
Read-only by default
Every connector asks for the narrowest read scope the source offers. Raw rows stay where they are; Warpyn stores query plans and the answers you save.
02
Row-level permissions
Access rules come from your CRM, warehouse and support desk. Totals are recomputed for what each person is allowed to see.
03
Your region, your keys
EU or US data residency, customer-managed keys on Enterprise, SSO, SCIM and an audit log for every question asked.
SOC 2 Type II
GDPR
HIPAA-ready
EU · US residency
SSO · SCIM
Audit log
10
Sources
240+ threads, one loom.
Billing
Ledgerline
Subscriptions, invoices and refunds, joined to accounts so revenue questions answer themselves.
Every 5 minutes
CRM
Pipewell
Accounts, owners and deal stages, so every revenue figure knows which customer and which rep it belongs to.
Every 15 minutes
Support desk
Northdesk
Tickets and satisfaction scores, lined up against revenue so support load has a price.
Every 10 minutes
Warehouse
Quarry
Point Warpyn at your warehouse and it reads the models your data team already trusts.
Live query
Product events
Eventide
Product usage rolled up to account level, so adoption and churn sit in the same answer.
Hourly rollups
Ad spend
Adrift
Campaign spend matched to the customers it actually brought in, not the clicks it claimed.
Daily
Spreadsheets
Sheetwise
The plan, the targets and the lookup tables that only live in spreadsheets, finally in the same place as the actuals.
On change
HR system
Rosterly
Headcount by team and start date, for revenue per head and hiring plans without personal data.
Daily
11
Pricing
Priced by sources and questions, not seats.
12 · Questions
What teams ask before they connect anything.
Something else on your mind? A data engineer answers every message within one working day.
Ask us directly
→