528ms
−40ms24h
Event → chart, P95 24h.
AIXYS · MODULES · DATA INTELLIGENCE
Every event,
one lens.
Aixys ships real-time intelligence over the same memory your team writes to. There is no warehouse to sync, no metric layer to govern, no dashboard that drifts. The chart you read is the table your team is editing.
MODULES · LIVE LENS · INTELLIGENCE
One lens, live.
LIVE · 47 METRICSThe numbers on this page are the numbers your team reads right now. Event-to-chart P95 is under 900ms on the batch-01 cohort.
28
+3this week
One definition per metric.
0
−3since ETL removal
Zero metric forks across 4 lenses.
7.4k
+12%wow
Human + agent reads, last 24h.
SIGNALS · REVENUE / ACTIVATION / RETENTIONAll three on the same timeline, same memory.
24HACTIVITY · 7 × 24Writes per hour, last 7 days.
HEATMONTUEWEDTHUFRISATSUN
00061218
MODULES · CAPABILITIES · 04
Four rules that keep numbers honest.
Intelligence on Aixys is the app reading itself. No copy, no transform, no second system of record.
- 01
The warehouse lives in the app
There is no ETL. No nightly pipeline to a second database. Every event Aixys writes lands on the same analytic store the app reads. One row, one truth, one timestamp.
PROOFDashboard lag · <900ms median from event to chart.
- 02
Every metric ties to a record
You never see a number without the deals, tickets, or invoices behind it. Click a bar, open the rows. Click a row, open the thread. The chart is a drill-in, not a summary.
PROOFEvery metric · clickable down to source record.
- 03
One definition, one place
Revenue, activation, retention — each defined once on the axis, referenced everywhere. Finance, growth and leadership all read the same query. No "their dashboard says 42%, mine says 39%."
PROOFZero metric forks across four lenses.
- 04
Real-time, not batch
Dashboards stream. A deal closes, the chart ticks. A ticket opens, the queue depth moves. No 15-minute refresh loops, no "let me re-run that report."
PROOF99th-percentile refresh · 1.2s on live dashboards.
MODULES · 06 QUESTIONS · ANSWERED
Six questions on one lens.
- REVENUE
What did we ship this month, by team, by segment?
- ACTIVATION
Which accounts hit Day-7 value — and which stalled?
- CHURN
Which contracts have not renewed — with the reasons from CS?
- PIPELINE
Which deals moved — and who talked to whom, when?
- USAGE
Which features drive retention — measured on one timeline?
- MARGIN
Which customers cost more than they pay — with the ticket history?
ARCHITECTURE · DEEPER
Why one memory beats a warehouse.
A warehouse is a promise that two systems will agree, later. Aixys skips the promise — the app is the warehouse is the app.
AIXYS · MODULES · DATA INTELLIGENCE
The same number on every screen.
Because every lens reads the same memory, the revenue on the finance dashboard is the same revenue on the sales board is the same revenue on the board report.