Uncypher noticed:
The Tuesday Linear ticket that's been in queue 5 days.
The dashboard that says 1.2M, 980K, and 1.6M for active users.
The Slack: can someone double-check this number before the board meeting?

The AI Analystbiz opscan finally trust.

Ask Uncypher, analyze and decide with grounded insights, in minutes, not days

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Runs in your VPCBring your own LLMData stays in placeEvery query audit-logged

Bad answers usually start before SQL.

The context that decides an answer lives everywhere except the query:

the metricdashboards
the segmentdbt
the joinnotebooks
the caveatSlack
the prior fixsomeone's head
WITHOUT CONTEXT

1.2M · 980K · 1.6M

three dashboards, three “active users.” Which one goes to the board?

vs
WITH THE CONTEXT IN

1.18M ✓ one answer

events.user_active · v4churn def · v4pinned by Maya J.
↳ same warehouse. the difference is what walks in first.
Uncypher/Acme Co./Q2 revenue digging
Q2 daily revenue — by day
USD · 90 days
Ask anything about your data…
What changes

For the people who couldn't get an answer before 5pm.

01 · The PM at 9pm

Twelve minutes from question to chart. Tomorrow's standup goes well.

The growth experiment shipped Friday. She needs activation numbers by morning. No ticket, no five-day wait — she asks, gets the chart, sees the SQL, and ships the screenshot into Slack at 9:12.

↳ no ping to data. no Monday spillover.

Uncypher · 90s

paid signups, Q2, by week?
SELECT week, count(*) FROM signups WHERE plan = 'paid'
AIresolved in 90s
02 · The founder on Monday morning

Pulls the number himself in the elevator. The meeting is shorter, the decisions are sharper.

He used to walk in with a number someone else had pulled, hoping he understood it. Now he asks "ARR week over week?" from the elevator — one number, one source, no dashboard debate.

↳ the meeting starts at the second question.

Uncypher · canonical

Active users — north-star
1.18M↑ 4.2% wow
sourceevents.user_active · v4 · pinned by Maya J.
Scheduled · Monday 8am
03 · The ops lead with the churn spike

Twenty minutes to the answer. Tuesday fix instead of next Monday.

The old path: file a ticket, wait, follow up, wait again. The new path: ask, see the cohort, then take the SQL into the workbench and rewrite the filter herself. The fix ships Tuesday.

↳ for when you want to drive.

Uncypher · workbench

schema
users
id
plan_tier enum
created_at
churned_at
query · paid_signups_q2.sql
SELECT date_trunc('week', created_at) AS wk, count(*) AS signups FROM users WHERE plan_tier IN ('pro', 'biz') AND created_at >= '2026-04-01' GROUP BY wk ORDER BY wk;
pin this result
same surface, more controls.

Proof, not promise

saved query0.4s · 91 rows
SELECT day, revenue
FROM billing.daily_revenue
WHERE day >= '2026-05-01'
lineage: billing.daily_revenue → fct_orders
pinned definition
churn · v4

an account with no paid activity for 30 consecutive days.

pinned by Maya J. · used in 23 answers
data source
billing.daily_revenue
  • synced 9:02am · 91 rows fresh ✓
  • columns 7 typed · 0 PII
8 sources connected · read-only
audit log
  • 09:02:14 query executed · user RV11 logged ✓
  • 09:02:14 91 rows · 0 PII columns
  • 09:02:15 answer pinned to thread
every query, immutable · 100%
answer

Revenue dipped 1.6% — three enterprise accounts churned within 24h, all with tickets aged over 5 days.

billing.daily_revenuezendesk.ticketschurn · v4
deployment
  • runs in your VPC
  • bring-your-own-LLM
  • every query audit-logged
your data never leaves · no training on it
↳ every card here is a real artifact the workspace produced.
security & deployment details →
Why every answer gets sharper

An organization that remembers.

Every query your team writes. Every correction they make. Every conversation. Stitched into one living context your AI uses for the next question — and the next.

your warehouse
your code
every query
every correction
Uncypher
↳ the longer you use Uncypher, the sharper this gets.

Stop waiting.

Uncypher. Truth, on demand.