why fortune 500 data teams are stuck

Answers live in 47 systems. Trust lives in none of them.

Your BI team ships an insight in six weeks. The market moves in six minutes.

The board stopped trusting the dashboard a long time ago.

Generative AI without grounding isn’t an edge — it’s a liability with a UI.

cube resolves it once. Instantly. Provably.

CRM
ERP
SNOWFLAKE
S3
POSTGRES
SALESFORCE
cube
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cube.ad
The answer engine for the Fortune 500.
the trade we make

four problems. one resolve.

I — SPRAWL
40+ systems

cube profiles the lake and builds one semantic layer automatically. No manual mapping, no waiting on a data-eng backlog.

II — LATENCY
Weeks → milliseconds

Answers are precomputed, not queried live. What used to be a sprint ticket is now a page load.

III — TRUST
No black box

Every number traces to the exact rows it came from. Show your work, on every card, every time.

IV — RISK
Provable, not plausible

Wilson-interval confidence and full provenance mean nothing shipped is fabricated. Compliance can read it too.

what enterprises get

three views, animated

01
warehouse.acme.internal
orders_wide.parquet
1,842 tables profiled

Connect a lake in minutes

Point at a warehouse, cube profiles schema and builds the semantic layer itself — no manual mapping.

02
"what's our churn?"
4.2%
grounded · 3 sources · served in 40ms

Ask in plain English

Every answer traces back to the exact tables and rows it came from — no black box.

03
82% CI

Confidence you can see

Evidence bands and Wilson-interval confidence ship on every card, not just the headline number.