Stop waiting for your data team
Your analysts are buried in ad-hoc requests.
Echo lets everyone on your team get answers directly – in plain English, in seconds.
The Real Problem Isn’t Your Data
Dashboard Backlog
Your BI team built 50 dashboards. But when someone asks a question those dashboards don’t cover, it’s a 2-5 day wait for custom SQL.
Analyst Bottleneck
With a team of 2-3 analysts serving 50+ stakeholders, every ad-hoc request competes for the same limited bandwidth.
Tool Sprawl
Your data lives in Snowflake, but answers require jumping between PowerBI, Excel exports, and Slack threads with your analyst.
One question. Full answer.
No dashboard hunting. Just ask.
Echo — Snowflake / PostgreSQL
Verified
QUESTION
Monthly revenue by product category for the last 6 months, with growth rate
Verified · 2 tables joined · 1 iteration
| Month | SaaS | Services | Hardware | Total | MoM Growth |
|---|---|---|---|---|---|
| Oct 2025 | $142K | $89K | $34K | $265K | – |
| Nov 2025 | $156K | $92K | $31K | $279K | +5.3% |
| Dec 2025 | $148K | $95K | $28K | $271K | -2.9% |
| Jan 2026 | $163K | $88K | $35K | $286K | +5.5% |
| Feb 2026 | $171K | $97K | $32K | $300K | +4.9% |
| Mar 2026 | $179K | $101K | $30K | $310K | +3.3% |
SELECT
DATE_TRUNC('month', order_date) AS month,
SUM(CASE WHEN category = 'SaaS' THEN revenue END) AS saas,
SUM(CASE WHEN category = 'Services' THEN revenue END) AS services,
SUM(CASE WHEN category = 'Hardware' THEN revenue END) AS hardware,
SUM(revenue) AS total,
ROUND(
(SUM(revenue) - LAG(SUM(revenue)) OVER (ORDER BY DATE_TRUNC('month', order_date)))
/ LAG(SUM(revenue)) OVER (ORDER BY DATE_TRUNC('month', order_date)) * 100, 1
) AS mom_growth
FROM sales
GROUP BY 1
ORDER BY 1;
Built for cloud-first teams
Managed SaaS
No infrastructure needed. Connect and start asking.
Fast Onboarding
Most teams go live in 2 weeks.
Works With Your Stack
Connect Snowflake, PostgreSQL, BigQuery, etc.
Team-Friendly
No SQL knowledge required.
Why not just use ChatGPT with
your database?
Generic AI
-
Doesn’t know your column names
-
Can’t join tables correctly
-
Hallucinates table names
-
No verification
-
~65% accuracy
AX Echo
-
Maps every field to business language
-
Builds optimal JOIN paths automatically
-
Trained on your actual schema
-
25-loop verification
-
95%+ accuracy
95%+
accuracy
2 weeks
setup
<5 sec
response
4-6 hrs
saved/week