Data chat

Everyone gets to answer their own questions.

No analyst queue and no SQL to write. Ask in plain language, get the chart and the reason, then keep going with follow-ups that hold the thread.

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Verity

Connected

Revenue down 14% day over day

Yesterday closed at €38.2K, the lowest in two weeks. The cause: a Meta Ads campaign paused at 14:00.

Last 14 days

Yesterday

Date

Revenue

Change

Mar 31

€38.2K

14%

Mar 30

€44.5K

4%

Mar 29

€46.1K

2%

Mar 28

€45.3K

1%

Verified SQL

SELECT date,
SUM(revenue) AS revenue,
LAG(SUM(revenue)) OVER (ORDER BY date) AS prev
FROM analytics.daily_metrics
WHERE date >= '2026-03-01'
GROUP BY date ORDER BY date DESC;

Which campaign should I fix first?

Restart Spring Sale on Meta

It lost the most revenue yesterday and holds your highest ROAS over the last 30 days.

Workspaces

A workspace for every team.

Spin up a workspace for each team, with the sources and people that belong to it. Marketing gets the ad platforms, finance gets billing. Everyone works in their own space, on the same trusted numbers, and can chase a dip together instead of trading screenshots.

Your workspaces

3 teams

Marketing

SL

MK

AV

Meta Ads

Google Ads

GA4

SL

Why did ROAS dip last week?

MK

Looks like Meta, not Google. Digging in.

Finance

Stripe, Exact, Billing

RB

JD

Product

GA4, Amplitude, Postgres

TN

EK

PW

Insight you can trust, data that stays safe.

Answers based on your definitions

A raw model guesses what your metrics mean. Verity answers through your semantic layer, so every number lines up with how your business actually defines it.

You control who sees what

Permissions live in Verity, at the user and the workspace level. Give a workspace access to specific sources, so people only ever see the data they are allowed to.

Your data stays in Europe

Wire an AI straight to your warehouse and your data heads to the US first. Verity runs it on Google Vertex in Europe with zero retention, so nothing is stored and nothing leaves the EU.

From source to insight, in three steps.

01

Connect your sources

Point Verity at your warehouse and key tools. It maps your tables to known entities out of the box.

02

Optimize the semantic layer

An automatic scan builds a base semantic layer for you. Review it, then extend it with your own business context, so every metric means exactly what you mean.

03

Start analyzing

Ask in plain language and get charted answers with the reason behind them. Anyone can dig in, no analyst required.

From chat to action

Activate your data directly from the chat.

An answer does not have to stop at the chart. Build a segment from what you found and push it straight to your channels, or schedule a check that runs on its own. Fixed a bug that dented conversion? Let Verity confirm tomorrow that it bounced back.

Act on the answer

A checkout bug cut mobile conversion.

Fixed

TURN IT INTO

Segment: mobile drop-offs

Push to

Meta

Google Ads

Re-check mobile conversion

Tomorrow, 09:00

Scheduled

The Verity suite

Explore more of Verity

Data Chat is one lane of the platform. Here is where it connects.

Put the answers in front of your team.

Book a demo and watch your own data explain itself, live.

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