Powerful analysis.
For everyone.

deepgreen’s AI is purpose-built for data, with tools across the entire stack to handle quick questions and complex analysis, grounded in governed data and shared business context.

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Ask deepgreen AI what is driving revenue growth. It compares quarterly revenue using revenue, customer, and product data. Revenue rises from $840k in Q1 to $1.24m in Q2. Existing customers contribute $280k, or 70% of the $400k increase, and new customers contribute $120k. Continue by asking which products drove that growth.

Analysis the
business can trust.

Ground every investigation in shared business definitions, trace results to their source, and keep access governed as analysis reaches more people.

Explore the context layer

The same meaning across the team.

Shared metrics and business rules carry from a question into its charts and reports.

See how the answer was reached.

Inspect the underlying data, SQL, and model relationships behind a result.

Access follows the work.

One permission model governs people and deepgreen AI, including shared reports.

Go deeper than
the first answer.

Click a chart, select a cell, or highlight text. Ask deepgreen AI why. The data, filters, and business definitions carry into every follow-up.

Follow the underlying data.

Compare drivers and trace results through models and source data, with SQL and Python when the question needs them.

Work directly, too.

Explore visually, inspect the SQL, or continue in a Python workbook. The conversation and the analysis stay together.

Select June’s $280k bookings bar and ask deepgreen AI what changed. The selected month and Sales model stay attached to the question. June bookings rose $80k, or 40%, from May’s $200k. North America contributed $60k of the increase and Europe contributed $20k.

Turn findings into
shared reports.

Bring charts, data, and the explanation together in a report the team can explore, revisit, and build on.

The bookings investigation becomes a June sales review, shared with the Revenue team. The report keeps the chart and explanation together: April bookings were $240k, May $200k, and June $280k. June grew $80k, or 40%, with $60k from North America and $20k from Europe.
UCAN

“We analyzed last month's promotion 99% faster in Deepgreen than we could have in Looker. It's nuts.”

David Siegel · VP of Marketing, UCAN

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