DEX ON DATAOS

Ask your data. Trust the answer.

Dex is the conversational AI experience built on DataOS. Ask a business question in plain language and get governed, explainable answers grounded in the business context, semantics, and policies of your Data products.

Use the LLM that fits your AI strategy
Access policies enforced in the data layer, not by the model
Every answer shows its sources and definitions
HOW DEX AND DATAOS WORK TOGETHER

Dex is the conversation. DataOS is the foundation.

Dex: the conversational layer
Understands your question, keeps track of follow-ups, and returns answers, charts, and explanations in plain business language, using the LLM you choose.
DataOS: the data product foundation
Packages your data into governed data products with business context built in, access policies enforced. Runs every query on the platforms you already use.

Connecting AI to your data is easy. Getting answers you can use is not.

Most companies have invested heavily in data platforms, yet business users still wait on dashboards, analysts, and data engineers to answer everyday questions. Plugging a general-purpose LLM into that data gives it access, but access is a long way from understanding.

It doesn't know your definitions
An LLM can't tell which revenue figure is authoritative, which tables relate, or what your team means by an active customer.
It shouldn't be your security layer
Sending sensitive data to a model and hoping it filters the output correctly is not a governance strategy.
More context makes more confusion
Feeding a model every schema and document you have creates larger prompts, higher costs, and more room for wrong answers.

What Dex gives your organization

Answers without the hunt
Ask in business language. Dex finds the right governed Data product, so nobody has to know which dashboard, dataset, or table holds the answer.
Answers you can check
Every response shows the metric used, its definition, the Data product, the filters applied, and the underlying sources.
One definition, every time
Dex uses the business definitions built into your Data products, so the same question gets the same answer no matter who asks.
Governance that holds
DataOS checks the user's identity and access policies before any data is returned. People only see what they're already allowed to see.
No new platform to move to
Dex works across Snowflake, Databricks, BigQuery, Iceberg, databases, and APIs. Your data stays where it lives today.
AI spend you can see
Track models, messages, tokens, and spend, and keep costs down by sending the model only the context each question needs.

Keep asking. Dex keeps the thread.

Real analysis is rarely one question. Dex remembers where the conversation has been, so each follow-up builds on the last answer instead of starting over.

Ask

Why did conversion drop last week?

Follow up

Was it concentrated in certain regions?

Go deeper

How much was related to product availability?

Visualize

Show the top five regions as a chart.

Behind every answer, Dex shows how it got there: the metric and its definition, the Data product it used, and the filters it applied. If the trusted data can't answer the question, Dex tells you instead of guessing.

From question to governed answer in four steps

1
Ask
A user asks a question in everyday business language.
2
Find
Dex identifies the relevant data product and pulls in its definitions, relationships, lineage, and quality signals from DataOS.
3
Govern
DataOS evaluates who is asking and applies access policies before restricted data is returned.
4
Answer
DataOS runs the query where the data lives. Dex returns the answer, chart, and explanation, ready for the next question.

Built for everyone who asks questions of data

Business users: ask instead of search
Get answers without navigating dashboards or waiting in an analyst's queue.
Analysts: analyze instead of assemble
Spend less time finding, joining, and reconciling data and more time on what it means.
Data teams: reuse instead of rebuild
Build governed Data products once and put them to work across conversations, analytics, applications, and agents.
Leaders: govern and measure AI
Open up access to data while keeping governance, consistency, and a clear view of AI usage and cost.
What makes Dex different
Plenty of AI assistants can now connect to enterprise data. Dex was built for a different job: answering business questions from data that has already been defined, governed, and packaged as Data products.
01
It answers from trusted data, or tells you it can't

General assistants are built to always produce an answer, even from unverified sources. Dex only answers from governed Data products and says so when they don't cover the question.

02
It isn't tied to one platform or BI tool

Dex doesn't require your data to live in a single vendor's ecosystem or behind a specific BI report. It works across the platforms you already use.

03
It runs on the model you choose

Use commercial, enterprise, or private LLMs, and switch as your requirements for security, privacy, latency, and cost change.

Frequently Asked
Questions

How is Dex different from connecting an LLM to our data?

A connection gives the model access. Dex adds the business meaning: it uses DataOS to supply the relevant data product, its definitions, relationships, and policies, so the model reasons over focused, governed context instead of raw tables.

Does Dex replace our data platform or BI tools?

No. Dex works on top of the platforms you already run, including Snowflake, Databricks, BigQuery, Iceberg, databases, and APIs. It complements dashboards and is most useful when the next question isn't already answered by one.

How does Dex protect sensitive data?

Governance is enforced in DataOS, not left to the language model. The user's identity and access policies are evaluated during the query, so every answer reflects only what that person is authorized to see.

Can Dex show where an answer came from?

Yes. Answers include the metric used, its definition, the data product, the filters applied, and the underlying sources.

Which LLM does Dex use?

The one that fits your AI strategy. Dex supports commercial, enterprise, and private models, so you can balance capability, privacy, latency, and cost.

How does Dex help control AI costs?

Dex sends the model only the context that's relevant to each question, which keeps prompts smaller. It also tracks models, messages, tokens, and spend, giving you the basis to see consumption by user, team, Data product, or use case.

Why do data products matter?

A data product narrows the scope from everything you own to a governed set of data designed for a business purpose. That gives Dex clear definitions and controls to work with, rather than asking an LLM to infer meaning from raw schemas.

Bring us a business question. See Dex answer it.
Pick a question your team asks today. We'll show you how Dex answers it from governed data, with the evidence behind every result.
Bring us a business question →