Ask anything across your documents and databases.
DataFact is an AI analyst for documents and databases, built for answers you can verify.
Documents + Databases · Traceable answers · Enterprise-ready
DataFact can return supporting sources and analysis artifacts with an answer, so your team has more of the context needed to review an important result.
01
If the result cannot be traced, someone still has to check it manually.
02
Tables, merged cells, figures, and complex layouts often break when documents are treated as plain text.
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Important business questions rarely live in only one place. DataFact lets you work across both.
Connect documents and databases to DataFact and ask questions in natural language. DataFact finds the relevant information, analyzes it, cross-checks the sources, and returns an answer you can verify.
01Connect
Documents and databases, together
Bring in documents, spreadsheets, reports, and databases.
02Understand
Context stays intact
Keep document structure, data definitions, and business context intact.
03Analyze
One question can cross every source
Ask questions and let DataFact retrieve, query, and reason across your data.
04Verify
Supporting material stays inspectable
Review the sources and analysis artifacts a workflow returns.
03Document intelligence
DataFact keeps tables, figures, layouts, and page locations intact instead of flattening everything into text.
So when an answer points to a source, you can go directly to the exact place it came from.
04Data analysis
Ask a business question and DataFact turns it into a query against the data and definitions your team already uses.
The SQL stays visible, so analysts can inspect exactly how the result was produced.
05Data agents
Some questions need more than one query. DataFact agents break complex questions into steps, search documents, query databases, compare sources, and bring the findings together.
The result is not just an answer — it includes the analysis and evidence behind it.
DataFact applies access rules before data reaches the answer. Permissions, data roles, and business rules determine what each user can see, while available questions and execution details remain reviewable.
No need to replace your warehouse or move everything into a new system. Connect DataFact to the documents and databases your organization already uses.
what you already have
parsed, modelled, versioned
planning and retrieval
where people meet it
Start with DataFact in the cloud, or run it inside your own environment.
Connect your data, create an agent, and start asking questions.
Deploy DataFact in your own cloud or infrastructure with your existing identity and security systems.
Deployment scope, integrations, upgrade windows, and migration requirements depend on the selected environment and are confirmed during evaluation.
DataFact, directly
Short answers with a deeper source for each topic.
DataFact is an AI analyst for documents and databases, built for answers you can verify.
Read the full definitionDataFact can work with supported documents, spreadsheets, and connected databases. The exact sources available to an answer depend on the workspace, Agent configuration, permissions, and source readiness.
See how sources connectYes. A DataFact workflow can use structured records and unstructured source material in the same investigation when both are connected and available to the Agent.
Why the two source types belong togetherIt means the supporting material behind an answer can be inspected when the workflow provides it. That may include document citations, source passages, queries, charts, files, or execution details. It does not mean an AI answer is guaranteed to be correct.
Learn about answer verificationChatGPT supports a broad range of general-purpose work. DataFact is designed around business analysis over connected documents and databases, with workspace context, governed access, and inspectable supporting material where available.
Compare DataFact and ChatGPTTraditional BI tools commonly organize governed metrics, dashboards, and reports. DataFact focuses on asking and investigating questions, including questions that also need information from documents. It can complement an existing BI environment rather than replace every BI workflow.
Explore database analysisNo. DataFact connects to data systems that already exist. A BI platform or semantic layer can remain the governed source of metrics and definitions while DataFact uses the available context in analytical workflows.
Understand Datasets and Analysis ModelsStart here
Connect a document and a database, ask the question, and inspect the supporting material the workflow returns.
Source visibility depends on the connected resources and workflow.
