AI-powered data intelligence
Turn enterprise data into answers your teams can trust.
Connect your existing data sources and help teams discover approved data, ask questions in plain English and build dashboards, with consistent business definitions, controlled access and a clear record behind every answer.
Data monitor alert
- Change
- Column fee_estimate changed type
- Table
- gold_client_engagements
- Affects
- 2 metrics, 6 dashboard tiles
Evidence ledger entry
- Asked by
- Sam Rivera, New York
- Rules applied
- 1 row-level rule
- Fingerprint
- sha256 8deda5f3…
Ask a business question. Explore the answer.
Ask questions in everyday language, explore the results visually and build dashboards from certified data. Review the SQL whenever you need to understand how an answer was produced.
Other questions teams ask
- “How many engagements do we have by office this year?”
- “Which open engagements have no manager assigned?”
- “How do estimated fees compare across practices?”
The same dashboard. The right view for every role.
Permissions are part of the query, not an afterthought: when Sam, an analyst in New York, opens a certified tile, his row rule is added before it runs. Jordan, the managing partner, sees every office.
Jordan Ellis, managing partner
- Sees
- 5,736 engagements in 16 offices
- Rules applied
- None: every office
- The SQL that ran
SELECT office, COUNT(*) FROM gold_client_engagements WHERE fiscal_year = 2026 GROUP BY office
Sam Rivera, analyst, New York
- Sees
- 930 engagements, New York only
- Rules applied
- Row rule: engagements in my office
- The SQL that ran
SELECT office, COUNT(*) FROM gold_client_engagements WHERE fiscal_year = 2026 AND office = 'New York' GROUP BY office
One platform, from question to evidence.
Each part reads data as the person using it, through the same governed path. Nothing is bolted on.
Data marketplace
One place to discover approved data products, see who owns them and what they mean, and request access. Each product passes a checklist before it is certified.
Ask
Ask in everyday language and get an answer with a chart, the SQL that ran and the rules that applied. Certified metrics and verified questions answer without an AI model.
Dashboards
Build dashboards from certified data. Tiles run with each viewer's access: click a bar to filter, ask why a number changed and forecast the next periods.
Definitions
Metrics, dimensions and glossary terms defined once, so a number means the same thing in chat, on a dashboard and in Excel.
Access
Approval workflows, row-level rules and sensitive-field masking, applied inside every query rather than added afterwards.
Reliability
Monitors for freshness, unusual volumes and schema changes on every certified table, with no rules to write. An incident names the metrics and dashboards it affects; quality rules include your dbt, Great Expectations and Soda checks.
Workflows
Turn recurring checks into workflows: queries, quality checks, conditions and notifications, run on demand, on a schedule or from a webhook.
Works with the data and tools you already run.
Databases on your own servers or in AWS, Azure and Google Cloud, Microsoft Fabric, Dynamics 365 and data lakes, with governed results in Excel, Power BI, Teams and AI assistants.
- SQL Server
- PostgreSQL
- MySQL
- Microsoft Fabric
- Dynamics 365
- Azure Data Lake
- Excel
- Power BI
Product names and logos belong to their owners.
All connectorsEvery answer, governed.
Explain the answer. Show the evidence.
Review who asked, what ran and which access rules applied. Every answer is written to an append-only ledger and chained to the entry before it, and query records, access changes and supporting evidence come together in one pack for review.
Entry #1,086
- Asked by
- Sam Rivera, New York
- Through
- Dashboard tile
- Question
- FY2026 engagements by office
- Tables
- gold.gold_client_engagements
- Rules applied
- Engagements in my office
- Rows returned
- 1
- Previous
- sha256 3c09d1e7…
- Fingerprint
- sha256 8deda5f3…
Runs in your Azure
One resource group in your own subscription, on a private network, with your PostgreSQL, Key Vault and Azure OpenAI. No access for us unless you grant it.
AI inside your rules
The AI writes SQL and explains results; it never decides who sees what. Sensitive values are masked in what the model sees, and accuracy is tested, not assumed.
Common questions
More in all questions, or ask us.
Does ZeaData copy our data?
ZeaData connects to your existing data environment, with connector-specific caching and configurable result retention. Databases and Microsoft Fabric are queried where they are, with each person's access. Tables in a data lake are read into a cache on storage inside your deployment so they can be analyzed.
Saved answers keep their result rows unless your administrators turn that off, and they decide how long chat history is kept.
Which AI model does it use?
Azure OpenAI in your own subscription, or an OpenAI-compatible endpoint you approve. ZeaData only calls the hosts on your allow-list and refuses any other.
Certified metrics, verified questions and dashboards built from them work without any model.
How does access control work?
People request access to a data product's tables, for a set period or until revoked, with or without sensitive fields, and the product's approvers decide. Row rules use attributes such as office or region, which can be synced from Microsoft Entra ID.
ZeaData rewrites every query with those rules before it runs, on every channel, and refuses the query if it cannot apply them.
Can people use the data in Excel and Power BI?
Yes. Each data product offers snapshot downloads, a refreshable Excel workbook and an OData feed for Power BI, all with the person's own access. Every refresh is recorded in the ledger.
Administrators can switch downloads and feeds off for the whole organization.
Is ZeaData certified for SOC 2 or ISO 27001?
Ask us for our current certification status.
The product includes a trust center that checks its security controls live and maps each one to the SOC 2 criteria and ISO 27001 controls it supports. It is a self-assessment that helps your auditors, not an audit opinion.
Where does it run?
In your own Azure subscription, deployed with our templates on a private network, or as containers on your own servers. We have no access to a private deployment unless you grant it.