How it fits

One trusted layer between your data and every AI that uses it

We validate your data, give it one shared business meaning, and only then put AI on top of it. That is what makes the answers reliable.

See the products
SOURCESTRUSTMEANINGUSED BY Snowflake Databricks Oracle SQL Server MongoDB ProfileData Genome ValidateDQ Check MonitorSchemaPulse Ontology + USLUnified Semantic Layer CustomerOrder RevenueChurn One definition of every metric AI agents & assistants Zeus AI products Dashboards & reports

Don't get AI to your Data. Get your Data to AI.

OntologyUSL (Unified Semantic Layer)
The four layers

How the architecture works

Each layer has a single responsibility. You can adopt them in any order.

01

Sources

Connect to the warehouses, lakes and databases you already run, with no migration required.

SnowflakeDatabricksOracleSQL ServerPostgreSQLMySQLMongoDBSAP ODataS3Azure BlobGCSAny JDBC source
02

Trust

Before anything is built on the data, it is profiled, validated on every load and monitored for change.

ProfileData Genome: types, distributions, nulls and value ranges for every column. ValidateDQ Check: completeness, validity and consistency tested on every run. MonitorSchemaPulse: added, removed and changed columns and tables flagged as they happen.
03

Meaning

A customer, an order or a revenue figure has one definition everywhere, regardless of the source system.

OntologyFormal concept definitions with IS-A, HAS-A and PART-OF relationships. One entity mapped across many source names.
USLUnified Semantic Layer: centrally defined business metrics, with native integration for dbt Semantic Layer, Cube and LookML.
04

Used by

Consistent KPIs across BI tools, AI agents and downstream APIs.

AI agentsAgents and assistants answer from validated, well-defined data, so every answer is traceable.
Zeus AI productsDocument and business AI built on the same foundation.
DashboardsReports and BI tools that show consistent numbers.
Where each product sits

Twelve products, one foundation

DataGov spans every layer. Each of the other products addresses a specific need.

TrustData you can trust

Profile, validate and monitor.

Data GenomeDQ CheckSchemaPulse
Every layerGovern every layer

Catalog, quality, lineage, privacy, ontology and the semantic layer.

DataGov
Used byAI in production

Focused AI applications for documents and business operations.

Doc ChatDocument SorterDocument CompareImage SearchConverterCashFlowFeedback AnalyzerTasker

What changes for your data team

WithoutWith Zeus AI
A source column is renamedA dashboard breaks and an engineer traces the cause by hand.SchemaPulse flags it on the next run and tells the table owner.
Bad rows reach the warehouseThey surface weeks later in a finance report.DQ Check catches them on load and identifies the affected rows.
Someone asks what a field meansThe answer depends on who you ask.Data Genome and the semantic layer give one shared definition.
An AI answer looks wrongNo one can tell if the model or the data is at fault.The underlying data is validated and defined, so every answer can be traced.

See how it fits your architecture

We will map your sources and show where each layer fits in your environment.

Contact sales
Zeus AI

See it running on your own data

Share a few details about your data and priorities. Our team will contact you to schedule a session.

  • Led by the engineers who built the products
  • Focused on your priority use case
  • Shown on the platforms you already use
Prefer to speak with us directly?sales@zeusgenai.in+91 88974 22733LinkedIn · Instagram

Book a demo

Tell us about your requirements and we will be in touch.

Please add your name
Please add a valid email
Please add your company
We use these details only to respond to your request.

Thank you. Your request is ready.

Your email application should now be open with your request. Send the email and our team will contact you to schedule the demo. If it did not open, use the button below or write to sales@zeusgenai.in.

Open email →