Ask three teams about revenue, enrollment, or stock and you may get three answers. Denzing gives one answer, built on the definitions your business already agreed on.

Inside AI Analytics

Grounded Context

Every question starts with the ontology

AI must reason about your business, not just query tables. Denzing uses the ontology to find the business objects, definitions, and data each question needs.

Multi-step Analysis

Analyze complex business problems end to end

Denzing breaks hard questions into steps. It writes SQL, and it also runs forecasts, machine learning models, and statistical tests, then checks its own work before it answers.

Embedded intelligence

Build Denzing into your own AI

Add the Denzing intelligence layer to your existing products and workflows. API and MCP access let your applications and agents use the same governed model.

Governed Action

Analysis is only the beginning

An answer is only useful when someone acts on it. Denzing's autonomous agents use the same model to act: they write back to your systems through governed actions.

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Set of definitions behind every answer

Every answer traces back / See the data, definitions, and logic behind each number.

Denzing analyzes systems, entities, and relationships together instead of in isolation.

Numbers and conversations together / Combine warehouse data with calls, chats, and emails to explain why numbers move.

Business rules and models provide context for data analysis.

More than SQL / Forecasts, machine learning, and statistics run inside the same analysis.

Analyze routes using the best model for the question in a shared business context.

Permissions respected / People see answers only from data they are allowed to see.

Recommendations link to actions, approvals, and where work occurs.

Analyze the business with context.

Denzing gives AI access to the business model behind the data, so every analysis understands the entities, relationships, logic, and operational rules that matter.

Questions become business intent.

Denzing identifies what the user is asking, which business objects are involved, and what information is needed to answer it.

Relationships create Context makes the analysis reliable.context.

AI reads connected data, relationships, models, and business rules together instead of analyzing isolated tables or documents.

Analysis leads to the next decision.

Denzing returns the answer with the reasoning, supporting context, and available governed actions attached.

Frequently asked questions

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Newsroom

Go to newsroom

Turn your business context into action

Connect your data, define how the business works, and give AI the context to analyze, decide, and act with confidence.

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