Build a shorter path from business question to answer.

Turn your schemas, metric definitions, and query tools into an analytics experience your team can use. Build with Cenmax AI to explore metrics, investigate changes, and carry findings back to the data and code behind them.

Start building See it in action

01 / WHAT YOU CAN BUILD

Put your data team’s methods to work across the business.

A business question often needs several queries, a data check, and a closer look at one segment. Cenmax AI combines reasoning, code, and tool use so you can build AI for data analysis around that whole investigation. Give colleagues a way to explore the numbers while keeping your definitions at the center.

A self-service metric explorer

Build an assistant that turns a business question into queries against your metric definitions. Let people clarify a period, compare segments, and ask follow-up questions in the same workspace. Return the result with its definition, filters, and query so analysts can pick up the work.

Build with: Warehouse schema, metric definitions, permitted query tools, reporting dimensions
What you get: An analytics application with conversational metric exploration, result tables, and the queries behind each answer.

A metric change investigator

Create an investigation workspace that breaks a change down by cohort, channel, or product. Have Cenmax AI propose the next useful comparison, call your query tools, and assemble the findings. Help analysts follow a question through successive checks instead of rebuilding context at each step.

Build with: Metric history, event definitions, segment dimensions, query tools, business context
What you get: An investigation workspace with segment comparisons, supporting queries, findings, and proposed follow-up analyses.

A data quality investigation workbench

Bring failed checks, schema changes, and pipeline logs into a workbench that helps engineers investigate data issues. Trace the affected tables and transformations, compare recent changes, and prepare a proposed fix with tests. Turn a failed check into a focused path toward restoring the dataset.

Build with: Data quality results, pipeline logs, schema history, transformation code, sample records
What you get: An issue workbench with affected assets, investigation findings, and proposed code changes and tests.

A metric development workflow

Build a workflow that takes a proposed business metric through definition, SQL implementation, test cases, and documentation. Use Cenmax AI to work across the analytics repository, examine existing patterns, and prepare a change package that makes the new metric reusable in your reports and applications.

Build with: Metric requirements, analytics repository, schema files, existing SQL patterns, test datasets
What you get: A metric implementation package containing SQL, validation tests, documentation, and a concrete code diff.

02 / SEE IT IN ACTION

Build a conversational metric explorer

Example workflow

WHAT TO BUILD

Build an internal analytics application where our team can ask about activation, compare signup channels, and inspect the SQL and metric definition behind each answer.

01
Implement metric-definition lookup and restricted query tools using your warehouse and access rules.
02
Build the conversation interface, result tables, query details, and follow-up comparison flow.
03
Connect Cenmax AI through the API and test the full experience against known metric questions and results.

THE RESULT

A working internal analytics application that answers metric questions, supports follow-up exploration, and shows its queries and definitions.

03 / WHY CENMAX AI

The intelligence.
The tools to act.

Reason through complex work, create the files and code you need, and put AI into your applications. Cenmax AI brings the model and the tools together.

Explore the tools

Connect reasoning to your query tools

Cenmax AI API tool calls let your application supply schema context, execute permitted queries, and return results for the next analysis step. Build AI analytics tools around the data access layer you choose.

Work from the question to the implementation

Cenmax AI Desktop and CLI can edit SQL, Python, and application code and run your installed tools. Build the analysis logic, tests, and interface in one project, with the changes available as file diffs.

04 / COMMON QUESTIONS

More about Cenmax AI
for your team.

How do we connect our warehouse?

Expose definition lookup and permitted query execution through tools in your Cenmax AI API application. Your data access layer controls credentials, query scope, and which results a user can receive.

Can the application use our metric definitions?

Yes. Make your definitions, dimensions, and approved query patterns available to the workflow. Build tests around known questions so the experience follows the same business logic as your reporting.

How should we use investigation results?

Use the supporting queries and data to evaluate the findings. A change by segment can identify where to investigate further; your analysts should validate causal explanations and consequential decisions.

KEEP EXPLORING

Connected work.

All solutions

BUILD WITH CENMAX AI

Put Cenmax AI
to work for you.

Bring your next project to Cenmax AI. Work with our agent tools or build AI into your own application through the API.

Start building View pricing

Explore Cenmax AI tools and capabilities