Know what matters.
Identify sources, relationships, and the meaning of net revenue.
Built-in data tools. Connected AI.
A faster path to business results.

Describe the result you need. DataRig helps prepare the work, brings it together, and gives your team a plan to review.
“Bring billing, customers, and refunds together. Show net revenue by customer segment and flag anything that doesn’t match.”
Identify sources, relationships, and the meaning of net revenue.
Prepare a workflow to combine data and check its quality.
Inspect the proposed plan and approve supported actions.
Explore revenue by segment and investigate unmatched records.
Concept demonstration. Supported integrations and execution vary by task.
DataRig brings data preparation, workflows, exploration, and reporting into one application—with AI connected to the tools that do the work.
Less time moving between tools. More room for your team to focus on the questions that matter.
One DataRig.Built-in tools.Follow a revenue reporting example, from understanding the request to preparing a view your team can use.
For this example, net revenue means billed revenue minus refunds. Match transactions to customers and flag records that cannot be linked.
Business context stays visible alongside the proposed work.
Illustrative workflow, not a live product session. Sample figures are fictional. Integrations and execution support vary by task.
“Show us where revenue comes from—and what doesn’t add up.”
Bring billing, customer, and refund records into a shared workflow. Prepare reporting with checks that make exceptions easier to investigate.
Connect a supported local model to the built-in data tools. A practical fit for teams exploring AI within their own environment.
Bring a supported local model or choose a hosted provider. DataRig gives that intelligence a place to help with real data work.
Model compatibility and capabilities vary. Hosted providers may receive context sent to them and may charge usage fees.
Explore the architecture ↗Review the plan and generated work before approving supported actions.
Let AI help with routine preparation while your team handles business logic and exceptions.
Work with open data formats, with room to explore beyond a single interface.
DataRig brings built-in data tools into one application and connects supported AI models to the workflow. You can work across data preparation, exploration, and reporting from a shared workspace.
DataRig supports local models and supported hosted providers. If your team has an in-house model, we can discuss its interface and suitability during a demo. Compatibility depends on the model and connection method.
AI helps propose plans and prepare work. Your team reviews generated work and approves supported actions. What can run depends on the task, integration, and current product support.
The desktop app is free. AI provider fees may apply. Check the getting-started guide for current system requirements and setup steps.
A one-hour session covering the workspace, a supported data workflow, and a discussion of where DataRig could fit your team. Tell us about your use case when you reach out.
Explore the free desktop app, or walk through
a business workflow with us in a one-hour demo.