Choose a product
Choose AutoML for machine-learning models. Choose Reproducible Analytics Studio for statistical analysis, tables, figures, and reports.
Products, access, and pricing
Compare the two main products, inspect the proof, and decide whether to request access for your workflow.
Company overview
Access by request
Examples before access
Compare products
Start with the work you need to do.
Start with the plain-language fit below. The detailed product pages explain the technical terms and evidence when you need them.
| Product | Best fit | Access status | Access and pricing | Next step |
|---|---|---|---|---|
| Xalec AutoML Services Automated machine learning |
For predicting or classifying an outcome from your data. Upload data, check it, train and compare models, see why results change, then review and save reports. | AutoML workspace access is currently by request. | Subscription allowance plus credits is the intended model; detailed checkout and usage estimates will live in the AutoML platform. | View AutoML overview → Discuss AutoML access → |
| Reproducible Analytics Studio Statistical analysis and reporting |
For statistical analysis, tables, figures, and reports. Check the data, explore it, create source tables, review results, and export a report package. | RAS workspace access is currently by request. | Early access is currently offered through scoped pilots. Plan and usage details are confirmed during onboarding. | View product overview → Discuss RAS access → |
Getting access
How access works
Both products begin with a short fit discussion. This keeps access, onboarding, and pricing aligned with the work you want to do.
Review an example
Look through a completed run or statistical-analysis example to see the checks, outputs, and reports each product can keep together.
Request access
Send a short note about your workflow. Xalec AI will confirm fit, onboarding, and the relevant pricing details.
Before you request access
Review the detail that matters to your work.
Exact checkout and usage estimates live in the product workspaces. Use these materials to understand the product before you decide whether to request access.
Explore
Review examples before you ask for access.
Open the completed AutoML run, the Reproducible Analytics Studio example, and the docs to see the kind of outputs each product keeps visible.
Pilot or early access
Start with a scoped workflow.
For near-term use, share the product, dataset type, workflow, expected outputs, and timeline. That makes it easier to confirm whether a pilot or early-access path is realistic.
Request access →Organization
Discuss security, data handling, and support early.
For team or institution use, the right conversation includes privacy, retention, secure transfer, support expectations, and whether a dedicated setup is needed.
Review security basics →Product workspaces
Live work happens in each product workspace.
This company site helps you compare products. AutoML and Reproducible Analytics Studio keep live uploads, saved jobs, pricing details, and support inside their own workspaces.
Trust and security
Review the basics before sharing data.
Review security, privacy, responsible disclosure, and legal basics before sharing data. Product-specific data handling should be confirmed in the relevant product workflow before live customer data is used.
Access or fit discussion
Tell us what you want to run.
A useful first note includes the product, dataset type, workflow you want to improve, whether the work is individual or team-based, and any security or timeline constraints. If your work sits outside AutoML or Reproducible Analytics Studio, we can discuss whether it should be scoped separately.