Elastic Data: shape Dcycle's data model to your reality

Customers can now create custom categories and fields to store any data they need, beyond Dcycle's built-in compliance categories.

No more data limits

Until now, Dcycle only captured the minimum information needed for compliance. With Elastic Data, customers can adapt the data model to their own reality: create new custom categories for any type of data, and extend existing native categories with custom fields. This means all the richer data your organization already tracks can now live inside Dcycle, not just the fields required for reporting.

Built to be queried, not just stored

Elastic Data is MCP ready from day one, so all the custom categories and fields you create can be queried and integrated through the MCP Server just like native data. This turns Dcycle into a place where any customer data can live, be managed, and be turned into insights, a foundational step towards Dcycle becoming a true system of record.

30-minute demo

See it with your data

We show you how this works on an example close to yours.

Request a demo

More updates in Data Collection

See Data Collection →
  1. Record negative purchases and custom emission factors You can now log returns, corrections and credit notes as negative purchases without getting blocked.
  2. Bulk upload tasks via Excel Create all your project tasks in one go by uploading an Excel file instead of adding them one by one.
  3. Build workforce pivot tables faster with a new consolidated Social category Building reports with workforce data is now faster and more reliable, with all social categories unified and totals that always reconcile.
30-minute demo

See it with your own data.

Thirty minutes with our team. We show you how your data would come in, and what you would get out.

See Dcycle in action
  • No commitment
  • With your data
  • In your language

What your session looks like

  1. 01 You tell us what you’re being asked forCustomers, auditors or banks: what data and by when. 0–5 min
  2. 02 We show how your data comes inInvoices, ERP, suppliers: on an example close to yours. 5–20 min
  3. 03 You leave with a planWhat to automate first and how much time you save. 20–30 min
With someone from the team who then supports you