Security and compliance · Our own products
Available for implementationNubem Anonimizador
Our flagship project for integrating AI while protecting data at the source: original documents and data mappings stay within the client infrastructure; only anonymised content reaches NubemRouter and external models.
What this project addresses
- Detection of Spanish identifiers (national ID, NIE, IBAN…)
- Configurable strictness levels
- OCR for scanned documents
Example with fictional data
From the document to the next step
An illustrative walkthrough prepared for this page. This is not a live execution or a measurement of customer results.
- 1. Input
Fictional document: customer Aurora Example requests a review of contract A-001.
- 2. Proposed output
Content sent to the model: [PERSON_1] requests a review of [CONTRACT_1]. The mapping remains in the company environment.
- 3. Review and measurement
Review what the workflow detects, which fragments leave and whether restoration is correct. A demonstration does not guarantee detection of every data item in every document.
Video demonstration
Demonstration summary: Our flagship project for integrating AI while protecting data at the source: original documents and data mappings stay within the client infrastructure; only anonymised content reaches NubemRouter and external models. Detection of Spanish identifiers (national ID, NIE, IBAN…). Configurable strictness levels. OCR for scanned documents
We start with your process
Where should we start?
Tell us which task keeps repeating, which tools you use and what you would like to improve. In our first conversation, we will see whether automation makes sense.