Provenance stays visible
The original value and its source remain available alongside the extracted result.
AI that connects documents to your business. From data extraction to human review and controlled integration with your existing systems.
One shared core. Multiple business applications.
We are building a shared foundation for different business products. Models interpret content. Domain rules give it meaning. People stay in control.
Shared access to models, permissions,
versions and data provenance.
Samples, parameters, values and units linked to the source document. The first application of the shared core, with review before business-system writes.
Target architecture. LLM, Vision, RAG and business connectors are planned capabilities; not all have been implemented.
Distinct products.
A shared development direction.
Document Intelligence is the platform’s first module. The goal is a traceable workflow connecting extraction, review and business-system writes.
We preserve the original document and its identity. Each result is linked to a specific version, page and sample so its source can be checked again.
We are developing a workflow that turns laboratory reports into structured proposals for review and integration with business systems.
An entry point to HidRoBot will appear here when the application is available.
Sample: SYN-VODA-01
Reference: SYN-001 / Page 1
Select a result to see its source.
The “less than” operator is preserved. This is not a result equal to 0.01.
Business data must be traceable. These principles guide platform development from the first module.
The original value and its source remain available alongside the extracted result.
Corrections create revisions. Approval applies to one specific version.
Planned connectors use controlled business functions and permission checks.
A shared core does not mean sharing data between customers.
HidRoBot is the starting point. Shared capabilities grow through validated needs across other products.
A laboratory data contract, synthetic PDF examples and a local review workflow. A user-facing application and integration are still to come.
01 / HidRoBotAnswers from authorised documents, with a source and version. RAG is a future capability of the shared core.
02 / Knowledge with sourcesBusiness queries and bounded automation through approved functions. Dedicated applications for MATMASY, ECHUVIA and other products.
03 / Connected business workflowsThe platform is in development. This is not an offer of a fully implemented system or a claim of measured accuracy.
Let’s discuss your documents, existing systems and where traceable AI processing could make a difference.
Contact NEBITO Contact via the main NEBITO website