Sovereign AI for private knowledge

A sovereign AI assistant for your documents and data.

April Flow helps users ask questions over selected document Collections and receive answers grounded in the right context — with access to the document extracts that support them.

Selected Collections

Legal framework Internal governance

User question

What governance requirements apply to this institution?

April Flow thinking

Searching selected Collections, analysing relevant context, preparing grounded answer...

Supporting extracts

Verifiable

"The institution shall have a sufficient number of human resources with appropriate professional skills."

Generic AI is not enough when your knowledge matters.

Most AI assistants can generate fluent answers, but they do not automatically understand your documents, your data, or the specific context behind each question.

For organizations working with sensitive, technical, legal, operational, or business-critical information, this creates challenges around accuracy, privacy, control, and cost.

April Flow is designed for organizations that need AI to work with their own knowledge while keeping control over where data is stored, searched, and processed.

Private knowledge base

Store, organize, and use documents as a searchable knowledge base for AI conversations.

User-selected Collections

Users select one or more Collections so April Flow knows where to search before replying.

Verifiable answers

Users can access the document extracts that support the AI answer and open the original source.

Choose where the AI should look.

Documents in April Flow are organized into Collections. A Collection can represent a department, project, client, product, procedure, topic, or any other knowledge area.

Before asking a question, users select one or more Collections. April Flow searches inside those Collections and focuses its answer on the most relevant information.

Technical documentation
Legal contracts
Client project files
Internal procedures

Highlights

CSSF Legal Framework

5 extracts found
1.5

AI summary

Circular CSSF 12/552 defines central administration, internal governance, and risk management expectations for regulated institutions.

Lines 13-24

Open document

The changes relate to the implementation of a new chapter and clarify governance requirements applicable to institutions.

Lines 201-203

Open document

The principle of proportionality applies to governance arrangements based on the size and complexity of the institution.

Lines 448-457

Open document

The institution shall have sufficient human resources with appropriate individual and collective professional skills.

Trusted answers

From answer to evidence in one click.

April Flow does not only provide contextual answers. It also gives users access to the document extracts that helped support the response.

Users can open the original document, review highlighted passages, or browse a list of relevant extracts linked to their source documents.

This makes answers easier to understand, verify, and trust — especially when the source documents are legal, technical, regulated, or business-critical.

Relevant extracts

See the document passages that contributed to the answer.

Highlighted source documents

Open the original document with the relevant extract highlighted.

Traceable answers

Move from AI response to supporting evidence without searching manually.

AI that thinks before replying.

April Flow is designed to analyse context before producing an answer.

When a user asks a question, the assistant first searches for useful information inside the selected Collections. It then prepares a response aligned with the documents, data, and knowledge available to the organization.

This helps reduce generic answers and improves the quality of AI-assisted work.

Search selected Collections
Analyse relevant context
Prepare grounded response
Provide supporting extracts

Keep control over your data and infrastructure.

April Flow can be deployed as a sovereign AI solution, without relying on external AI services.

Organizations can host the application inside their own infrastructure, private cloud, or data center. Documents, databases, and AI processing remain under their control.

For organizations that also need managed private cloud infrastructure, April Flow can be deployed with April Computers as an optional infrastructure and operations path.

No external AI service dependency
Predictable infrastructure-based cost
Managed service or self-hosted application
Optional April Computers infrastructure support

Bring sovereign AI to your documents and data.

Give users an AI assistant that searches your knowledge before replying — and shows the extracts that support the answer.