Your infrastructure
Deploy April Flow inside your own infrastructure, private cloud, or data center.
Sovereign AI
Run sovereign AI inside your own infrastructure.
April Flow can be deployed inside your own environment, giving your organization control over documents, databases, AI processing, infrastructure, traceability, and operating costs.
AI should not require losing control over your data.
Many organizations want to use AI, but cannot accept sending confidential documents, business knowledge, client files, legal information, or operational data to external platforms.
April Flow is designed for organizations that need the benefits of AI while keeping control over where data is stored, searched, and processed.
Your data
Documents, knowledge databases, prompts, and context can remain inside your environment.
Your rules
Align AI adoption with your internal security, governance, compliance, and cost policies.
Avoid dependency on external AI platforms.
April Flow can operate without relying on external AI services. Your organization is not forced to send prompts, documents, context, or business data to third-party AI providers.
Your AI assistant works with your documents, in your environment, under your rules.
No external AI service dependency
Private document processing
Infrastructure controlled by your organization
Governance aligned with internal policies
Managed infrastructure option
Sovereign AI can also rely on managed private cloud infrastructure.
Some organizations want a sovereign deployment of April Flow, but do not want to operate every infrastructure layer internally.
In that case, April Flow can be deployed on infrastructure operated by April Computers, April Software’s managed private cloud and cloud services offer.
This can support organizations that need private cloud operations, monitoring, backup, recovery, or operational support while keeping April Flow focused on documents, data, and contextual AI answers.
April Flow
Sovereign AI assistant for documents and data.
April Computers
Optional managed private cloud infrastructure and operations.
Deployment choice
Use your own infrastructure, April Computers Cloud, or a hybrid approach.
Operational support
Infrastructure, backup, recovery, monitoring, and private cloud operations can be discussed together.
Transparent AI
Traceable answers for controlled environments.
In sensitive environments, users need to understand where an AI answer comes from.
April Flow can connect responses to the document extracts that supported them, helping users verify answers against the original source material.
This supports a more transparent and controlled use of AI, especially when documents are confidential, regulated, or business-critical.
Governance view
Every answer can remain connected to the selected Collections and supporting document passages.
Source document
Compliance policy.pdf
Relevant extract
“Access to restricted data must be reviewed and approved before processing.”
User action
Open original document with highlighted passage.
Control costs when you control the infrastructure.
External AI services often create variable costs based on usage, requests, tokens, or volume.
With April Flow deployed on your own hardware, operating costs can become more predictable. Once the infrastructure is available, usage is not directly tied to external AI API consumption.
Use infrastructure you already own.
Organizations that already own servers, GPUs, private cloud capacity, or data center resources can use April Flow as part of their existing technical environment.
Built for organizations with strict requirements.
April Flow Sovereign Deployment is especially relevant for enterprises, public sector organizations, legal teams, compliance teams, healthcare and research environments, industrial companies, financial organizations, and security-sensitive environments.
The goal is simple: give users the benefits of AI while keeping sensitive knowledge under organizational control.
Bring AI to your documents without giving up control.
April Flow helps organizations use AI with their own documents and data while maintaining control over deployment, infrastructure, traceability, and cost.