Today
Every app is a separate data silo.
Data is stored in separate systems. It has to be copied, synchronized, and maintained multiple times.
simple. safe. sovereign.
Bring your relevant data and AI together in a secure workspace – for greater productivity and control over your data.
The problem & the solution
Today
Data is stored in separate systems. It has to be copied, synchronized, and maintained multiple times.
The usual answer
AI agents connect separate data stores after the fact — but they do not solve the underlying fragmentation and can create new data silos themselves.
Weisscam
Integrated modules and AI agents work directly with the same data, permissions, and context.
Working with AI generates a wealth of additional information: chat histories, analyses, reasoning steps, memories, and work results. Custom prompts, skills, and agent workflows add even more. Depending on the provider, this information may be stored and managed separately from existing business data.
Not with Weisscam: Seven integrated modules enable productive work without AI, all on a shared data foundation. When AI is enabled as needed, newly generated information is stored there too – centrally managed and governed by a unified data retention and deletion policy.
Use cases
Eight modules. One shared data foundation. Enable AI when needed. Choose your AI context freely – for efficient work across different areas.
Benefits
Knowledge and data remain usable together across every module.
The container application brings every modules onto the same data layer.
Information remains easy to find and useful in the right context.
Shared data avoids unnecessary copies and repeated maintenance.
People and agents work in one workspace with the same data.
Open formats, open models and self-hosting preserve freedom of choice. The open-source release is in preparation.
Digital sovereignity