Product

Your data. In one place.

Upload, create, edit, organize, and analyze relevant business data — together with people and AI agents on a shared data foundation.

Product architecture

Open data layer. Open formats.

PostgreSQL, Milvus and object storage form one open-source-based data layer. Proprietary file formats are transformed into open, exportable data formats. All seven apps work on that foundation.

Transform

Upload & Research

Upload files, transform them into standard formats, research within them, and interact with agents.

  • Shared data
  • Permissions and history
  • Research on transformed data
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Unstructured data

Notes

Upload and edit unstructured data such as .pdf or .docx files, or create new content — without being tied to a proprietary document format.

  • Edit text and knowledge
  • Work with people and agents
  • On the same data basis
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Structured data

Spreadsheets

Upload and edit structured data such as .xlsx or .csv files, or create new content — without being tied to a proprietary document format.

  • Tabular editing
  • Consistent permissions
  • No separate data silo
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Understand

Analytics

Analyse data and reveal relationships without building a separate copy.

  • Shared context
  • Traceable results
  • Structured and unstructured data
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Organise

Kanban

Organise work as boards and connect tasks directly to the underlying data.

  • Flexible presentations
  • Connected data
  • Shared responsibilities
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Develop

Whiteboard

Develop ideas visually and connect them with existing knowledge and structured data.

  • Visual collaboration
  • Data in context
  • One consistent foundation
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Relate

Contacts

Maintain contacts as structured data and relate them to projects, knowledge and activities.

  • Central contact data
  • Flexible relationships
  • Role-based access
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Integrated AI

AI Agents

Integrated AI agents that only work with the data you explicitly authorize — based on open-source LLMs.

  • Integrated – no separate AI application
  • Sovereign – open-source LLMs instead of dependence on proprietary models
  • Controlled – the user defines the context
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Custom apps

Custom apps. The same data.

Weisscam can be extended for specialised work. Every additional app uses the same data layer, permissions and agent context.

People & Agents

People and agents. The same data. Clear control.

The Standard Agent supports tasks within approved context. The Deep Search Agent researches more deeply across approved data. Skills extend both with clearly defined capabilities.

Agents do not receive blanket access. Permissions, context selection, roles and approvals constrain their work.