Research pipelines, a content engine and governance controls inside one workspace—built in Germany, hosted in Europe, powered by mix-and-match models.
BBN AI Space combines language and image models (incl. ChatGPT-4.1/o3, Claude 4, Gemini 2.5, Perplexity Deep Research, DALL·E/FLUX) inside one platform and ships two core apps: Multi-Deep-Research for structured research and the Content Engine for controlled, multi-step content creation.
Hosted in the EU with a roadmap co-created with BBN partners.
Updated: 06 Nov 2025
Multi-Deep-Research captures sources, hypotheses and exports inside one flow—team-friendly and reviewable.
Approvals, roles, audit trails and traceable decisions ensure quality and compliance.
Outline → Draft → Review → Distribution—with the right model per step plus brand guidelines.
BBN templates, best practices and examples are ready to use and easy to adapt.
Hosted in Europe with on-prem/hybrid deployments available and DPAs per Art. 28 GDPR.
KPIs such as time-to-research, content output or reuse rates stay monitored continuously.
Weekly updates ship new features, workflows and models sourced from the BBN network straight into the workspace.
Studio: Combined expertise from the BBN network; centralized EU-hosted infrastructure; consulting and engineering.
Academy: Masterclasses, on-demand courses (DE/EN), role- and level-specific; weekly news/use cases.
Solutions: Preconfigured modules for websites and marketing channels.
Yes. We ship new features/adaptations in weekly sprints based on BBN priorities.
Yes. Models can be switched, workflows versioned and extended.
In the environment BBN requests (cloud/on-prem/hybrid).
For interested teams
Project: BBN AI Space. Updated: 06 Nov 2025.