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Research

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Research overview

Three tracks, architecture and agenda

📐

Methodology

Operational standards and validation

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Publications

Preprints, software, identifiers

⚖️

Research ethics

Fundamental rights and compliance

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Resources

Code, data, citation, open science

Collaboration & applications

🏛️

Public sector & funding

Collaborations in the public sector

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Adopt AI

Neutral roadmap & interactive simulation

🛡️

Protecting public spaces

Track B — rights-preserving early warning

⚙️

Technology

ZenBrain — our open core

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zensation

Research

🔬Research overview📐Methodology📄Publications⚖️Research ethics🧰Resources

Collaboration & applications

🏛️Public sector & funding🧭Adopt AI🛡️Protecting public spaces⚙️Technology
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Principal Investigator

Alexander Bering

Independent Researcher · ZenSation Research · Kiel, Germany

Research on cognitive architectures, AI safety in public spaces, and applied AI for knowledge work. Self-funded without external third-party funding. Open access on arXiv and with DOI on Zenodo; code under Apache 2.0. Alongside the research, he partners with organisations on methodologically grounded AI adoption — as a research partner, not a vendor.

Research focus

Three research tracks

Cognitive architectures

How AI remembers, reasons, and learns over time — seven-layer memory architecture (ZenBrain), sleep consolidation, neuromodulator-driven consolidation, FSRS-driven review.

Safety in public spaces

Predictive early warning in public spaces under a civil-liberties architecture (CrowdGuard) — explicitly without biometric identification, helper protection as a structural element of the objective function.

Applied AI for knowledge work

Research on human–AI collaboration in organisations — meetings, project management, knowledge work, and process mapping, including a methodology for structured AI adoption. At its centre is ZenAI as a productive research application — a vendor-neutral AI operating system on the open core ZenBrain, where we test whether the memory research holds up in daily use.

Identifiers

Academic profiles and identifiers

arXiv2604.23878 (opens in new tab)Zenodo (DOI)10.5281/zenodo.19353663 (opens in new tab)ORCID0009-0001-1793-012X (opens in new tab)Google ScholarAlexander Bering (opens in new tab)Semantic ScholarAlexander Bering (opens in new tab)GitHubzensation-ai (opens in new tab)DUNS (D&B)317163443 (opens in new tab)

Background

Professional and research-biographical background

  1. Since 2009

    Early work on algorithmic decision systems. Methodological foundation in statistical modelling, deterministic strategies, and real-time processing — the groundwork for the later memory research.

  2. 2012

    Work on digitalisation projects at scientific institutions — among others at the Leibniz Institute Berlin and at IQSH (Institute for Quality Development in Schools Schleswig-Holstein), on the digitalisation of learning and educational materials.

  3. 2010s–2020s

    Digitalisation and transformation projects at the corporate and stock-corporation level. Conception and delivery of process atlases, AI strategies, and AI-supported decision systems across industry contexts.

  4. Volunteer service

    Active volunteer service in civil protection and disaster response (German "BOS" — public-safety authorities and organisations) — with operational experience in incident coordination at large-scale emergencies, in CBRN response, technical rescue, and respiratory-protection operations, as well as committee work. This operational reality shapes the applied orientation of the public-safety track.

  5. 2024

    Reorientation toward fundamental and applied research. The idea for a cognitive architecture with reliable long-term memory takes its first form; in parallel, the question of fundamental-rights-preserving safety mechanisms for public spaces takes shape.

  6. 2025

    Conception and first implementation. Establishment of the three research tracks (cognitive architectures, safety in public spaces, applied AI for knowledge work). Build-out of the research documentation, pre-registration of central documents via OpenTimestamps.

  7. January – March 2026

    Start of the production implementation phase in the internal development repository. Build-out of the 7-layer memory architecture, the test suite, and the first application (ZenAI). Architectural consolidation across multiple phases. Late March: open-source release of the ZenBrain packages on npm under Apache 2.0.

  8. May 2026

    Publication of the ZenBrain paper as an open-access preprint on arXiv (2604.23878) and with a permanent DOI on Zenodo (10.5281/zenodo.19353663) — publicly accessible, with replication material.

  9. In preparation

    Follow-up publications for peer-reviewed venues. Exploratory exchanges with universities and research consortia across the European research area on consortium proposals along BMBF SIFO, Horizon Europe Cluster 3, and national funding lines.

Research collaborations

Scientific exchange

Research in an independent lab does not occur in a vacuum. Outreach to potential co-authors is consistently kept in conditional terms — names appear on this page only after written consent. This discipline protects potential partners and distinguishes exploration from established collaboration.

Outreach in progress

Outreach to research institutions across the German and European space is ongoing in waves 2026–2027. Cooperation partners are named publicly only after receipt of written consent.

Contact

How to reach us

Inquiries are typically answered within ten working days.

General research inquiryresearch@zensation.aiResearch ethics / DPIAethics@zensation.aiPublic sector / authoritiespublic-sector@zensation.aiData protectiondatenschutz@zensation.ai

More from this research

Related pages

Core and application fields, on a shared ethics foundation.

  • Research →Three tracks: cognitive architectures, safety in public spaces, applied AI.
  • Technology →ZenBrain in depth — 7 memory layers, algorithms, RAG pipeline, performance.
  • Adopt AI →A neutral roadmap for AI adoption — prioritisation, stage-gates, KPIs and EU AI Act / GDPR governance, with an interactive simulation.
  • Methodology →Pre-registration, reproducibility, external validation, data minimisation — operational standards in detail.
  • Publications →arXiv, Zenodo (DOI), software releases, open-access principles.
  • Resources →Code, replication material, BibTeX citation, licences, identifiers.
  • Research ethics →GDPR Art. 89, AI Act Art. 5, Brokdorf line. Eight mandatory corrections.
  • Public sector & funding →Research offerings for BMBF, BBK, universities and research consortia.

© 2026 Alexander Bering / ZenSation Enterprise Solutions

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