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zensation

Research

🔬

Research overview

Three tracks, architecture and agenda

📐

Methodology

Operational standards and validation

📄

Publications

Preprints, software, identifiers

⚖️

Research ethics

Fundamental rights and compliance

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Resources

Code, data, citation, open science

Collaboration & applications

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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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Research

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

Collaboration & applications

🏛️Public sector & funding🧭Adopt AI🛡️Protecting public spaces⚙️Technology
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Independent AI Research Lab

Our research — across three tracks

Independent fundamental and applied research: open research cores such as ZenBrain — and the application fields built on them: applied AI for knowledge work (ZenAI) and safeguarding public spaces (CrowdGuard). Self-funded, open access, with civil-liberties architecture as a design principle.

Application fieldsTRACK BSafety in Public SpacesTRACK CApplied AI for Knowledge Work+Further domainsZenBrainCORE · TRACK A
ZenBrainCore · Track A
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Application fields

TRACK BSafety in Public Spaces
TRACK CApplied AI for Knowledge Work
+ Further domains

Core & application fields

One core, two application fields

FoundationTrack A

Cognitive Architectures

How AI remembers, reasons, and learns over time. Seven-layer memory architecture (ZenBrain), sleep consolidation, neuromodulator-driven consolidation, FSRS-driven review. The shared core that Tracks B and C build on.

Research outputs

  • ▸ZenBrain — open-source core on npm (Apache 2.0)
  • ▸Open-access papers on arXiv and Zenodo (DOI)
  • ▸15 neuroscience-grounded algorithms
Track A in detail →
Related:Publications·Research ethics·Technology
Track B

Safety in Public Spaces

Research on the early detection of critical situations in public spaces and at mass-casualty incidents — explicitly without biometric identification. Three-outlier model, helper protection as an objective, civil-liberties architecture in eight mandatory corrections.

Research outputs

  • ▸CrowdGuard — research prototype
  • ▸Civil-Liberties position paper in preparation
  • ▸OpenTimestamps-anchored research documents
Track B in detail →
Related:Research ethics·Publications·Public sector
Track C

Applied AI for Knowledge Work

ZenAI as the AI operating system for the enterprise: consolidating data streams, generating insights and alerts automatically, business intelligence — plus AI-augmented meetings, project management, and process mapping. How organisations adopt AI step by step, with humans at the centre.

Research outputs

  • ▸ZenAI — AI operating system for the enterprise, a productive research application
  • ▸Process-atlas methodology (in research)
  • ▸Three-year AI adoption framework (methodology in development)
Track C in detail →
Related:Research ethics·Publications·Technology

Research principles

What we commit to

Open access

Research outputs are published on arXiv and Zenodo with DOI — freely accessible, permanently archived.

Forensic integrity

Core research documents are anchored in time via OpenTimestamps. This produces a forensically verifiable priority anchor — independent of later publication dates.

Civil-liberties by design

Safety research with fundamental-rights grounding — explicitly without biometrics, with helper protection and the safeguard of political assemblies as structural design decisions.

Research with application

Algorithms are not only published — they run in production systems. Research has to hold up.

Methodological standards

How we work in practice

Pre-registration, reproducibility, external validation, documented ablation, and data minimisation are the operational standards against which we hold our work accountable from the first hypothesis to publication — documented in detail on the methodology page.

Operational detail on the methodology page→

Origins

How this research grew

A three-year arc — from the first conceptual sketch to architectural consolidation to open-access publication. The milestones below are documented in the internal development repository and in the publications themselves.

  1. 2009 – 2023

    Groundwork. Algorithmic work on statistical models, deterministic decision systems, and real-time processing. In parallel, several years of digitalisation and transformation projects — a twofold preparation that later shows in the architecture.

  2. Mid 2024

    The idea for a cognitive architecture with real long-term memory takes its first form. First sketches of a multi-layer memory structure drawing on neuroscience (Ebbinghaus, FSRS, Hebbian learning).

  3. 2024 / Early 2025

    Architectural principles take concrete shape: seven memory layers, sleep consolidation as a methodological core, Bayesian confidence propagation. In parallel, the civil-liberties architecture for the public-safety track matures.

  4. Mid – Late 2025

    First production implementations of the memory layers. Build-out of the test suite, methodological pre-registration via OpenTimestamps. Beginning of the research documentation as an independent source.

  5. January 2026

    Start of the production implementation phase in the current internal development repository. Eight consecutive architecture phases in the first two weeks.

  6. March 2026

    Consolidation as an open-source project. ZenBrain is extracted as a standalone package family and released on npm under Apache 2.0.

  7. April 2026

    Academic preparation. LaTeX paper infrastructure, ORCID profile, arXiv endorsement process, academic reputation strategy.

  8. May 2026

    ZenBrain preprint on arXiv (2604.23878) and Zenodo (DOI 10.5281/zenodo.19353663) — open access, fully documented, with replication material.

  9. Now

    Preparation of follow-up publications for peer-reviewed venues. Exploratory exchanges with universities and research consortia across the European research area.

Research agenda

What is next

Exploratory work and preparatory steps — kept strictly conditional until written consent or binding funding decisions are in place.

Horizon: 2026 – 2027

Track A — Cognitive architectures

  • ▸Follow-up publications focused on memory consolidation and sleep replay (peer-reviewed venues, in preparation).
  • ▸Stable releases of the Postgres and SQLite adapters for ZenBrain (Apache 2.0, npm).
  • ▸Replication packages with full eval scripts and datasets on Zenodo.

Track B — Safety in public spaces

  • ▸Civil-liberties position paper on a fundamental-rights-preserving safety architecture (in preparation).
  • ▸External validation of the three-outlier architecture via Notified-Body pre-assessment and an independent legal opinion.
  • ▸Exploratory exchanges with research consortia on proposals along BMBF SIFO and Horizon Europe Cluster 3.

Track C — Applied AI

  • ▸Methods paper on the process-atlas approach and the three-year AI adoption framework.
  • ▸Companion evaluation of the ZenAI platform in production settings.
  • ▸Preparatory exchanges with universities on joint application studies.

Concrete dates may shift; names of cooperating individuals and institutions are disclosed only after written consent.

Publications and identifiers

Where our research is visible

Open-access publications, software releases, and academic profiles at a glance.

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)

Collaboration

Research collaboration

We regularly explore collaborations with universities, research institutes, funding agencies, and public authorities. For research or consortium inquiries, please get in touch.

Send research inquiry →

More from this research

Related pages

Core and application fields, on a shared ethics foundation.

  • 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.
  • Principal Investigator →Profile, background, identifiers, contact paths.

© 2026 Alexander Bering / ZenSation Enterprise Solutions

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