Skip to content
zensation

Research

🔬

Research overview

Three tracks, architecture and agenda

📐

Methodology

Operational standards and validation

📄

Publications

Preprints, software, identifiers

⚖️

Research ethics

Fundamental rights and compliance

🧰

Resources

Code, data, citation, open science

Collaboration & applications

🏛️

Public sector & funding

Collaborations in the public sector

🛡️

Protecting public spaces

Track B — rights-preserving early warning

⚙️

Technology

ZenBrain as the cognitive core

AboutOpen SourceDevelopersBlog
Contact
zensation

Research

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

Collaboration & applications

🏛️Public sector & funding🛡️Protecting public spaces⚙️Technology
AboutOpen SourceDevelopersBlogContact
Independent AI Research Lab

Clarify Complexity. More Than Just AI.

One cognitive core, ZenBrain — and the specialised fields built on it: from AI-assisted knowledge work to safeguarding public spaces. Civil-liberties architecture as a design principle, explicitly without biometric identification.

Explore research →ZenBrain on GitHub
External data & applicationsStructured memory📄Documents💬Communication📋Project planning📊Business intelligence💻Code🌐Web+Extensible010203040506077 memory layersZenBrainCOGNITIVE CORE
External data & applications
📄Documents💬Communication📋Project planning📊Business intelligence💻Code🌐Web+Extensible
↓
ZenBrainCognitive core
↓
Structured memory · 7 memory layers

Who we work with

Four ways into our research

Public sector & operational bodiesFundamental-rights-preserving early warning and situational analysis for public spaces — explicitly without biometric identification.→Research & academiaOpen-access publications, methodology, replication material, and persistent identifiers.→Funders & consortiaFunding and consortium pathways, host-readiness, and joint proposals.→CompaniesZenBrain as a vendor-neutral cognitive core — connecting enterprise data with your chosen language model.→

Research with applications

From paper to production

Our cognitive architecture runs in production systems today. The same algorithms we publish power real software — evidence that the research carries through.

✓
ZenAI — Knowledge-work platform — self-hosted, running in production
✓
ZenCRM — iOS app in the App Store — built on the ZenBrain architecture
✓
ZenBrain — Open-source core on npm — 7-layer memory, Apache 2.0

Architecture

One architecture, many applications

ZenBrain is both research core and application core: modular applications for different domains. The same seven-layer memory architecture carries every application — only the domain adaptation varies.

CrowdGuardSafety in public spacesZenAIKnowledge work (in production)ZenCRMCRM with memoryCustom DomainsResearch partnershipsZenBrain7-LAYER MEMORY

Memory layers

  1. 01Working
  2. 02Short-Term
  3. 03Episodic
  4. 04Semantic
  5. 05Procedural
  6. 06Core
  7. 07Cross-Context
The architecture is designed domain-agnostically. Research partnerships, public-sector cooperations, and industrial applications can build on the same cognitive core without modifying it.
ZenAI — applying the ZenBrain memory architecture in a production AI operating system
ZenAI in production: the same ZenBrain architecture as an AI operating system for knowledge work — the same approach extends to further domains.

Research track — public-space safety

CrowdGuard

Research on early recognition of critical situations in public spaces — explicitly without biometric identification, with civil liberties built into the architecture by design.

What we explicitly do not do

  • ✗No facial recognition
  • ✗No biometric identification
  • ✗No real-time person tracking

What we work with

  • ✓Skeletal and motion data — without facial features
  • ✓Three-outlier model differentiating source / helper / knower
  • ✓Helper protection as an explicit objective

Research prototype · GDPR Art. 89 · designed under the EU AI Act

More on the research architecture →Research ethics & compliance →

Seven Pillars. One Intelligence.

The ZenBrain architecture connects seven cognitive systems — from working memory to metacognition — into one memory.

Cognitive architecture overview

Cognitive Core🧠Memory🔗Reasoning🤖Agents📄Output🔍Curiosity📈Prediction🎯Metacognition
🧠

Remembers Everything

7 memory layers — from active context to lasting knowledge, with spaced-repetition-based scheduling.

🔗

Thinks in Connections

Cross-context reasoning, multi-step inference, and automatic fact-checking.

🤖

Acts Autonomously

Persistent agent loops with checkpoints, tool composition, and dynamic teams. Pause, resume, debate.

📄

Delivers Results

PPTX, XLSX, PDF, DOCX — straight from the chat. CLI agent for the terminal.

🔍

Asks on Its Own

Knowledge gap detection, hypothesis engine, information gain scoring.

📈

Recognizes Patterns

Pattern tracking, prediction engine, and prediction error learning.

🎯

Knows Its Limits

Confidence calibration, capability profiling, feedback loop. Calibrated uncertainty instead of hallucination.

12 / 12head-to-head comparisons won (3 LLM judges)
91.3 %of long-context-oracle accuracy at 1/106 of the token budget
15algorithms, each with a peer-reviewed source
Apache 2.0open-source memory core on npm
Open Accesspreprint (arXiv) + DOI (Zenodo)

Empirical results from the open-access preprint (arXiv 2604.23878), LongMemEval-500 benchmark with three independent LLM judges. Methodology and full results on the publications page.

An open ecosystem. Three ways to collaborate.

Three ways to work with this research — an open-source core, open-access publications and scientific cooperation.

OPEN SOURCE

The open core

ZenBrain — the seven-layer memory architecture as an open-source library. TypeScript, zero dependencies, Apache 2.0.

Explore the open core →
PUBLICATIONS

Openly verifiable

Open-access preprint on arXiv, permanently archived with a DOI on Zenodo — including replication material and citation formats.

View the publications →
COOPERATION

Research together

Research collaborations, joint funding proposals and methodological exchange with universities, companies and the public sector.

Discuss a collaboration →

Data sovereignty and compliance

Self-hosting, EU data protection, and EU AI Act conformity are built in as design constraints, not add-ons.

✓
GDPR-Native — Built for EU data regulations from day one
✓
EU AI Act Ready — Audit logs, governance dashboard, compliance tools
✓
Your Infrastructure — Data never leaves your servers — zero cloud dependency
✓
Traceable AI — Extended Thinking shows every reasoning step
✓
Open-Access Research — Published research paper with DOI (10.5281/zenodo.19353663) and arXiv preprint (2604.23878)

Newsletter

No spam. GDPR-compliant.

© 2026 Alexander Bering / ZenSation Enterprise Solutions

HomeResearchMethodologyResearch ethicsPublic sectorPublicationsResourcesZenAIOpen SourceDevelopersTechnologyAboutBlogChangelogPrivacy PolicyLegal Notice
Download on theApp Store
GitHubLinkedInarXivZenodoORCIDScholarSemantic ScholarHuggingFacenpmDiscord