Draft v0.2 — Internal Platform
Mind·Body·Environment

Qualia Administration

A 4-tool interconnected intelligence platform bridging cognitive science, anthropometric profiling, and spatial design — empowering architects to create environments that coherently serve their users' minds, bodies, and social needs.

Stack
AWS Serverless
Compliance
GDPR + EU AI Act
Philosophy
Self-Correcting
Growth
Ever-Growing
01 — System Overview

The MBE Ecosystem

Four tools forming a closed feedback loop. Theory feeds Profiling, Profiling feeds Design Coherence, Design feeds Spatial Activation, and Activation feedback refines everything upstream.

Tool 01 — MBE Theory
Theory Engine
Academic papers · Design standards · Evidence Indicators
OUTPUT → Evaluation Frameworks for T2 + T3
Tool 02 — MBE Perceptual
Anthropometric Profiling
Psychological · Physical · Social dimensions
OUTPUT → Multi-dimensional User Profiles
Tool 03 — MBE Experience
Coherence Engine
Profile ↔ BIM Design matching · Layout · Materials
OUTPUT → Coherent Design Specifications
Tool 04 — MBE Spatial
Activation Engine
Onboarding · Space instructions · IoT · Adaptive
OUTPUT → User Guidance + Feedback → ALL TOOLS
Self-correcting feedback loop — T4 refines all upstream tools
02 — Platform Components

The Four MBE Tools

Each tool is a standalone product. They share a common event bus, data layer, and compliance infrastructure — forming a living, self-correcting system.

01
MBE Theory

Theory Engine

Ingests academic papers, design standards, and evidence to extract indicators for human-centered design. Produces structured evaluation frameworks — the intellectual foundation for the entire MBE platform.

NLP PipelinePaper IngestionKnowledge GraphsIndicator ExtractionFramework GenerationCitation Tracking
Inputs
Academic APIsRSS feedsDesign standardsT4 feedback
Outputs
Evaluation FrameworksEvidence BaseValidated Indicators
02
MBE Perceptual

Profiling Engine

Evaluates users across psychological (Big5, cognitive patterns), physical (mobility, sensory acuity), and social (interaction preferences, cultural context) dimensions. All data classified as GDPR special-category.

Big Five TestsAnthropometric DataAdaptive QuestionnairesSensory ProfilingSocial MappingGDPR Art.9
Inputs
Frameworks (T1)User responsesBehavioral data
Outputs
Pseudonymized ProfilesCohort SegmentsNeed Maps
03
MBE Experience

Coherence Engine

The flagship matching engine. Loads pseudonymized user profiles against BIM architectural models and simulates experiential impact — optimizing layouts, materials, lighting, acoustics, and wayfinding.

BIM/IFC ParsingProfile MatchingImpact SimulationMaterial AdvisorLighting EngineAcoustic Analysis
Inputs
Profiles (T2)Frameworks (T1)BIM/IFC filesArchitect specs
Outputs
Design RecommendationsImpact ScoresCoherent Specs
04
MBE Spatial

Activation Engine

Post-construction continuous engagement. Dynamically generates personalized space instructions, onboarding flows, and adaptive guidance. Collects usage feedback that flows back to all upstream tools — closing the loop.

Dynamic InstructionsOnboarding FlowsUsage AnalyticsFeedback CollectionAdaptive ContentIoT Integration
Inputs
Design Specs (T3)Profiles (T2)Building IoT data
Outputs
User GuidesFeedback to T1,T2,T3Usage Insights
03 — Core Principles

Built for Trust & Rigor

Self-Correcting

T4 feedback continuously refines Theory, Profiling, and Coherence — a living system that improves with every interaction.

Privacy by Design

GDPR Art.9 compliance, pseudonymization, and encryption from day one. Architects see scores, never individuals.

Human-in-the-Loop

AI suggests, humans decide. Mandatory validation gates for psychologists and architects ensure quality and EU AI Act compliance.

BIM-Native

Built to parse IFC/Revit files and understand spatial semantics — walls, materials, lighting, acoustics as structured data.

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Mind · Body · Environment

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