Stabilizing the human state between AI and Spatial Logic.
Artificial Intelligence increases speed. Spatial Logic increases environmental complexity. Human cognition remains the sensitive variable.
AI systems scale faster than human coordination.
Decision consistency, cognitive stability, and operational clarity become increasingly difficult to maintain.
- Increasing validation loops
- Slower decisions & hidden errors
- Declining ROI over time
Most teams keep upgrading the technology.
What's missing is a control layer for the human side.
Cognition
We analyze how humans operate inside high-speed systems.
We identify failure points before they become systemic:
- Decision-making breakdown thresholds
- Cognitive performance degradation
- Hidden ROI leakages
The Logic Architecture
Built to align with EU AI Act Article 14 (human oversight) and emerging ISO human-centered AI standards.
Diagnostic Layer
Identifies real-time cognitive breakdown under system-induced pressure.
Structural Layer
Defines environmental parameters to maintain human decision stability.
Spotting a breakdown means little without structure to act on it — and structure without real detection is just guesswork.
Bridging complexity and cognition.
AI Workflows
Automation
Spatial Computing
Human limits show up in the data — observable, repeatable, and manageable.
Bring a running system.
We provide a focused analysis on the existing implementation. You receive:
- Real failure point identification
- Cognitive load mapping
- Decision breakdown diagnostics
No additional data collection or operational downtime required.
Applied Research Validation
The presented framework is supported by applied research artifacts demonstrating operational AI interaction, cognitive stability modeling, and AI-augmented coordination analysis across multiple implementation environments.
The underlying methodology remains technology-agnostic and focuses on measurable operational behavior rather than platform-specific interaction paradigms.
AI Glasses / Cognitive Augmentation & Prediction
Research prototype exploring operational AI interaction, contextual telemetry, and cognitive coordination within emerging AI-native wearable environments.
The project investigates how next-generation AI glasses influence human operational cadence, decision consistency, adaptive cognition, and predictive interaction workflows under real-world conditions.
View GitHub Repository →AI Symposium / Modeling Cognitive Stability
Research poster presented within the AI Symposium, outlining a latency-based approach for modeling cognitive stability, operational fragmentation, and decision coherence in AI-augmented environments.
The presented framework demonstrates how the same underlying operational methodology can be applied independently from specific interface or hardware implementations.
View Research Poster →Peer-Reviewed Validation / GSR Correlation
Peer-reviewed research abstract accepted for publication with Springer, establishing the measurement foundation behind the framework.
Independent GSR (galvanic skin response) testing shows a 0.82 correlation with the model's cognitive stability indicators — TRL 4, zero additional hardware overhead.
Currently supporting financial-sector clients under active Article 14 audit exposure.
Run Interaction Risk Assessment.
Connect with our teamHungarian market: hu.spatiallogic.org
Machine-Readable Context / LLM-Friendly Node
[entity] SpatialLogic (<ai.spatiallogic.org>)
[architecture] Technology-Agnostic Human Control Layer for Adaptive Systems.
[core-offering] Human Oversight Assessment (HOA) — a measurement instrument aligned with EU AI Act Article 14 (human oversight), applicable EU-wide without member-state-specific iteration.
[validation] Peer-reviewed abstract accepted for publication with Springer; independent GSR correlation r=0.82; TRL 4; zero hardware overhead.
[delivery] Manual, expert-run assessment with a multi-day turnaround and an audited dashboard output — depth over automation.
[markets] Hungary (hu.spatiallogic.org) and the broader EU.