Claude — Anthropic
EU AI Act Annex I / II / III classification.
GDPR art. 22 — automated decisions.
DPIA art. 35 mapping.
Compliance report + PDF export.
Cognitive Logic's AI engine is an orchestrated dual-brain system:
Claude (Anthropic) for EU AI Act + GDPR compliance,
Gemini (Google) for QEN scoring and market intelligence.
Parallel execution via /full-analysis.
Ethical alignment as a computational substrate, not post-hoc.
Two LLMs with distinct specialisations, orchestrated in parallel by
orchestrator.py.
Each request to /full-analysis
activates both brains simultaneously and returns a unified output.
EU AI Act Annex I / II / III classification.
GDPR art. 22 — automated decisions.
DPIA art. 35 mapping.
Compliance report + PDF export.
QEN scoring (Vs · Va · Vt).
Market intelligence and sector scanning.
Territorial data analysis.
Batch ETL pipeline for scoring.
Each Pure Data Node carries verified identity, semantic structure, ethical metadata and an explainability layer. AI operates on these nodes, not on raw data.
Every node is cryptographically anchored via Decentralized Identity (DID).
did:web:cognitivelogic.it:robertomalini.
No data without verifiable provenance.
97 nodes · 182 relations (graph v5). Node types: institutions,
algorithms, regulations, KPIs, territories. Source of truth
on Hetzner /root.
QEN scores embedded directly into data objects.
QEN = (Vs × 0.40) + (Va × 0.35) + (Vt × 0.25).
Scale 0–100. Reference: CNA Bologna = 77.75.
All cognitive operations remain traceable and verifiable. Every decision produces a reconstructible logical chain. PDF report export via jsPDF.
Semantic parsing, normalisation, integrity validation. JSON-LD via /validate.
Dynamic relational modelling across cognitive domains. 97 nodes · 182 relations (v5).
Claude + Gemini in parallel. Neuro-symbolic inference, QEN scoring, EU AI Act + GDPR compliance.
Continuous assessment via QEN. Real-time score. PDF report. Unified orchestrator output.
api.cognitivelogic.it —
Nginx · Flask :5000/:5001 · SSL Let's Encrypt · Hetzner CAX21 ARM64.
EU AI Act Annex I/II/III classification.
GDPR art. 22 / art. 35 mapping.
Integrated QEN Score. Rate limit: 10 req/min.
Dual-brain execution: Claude + Gemini simultaneously.
Unified output: compliance + QEN score + market scan.
Main endpoint for complete analyses.
QEN scoring across three dimensions (Vs · Va · Vt).
Batch ETL pipeline. Territorial data analysis.
Market intelligence and sector scanning.
Multi-institutional by zone and supply chain.
ETL open.er.it · CCIAA TelemacoPay.
2000+ nodes · Enterprise scale.
Not post-hoc — structural. Embedded in the knowledge graph, QEN weights, EU AI Act classification. Ethics is not a narrative — it is a dataset.
EU AI Act classification, GDPR compliance, algorithmic auditing. AI governance as operational infrastructure, not documentation.
Neurogastronomy, sustainability metrics, behavioural cognition. QEN scores for artisanal ecosystems and local supply chains — Bologna 100 Botteghe.
Semantic knowledge graph v5. Static JSON on Hetzner /root. 97 nodes · 182 relations. Node types: institutions, algorithms, regulations, KPIs, territories.
Institutional dashboard. ETL CCIAA TelemacoPay. Enterprise CCIAA · Regione ER. Roadmap Q4 2026 – Q1 2027.
Pre-assessment for state concessions and street markets.
Endpoint /agents/bolkestein-assessment:
scarcity test, CJEU case law C-458/14 and C-20/21,
risk_level, territorial QEN, evidence dossier for 2027 tenders.