BrainPredict Smart City Documentation
Urban AI Operating System — 35 specialised models for traffic, energy, emergency response, ISO 37120 ESG reporting, and multi-city Digital Twin Federation (BP-105a + BP-106).
Platform Overview
BrainPredict Smart City delivers end-to-end urban intelligence:
- Real-time traffic optimisation with adaptive signal control and incident detection
- Smart grid forecasting, demand-response, renewable dispatch, and peak-shaving
- Flood, air-quality, and infrastructure-fatigue early-warning with conformal 90% bands
- Multi-city Digital Twin Federation (BP-106) — FedAvg + Gaussian DP (ε=0.8) under GDPR Art.89
- ISO 37120 + CSRD ESRS auto-reporting (E1/E2/E3/E5 + S1) with Merkle-anchored evidence
- Sovereign air-gapped deployment (BP-105a claim 4) — Bell-LaPadula MAC + Dilithium-3 + Ed25519 manifest for government
- Cross-platform wiring (BP-105a) — carbon → Finance CSRD accrual, flood → Risk + Finance provisions, emergency → Risk + Finance
35
AI Models
90%+
Conformal coverage
32
REST Endpoints
ISO 37120
+CSRD ESRS
Getting Started
Deploy BrainPredict Smart City and ingest ISO 37120 KPIs
Getting Started Guide12 min readAI Models
All 35 urban AI models — traffic, energy, emergency, ESG, DT federation
AI Models Guide35 min readCity & Utility Integrations
SCADA, GTFS, OPC-UA, ERDF/TERNA, ISO 37120 data brokers, CSRD repositories
City & Utility Integrations Guide25 min readAPI Reference
32 REST endpoints — incidents, traffic, grid, federation sync, ESG export
API Reference Guide30 min readUse Cases
Traffic optimisation, flood early-warning, peak-shaving, multi-city consortiums
Use Cases Guide22 min readBest Practices
Conformal calibration per district, DP-ε tuning, CSRD audit trail, HITL gates
Best Practices Guide18 min read