Large Language Model (LLM) Noise Level Data | 236 Countries Coverage | CCPA, GDPR Compliant | 35 B + Data Points | 100% Traceable Consent

Multi-Modal Dataset — Noise, Mobility & POI Visitation This dataset combines three critical data streams essential for training multi-modal AI models and powering urban intelligence applications: 1. Noise-Level Data • Over 10 million hours of measured and AI-interpolated noise-level data (dBA) collected globally. • Captures environmental noise intensity across streets, venues, and neighborhoods. • Enables AI models to learn real-world soundscapes, time patterns, and noise pollution dynamics. 2. Anonymized Mobility Patterns • Derived from 1M+ opted-in users, this data provides aggregated people movement information without exposing PII. • Tracks pedestrian and mobility flows, helping AI understand movement patterns, urban rhythms, and behavioral trends. 3. POI Visitation Data • Aggregated POI visitation data revealing how often users visit shops, restaurants, venues, and key locations. • Allows AI models to link human activity and visitation trends to both mobility and environmental conditions. Applications: This dataset is designed for cutting-edge AI use cases where real-world, multi-source information enhances model performance, including: • Multi-Modal AI Modeling Combine noise exposure, human mobility, and visitation data to train AI models that predict behavior, city dynamics, or urban livability. • Urban AI Simulations Train AI to generate, simulate, or improve urban digital twins, mobility predictions, and environmental condition models. • AI-Driven Smart City Solutions Power applications such as: • Autonomous mobility planning • Noise-aware routing • Infrastructure optimization • Dynamic OOH advertising placement • Sustainable urban development AI This dataset is ideal for academic labs, AI startups, simulation companies, and mobility or smart city platforms looking to develop AI models based on true urban dynamics. Data is fully anonymized, opt-in, GDPR-compliant, and available via CSV or S3. API under development.