As Found On
We collect a wide range of real-world datasets that can be layered and combined to unlock deeper insights and deliver more powerful intelligence.
Layered Intelligence
With 3-4 meter horizontal accuracy, our data offers the precision needed for detailed mapping, urban analysis, and smart infrastructure planning.
Hyper-local
Our datasets span over 200 countries, providing consistent, high-quality global coverage—with especially strong density in key regions across Europe, Asia, Africa, and the Americas.
Global Coverage
Fully compliant with global privacy regulations, including GDPR and CCPA. Data is sourced with explicit user consent, stored on the blockchain backed by on-chain certificates.
Verifiable Ethical Data Collection
Data Overview
Our datasets including Street and Venue noise level Check-In Noise Data are derived from millions of real-world noise measurements, statistically interpolated for spatial accuracy, and refined using advanced AI techniques in collaboration with leading acoustic experts who advise the European Union on sound policy.
Silencio's novel noise-level datasets have been awarded the Datarade Top 100 Data provider award for 2024.
Product Attributes
AttributeTypeExampleDescriptionad_id (hashed)String"********..."Unique identifier for the user, hashed to protect privacy.utc_timestampInteger1588236832Unix timestamp representing the time of data collection.horizontal_accuracyFloat5Accuracy of the location data in meters.id_typeString"aaid"Type of the identifier (e.g., aaid, idfa).ip_address (hashed)String"********..."Hashed IP address of the user’s device to protect privacy.longitudeFloat-122.416601Longitude coordinate of the user’s location.latitudeFloat37.776801Latitude coordinate of the user’s location.dbvalueFloat45.6Decibel value measured during the data collection.iso_country_codeString"us"ISO 3166-1 alpha-2 code for the user's country.Silencio - EXAMPLE.csv
AttributeTypeExamplead_id (hashed)String"********..."utc_timestampInteger1588236832horizontal_accuracyFloat5id_typeString"aaid"ip_address (hashed)String"********..."longitudeFloat-122.416601latitudeFloat37.776801dbvalueFloat45.6iso_country_codeString"us"Africa: 53 countries
Asia: 45 countries
Europe: 44 countries
North America: 23 countries
South America: 11 countries
Oceania: 14 countries
Total: 190
Avail. Format
.csv
File
Coverage
190
Countries
History
2
years
- CategoryUse CaseTarget AudienceDescriptionEnvironmentalESG & Urban PlanningGovernments, ESG funds, urban planners.Environmental datasets power ESG reporting and smart urban planning by providing real-time metrics like noise quality. Drives regulatory compliance, sustainability efforts, and healthier city design.Real EstateReal Estate ValuationsReal estate developers, transport authorities, navigation apps.High-resolution soundscape flows inform real estate valuations, transport planning, and congestion management. Enables better infrastructure investment decisions and city optimization.Artificial IntelligenceLarge Language Model TrainingAI labs, tech companies, enterprise software developers.Real-world spatial data is used to train Large Language Models and AI systems for better geospatial reasoning and customer satisfaction modeling. Fuels next-gen AI with real-world, physical-world understanding.Travel PlanningCustomer SatisfactionTravel agencies, travel-tech, B2C.Data on real-world movement patterns enhances trip planning, destination marketing, and traveler satisfaction algorithms. Creates hyper-personalized travel experiences.Foot TrafficOut-of-Home AdvertisingRetailers, mall operators, property managers.Anonymized foot traffic analytics reveal shopper behavior, helping optimize store placements and advertising locations. Quantifies real-world consumer intent.POI VisitationFootfall InsightsBrands, market researchers, out-of-home advertisers.Point-of-Interest visitation datasets unlock footfall insights for measuring offline campaign effectiveness and competitive benchmarking. Connects marketing efforts directly to physical-world results.
Machine Learning Ready (Coming Soon)
Data is pre-processed for ML and AI applications. Train models for predictive noise analytics or pattern recognition.
Cost-Effective
Flexible pricing models, including subscription or pay-per-use.
Reliable
Continuous updates ensure data accuracy and relevancy.
Scalable
Tailored solutions for small businesses to enterprise-level data needs.
Comprehensive
Covers diverse geographic areas and noise sources.
API Access (Coming Soon)
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Developers can seamlessly integrate Silencio’s data into existing platforms through RESTful APIs.
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Endpoints: Offer custom filters by time, location, noise type, and more.
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Output Formats: Supports JSON and GeoJSON for compatibility with mapping and analytics software.
Data Delivery Formats
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Batch Datasets: Large-scale noise and geolocation datasets available for download.
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Streaming Services: Real-time data feeds via API for applications needing up-to-the-minute updates.
Visualization Formats
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Custom Dashboards: Interactive noise maps available via Silencio’s platform.
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Geospatial Analytics: Export-ready data for integration with GIS tools like ArcGIS, QGIS, or Google Earth Engine.
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Our Clients Include
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Additional Resources
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Customer Stories
Data buyer FAQs
We empower users to share their smartphone-generated data ethically — and get rewarded for it. By combining privacy-first values, a user incentive system, and a unique profit-sharing model, we create a transparent data generation ecosystem where users benefit directly from value they help create.
Silencio Network’s APIs and datasets range in cost from $1,000 / purchase to $50,000 / purchase. Get talking to a member of the Silencio Network team to receive custom pricing options, information about data subscription fees, and quotes for Silencio Network’s data offering tailored to your use case.
Location Data, Map Data, Consumer Behavior Data, Store Location Data, and 28 others
We provide high-quality, privacy-compliant datasets sourced directly from real smartphone users worldwide. Our portfolio includes novel datasets such as street and venue noise levels, alongside location intelligence, POI visitation patterns, fitness activity, and network quality data.
All data is sourced from our mobile app, where over 1M users worldwide choose exactly which data types they wish to share. All data is anonymized, with any PII securely hashed, and collected under explicit user consent. We only work with data buyers who adhere to strict privacy standards, ensuring ethical and responsible data usage.
At Silencio Network, data privacy is at the core of everything we do. All data is collected exclusively through our mobile application, where users actively choose the types of data they wish to share. We obtain explicit consent for every data stream, ensuring full transparency and user control. All collected data is fully anonymized, with personally identifiable information (PII) securely hashed and never sold. We strictly adhere to GDPR and other international data protection regulations, and we only collaborate with data buyers who share our commitment to ethical and responsible data usage. Our privacy-first model ensures that users remain protected while benefiting from the value they help create.
Silencio’s diverse datasets unlock valuable insights across multiple industries. Real estate and urban planners leverage our street and venue noise-level data to assess environmental quality and inform development. Retailers and advertisers use our location and POI visitation data to understand consumer behavior, optimize store placement, and enhance out-of-home advertising. Mobility and transport companies rely on our movement and network connectivity data to improve infrastructure and user experience. Additionally, fitness and activity data (coming soon) will enable health, wellness, and sports organizations to analyze population-level activity trends. Our datasets also support academic research and non-profit projects focused on urban dynamics, public health, and sustainable development — all powered by fully anonymized, consent-based data.