The World’s Ears for AI & Robotics
Silencio collects real-world voice and audio data from millions of people in over 180 countries, giving Artificial Intelligence the information it needs to understand people and the environments they operate in.
Trusted by
A Global Network of 
+1.5M Individuals
Over $3 Million USD in value already paid out
To contributors worldwide for training AI
1,300+ Years of Audio Data
Over 11 Million hours of real-world sound data powering AI
1.5M+ Contributors
Uploading `Data to the Network
180+ Countries
With daily active nodes
How Silencio turns sound into intelligence
From Audio Data to Real-world AI
All powered by our community
- Smartphones
- Desktop
- loT/Edge DevicesNext
IoT sensors, security systems, Raspberry Pi, autonomous vehicles, and beyond.
Audio Intelligence Layers
Data reimagined for smarter products, visit each page to learn more
Applications
Real-world AI & machine learning use cases
Real Estate Valuation
Smarter pricing powered by sound data.
AI & Machine Learning
Voice and ambient sound data with rich metadata for training speech, audio, and context-aware AI models.
Autonomus Robots
Real-time auditory sensing and sound detection for safer navigation.
Live Digital Twins
Live, granular audio streams for sound detection and triangulation.
Travel and Hospitality
Noise-aware data for finding better stays and quieter venues.
Urban and Public Sector
Sound-driven urban planning for a better quality of life.
Who are we targeting?
Leading technology companies and organizations
*These are potential data consumers and are not current clients
And the value returns to the community
Through $SLC Buybacks & burns
Foundation
Silencio’s Data Sets
Our rich, diverse datasets power everything from advanced AI training to real-life decisions that improve how we live, move, and connect.
AI Speech Training Data
Multilingual voice data with rich speaker metadata—ideal for training models in diarization, separation, and natural language understanding across diverse accents and dialects.
World’s Largest Noise Level Dataset
Access location-based noise data from streets, cafes, hotels, and more—powering smarter decisions in real estate, mobility, and urban intelligence.
Ambient Sounds to Train AI
Richly labeled ambient sound data from global contributors—ideal for training models in sound classification, context awareness, and audio tagging. High-utility data, collected ethically and at scale.
Voice Commands to Train AI & Robotics
Spoken commands across languages, tones, and contexts, with metadata on intent and speaker ideal for training voice assistants and context-aware NLP models.
Non-Speech Audio
to Train AI
Human sounds like laughter, coughing, and footsteps, captured in diverse settings with rich metadata ideal for audio event detection, healthcare, and context-aware AI.
World’s Largest Noise Complaint Database
A unique dataset of crowd-reported noise complaints—enabling governments, urban planners, and researchers to identify problem areas, shape policy, and improve quality of life at scale.
Roadmap &
Value Unlock
This is how Silencio grows — from early product milestones to becoming the standard for real-world audio data in AI and robotics.
2022
Early MVP Stage
Validation Stage.
Goals: Build a MVP to onboard 50k users and close 5 LOIs to validate business model2024
Growth Stage
Goal: Surpass >1M users and extend to 5 revenue streams with +10 clients. Buy back and burn to demonstrate flywheel works.
2025
Expand Vision and Data Capturing
Goal: Create a frictionless experience, scale to 5 million devices and expand to AI audio training data: Close >5 LOI for new data products.
2026 - 2030
Silencio AI
Goal: Silencio transitions into a full scale AI company owning the audio vertical and becoming one of the largest global networks to capture data at ethically at scale from over >100M devices
