Noise is a Public Health Crisis. Silencio Is Building the Response.
A recap from our latest AMA
Noise isn’t just an annoyance. It’s a global public health crisis
On June 4, Silencio hosted a live AMA with two of the world’s foremost environmental acoustics experts, Professor Enda Murphy and Professor Eoin King. These are not just guest speakers. They are Silencio’s scientific advisors and co-authors of the landmark book Environmental Noise Pollution. Their message was direct: we are living inside a crisis we do not measure.
This conversation went far beyond Web3. It was a forensic breakdown of global noise pollution, its consequences, and why legacy infrastructure cannot solve the problem.
🎧 Listen to the Full AMA: https://x.com/i/spaces/1ynJOlYLBOrxR
Noise is not invisible. It is just ignored
Noise exposure increases the risk of heart disease, sleep disorders, anxiety, and impaired learning. According to the World Health Organization, it is the second-largest environmental cause of health issues in Europe, only after air pollution. Wildlife suffers too. Disrupted mating, migration, and communication are increasingly documented.
The biggest problem is not just the exposure. It is the absence of real-time data. Most cities rely on outdated simulation models, updated once every five years. This lag makes timely action nearly impossible
Silencio is closing that gap. With live data. With real infrastructure.
Silencio transforms smartphones into environmental sensors
No new hardware. No complex setup. Silencio activates the global smartphone layer to collect environmental signal data, starting with noise.
Each phone becomes an anonymous, decentralized sensor. No audio is recorded. No personal identity is stored. Every datapoint is timestamped, geo-located, and verified using AI.
This data is anchored on-chain for full transparency. Over 1.1 million users across 235 countries have contributed more than 37 billion datapoints to date.
Accuracy is proven. Controlled lab testing has confirmed smartphones can deliver noise measurements within ±3 decibels of a professional sound level meter. That is the same margin perceptible to the human ear.
Silencio makes scalable, real-time noise mapping not only possible, but live.
How the Silencio model works
Silencio activates environmental intelligence at global scale using what already exists. We do not deploy sensors. We empower smartphones.
Every phone running Silencio captures anonymized decibel data tied to time and location. No audio is recorded. No identity is stored. Just clean, structured signal.
Every contribution passes through:
- Consent-first architecture. All users opt in
- AI validation. Each datapoint is verified for quality
- On-chain anchoring. Fully transparent and auditable on peaq
In less than a year, Silencio scaled from concept to 1.1 million active contributors across 235 countries. Over 37 billion datapoints have been recorded.
Data with utility across real industries
Silencio’s value is already visible in the market. Its datasets are live across major enterprise platforms:
- Google Cloud Analytics Hub
- SAP Datasphere
- Databricks
- Datarade
This makes Silencio’s environmental intelligence instantly accessible for urban planners, real estate developers, researchers, and institutions without custom integration.
A baseline for future policy and research
One of the most overlooked themes of the AMA was the scientific potential of reproducibility. With enough contributors and calibration, Silencio can offer a reproducible baseline for environmental noise thas not existed before. Not at this resolution. Not at this speed.
This makes Silencio data not just valuable for enterprise, but for public policy, epidemiology, and long-range infrastructure planning. We now have the tools to build equitable, transparent noise management systems that scale.”
How SLC connects data, contributors, and value
The network is powered by $SLC, the native token that ties data generation to economic incentives.
Contributors earn $SLC for verified measurements. Enterprise customers pay to access datasets. That revenue is then recycled into the network through token buybacks and burns, governed by the BlockSound Foundation.
In May alone, more than 1.2 billion $SLC were permanently burned. Every transaction is published and verifiable. Revenue from the ad-free subscription feature is also routed directly into SLC buybacks, tying demand to product adoption.
Where we go next
The AMA confirmed what our community already knows. Silencio is not just a noise-monitoring app. It is the backbone of a new environmental infrastructure layer.
Coming soon:
- Google plug-in extension for frictionless enterprise access
- Passive mode to enable background data collection at scale
- Expansion into new signal types beyond noise
- New monetization channels that strengthen demand for SLC
The mission started with noise, but the vision is broader.
Silencio is building the largest decentralized environmental dataset on Earth. This infrastructure will power the next generation of AI, planning, and public health. And it belongs to the contributors who make it possible.
We are live. We are scaling. We are just getting started.
🎧 AMA replay: https://x.com/i/spaces/1ynJOlYLBOrxR
Explore the map. Join the network. Make your signal count.
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