Imagine millions of people placing small sensors in their homes, cars, or neighborhoods to measure air quality, traffic, or temperature. The readings are shared and stored on a blockchain, forming a community-powered physical infrastructure network (DePIN). This movement doesn’t just democratize access to information, it reshapes how data flows from the real world to digital systems.
At their core, sensors capture real-world phenomena and turn them into actionable insights. A typical data-collection lifecycle looks like this:
Sensors are the gateway to data — and data powers nearly every modern service. Take a simple weather sensor: it records temperature (sensing), sends the readings across a network (transmission), stores them in databases (aggregation), and feeds them into models that generate forecasts and alerts (utilization). Without enough sensors, the quality of services such as weather prediction, traffic management, or energy optimization declines rapidly.
🔎 What Challenges do Sensors Face Today?
Deploying sensor networks at scale is hard. Traditional roll-outs run into several problems:
- High CapEx: Significant upfront spending on hardware and installation.
- Outdated infrastructure: Reliance on tech that is difficult to upgrade, leading to infrequent or low-quality data collection.
- Limited coverage: Sensors typically installed in select areas, leaving large gaps with no data.
- Data silos: Collected data often locked within isolated or proprietary systems, making it inaccessible.
These limitations create blind spots and slow response times. For example, energy grids lack real-time usage data, and environmental monitors are so sparse they miss local pollution spikes. Industries from healthcare to logistics face the same hurdles, making decisions with incomplete information. It’s important to mention that while some non-blockchain startups have made progress by connecting devices and aggregating real-world data, scaling these networks remains slow and costly.
🌐 How DePIN Changes the Equation?
DePIN introduces a breakthrough: decentralized coordination. Instead of relying on a central authority to control the costs and benefits of data collection, DePIN spreads them across a network of participants. This unlocks rapid, large-scale deployment of new sensor technologies and fosters participant-led ecosystems — all with lower capital intensity. Beyond reducing upfront costs, DePIN also improves capital efficiency, stretching each dollar further to achieve broader coverage, faster growth, and higher-quality data than centralized models can deliver.
💡 What are the Key Areas of Innovation?
For this article, we’ve stretched the term “sensor” to include any company that enables the collection of unique data sets, whether through traditional sensing hardware, image capture or other methods. Casting a wider net let us explore more use-cases, and crucially, spot emerging patterns across sectors.
We have reviewed 160 startups, pulling data from DePIN Ninja, DePIN Hub and Pitchbook, and removed those no longer active. From that screening, we distilled eight leading categories, each illustrating how community-powered data collection through sensors is solving real-world problems.
Below are four domains where DePINs have jumped from proof-of-concept to daily utility, each with a pair of concrete projects:
🩺 Healthcare
Health data is often siloed and out of patients’ hands. These projects let people use personal devices to track their own health metrics and optionally share them (privately) for rewards, providing personal insights and richer datasets for research.
Source: CUDIS, SoccerN, Aloega, BrainAlive, BrushO, Sleepagotchi
🗺️Mapping
Digital maps are hard to keep updated globally. Mapping DePIN projects distribute mapping via everyday dashcams, drones, and smartphone scans for more up-to-date maps with broader coverage than any single company can achieve.
Source: Bee Maps, Spexi, Overthereality
🚦Mobility
Transportation data — from city traffic to airline operations — is often locked within isolated or proprietary systems. While some municipalities openly publish sensor-based traffic counts, much of the high-value data remains fragmented across agencies, airlines, and private mobility platforms. Mobility DePIN projects leverage distributed data collection by incentivizing pilots and drivers to share data.
Source: Wingbits, DIMO, MapMetrics
🌍Environment
Environment DePIN projects empower citizens to deploy cheap sensors for climate, pollution, and disaster data.
Source: Ambios, Silencio, Skymapper, Dimitra, RecycleFarm, Ecoterra, Nubila
Other Categories also include:
📱 Consumers
People once fueled billion-dollar data markets for free. DePIN flips the script. Platforms such as EnviroBLOQ link smart-home sensors to a tokenized network, letting owners earn rewards while unlocking in the long-term practical perks: early maintenance alerts, cheaper insurance through verifiable home data, and granular control over who sees their info.
⚡ Energy
Energy grids have traditionally treated households as passive endpoints — drawing power, paying bills, and having little influence. DePIN projects like Combinder reward households for sharing real-time energy data, shifting usage during peak times, or feeding surplus solar power back into the grid. Unlike centralized models, smart meters roll-outs, DePIN lets millions of homes coordinate in real time, boosting resilience without massive capital outlays.
See on these links, to dive deeper on the impact of DePIN on the energy sector or to better understand the grid.
📍 Location
By measuring how long it takes radio signals from at least four satellites to arrive, GPS pinpoints a device’s position to within about five meters under clear, unobstructed sky. That said, accuracy collapses near tall buildings or indoors. DePIN sensors help overcome these limits by adding decentralized, ground-level infrastructure that complements satellite signals with local, verifiable data. Projects like GeodNet and FOAM do this by crowdsourcing GNSS base stations or radio beacons, enabling far more precise and reliable positioning.
📦 Logistics
Projects like OBORTECH distribute the task of tracking goods across a broad network of contributors, creating an unchangeable timeline of each shipment’s journey.
⚖️ Understanding The Deployment Design
A useful way to compare DePIN sensor projects is to plot them on a two axis chart: horizontally, the cost model, and vertically, the type of service achieved. Four examples show the trade-offs:
- CapEx x Pure Data — QuakeCore is a decentralized disaster detection network with IoT devices that provide real-time seismic data for early warnings. It requires each supporter to install a specialized seismic sensor to build a global data network and very minimal efforts once the hardware is set up.
- CapEx x Multi-Job — The Vape Labs deploys smart vape hardware that not only logs nicotine puffs but also powers a behavioral health program. These custom devices collect usage metrics and even coach users with token rewards, effectively incentivizing nicotine intakes reduction. It sits closer to the middle of the CapEx–OpEx spectrum as users must buy the hardware, but also engage with it regularly for meaningful data to be generated.
- OpEx x Pure Data — OurEden is essentially a crowdsourced plant mapping. Users simply need to download the application and roam forests with their smartphones to log wild edible or medicinal plants, turning people into “biotic sensors”.
- OpEx x Multi-Job — HealthBlocks is at the lower-right: it relies on any existing smartphone or wearable and on-chain quests (e.g. “hit 10K steps”) to drive activity, issuing HEALTH tokens for diverse health goals.
The more the project requires specific hardware, the more likely it will lock in users with specialized gear and infrastructure, giving them high switching costs and long-term data moats, but they may grow less fast and need heavier funding. Low‑CapEx/OpEx models can potentially reach scale faster as a result of lower onboarding friction for users, but they usually face stiff competition because of the lower barrier to entry. Understanding where a DePIN sensor project falls on this spectrum helps predict its scaling path, capital needs, and defensibility. Founders need to balance growth speed against stickiness, while investors must assess whether the project’s design aligns with its long-term ambition.
That said, the strategic deployment positioning is not set in stone: NATIX started as a software-only mapping network, letting drivers earn by recording dashcam footage with their phones — a low-friction model that quickly scaled contributors. As the network matured, NATIX began introducing purpose-built Tesla dashcam to improve video quality, field of view, ensure consistent data, and increase defensibility. Hardware adds friction but also creates switching costs and higher data integrity — helping NATIX lock in contributors and differentiate its dataset. NATIX’s strategy yet remains to be commodity hardware: by tapping into Tesla’s existing 4 cameras with a $279 device, NATIX saves min $3k cost compared to building a 360 camera that could provide the same street-level-data.
📈Traction and Investment Momentum in DePIN Sensors
While still early, DePIN sensors are already showing real successes: faster network growth, broader coverage, and more dynamic data layers than traditional centralized incumbents. Investor’s interest has been climbing sharply lately. Deal activity has roughly doubled year-over-year while total funding has surged on the order of 50%+ CAGR over the last 10 years.
Beyond successful fundraising, DePIN sensor networks are showing real-world traction. In the location services space, for example, GeodNet’s decentralized RTK (real-time kinematic) network has surpassed traditional providers. By the end of 2024, it had deployed over 12,000 GNSS (global navigation satellite system) base stations globally — now nearing 15,000 — far exceeding the coverage of any single private operator. These stations collectively sell high-precision location data to industrial users, generating an estimated $3–4 million in annualized revenue. In short, these decentralized networks leverage user-owned sensors to deliver faster, broader, and more affordable data than centralized alternatives.
🔗 Building the Nervous System of Tomorrow’s World
Adoption is nascent — but the direction is clear. If data is the new oil, sensors are the new extractors. And DePIN models offer a fundamentally better way to deploy, finance, and scale these extractors globally. As highlighted by Messari and EV3 in their Sate of DePIN 2024, DePIN sensors are on track to become the “eyes & ears of AI”.
We believe this will be particularly critical for the rise of Physical AI — a category spanning autonomous vehicles, drones, smart manufacturing, and robotics — where machines interact with and respond to the real world in real time. These systems require continuous, high-quality sensory input to perceive, navigate, and adapt — not just static data or code. DePIN sensors provide that vital infrastructure, delivering dense, dynamic, and verifiable data streams. As a result, they are poised to become a foundational layer for the next decade of innovation across AI, robotics, climate tech, and spatial computing.
In case you missed it…
General Technologies 🚀
🎓 Gen Z Gets AI Study Buddies for Free — As finals loom, students are getting a serious AI boost. OpenAI is giving two months of free ChatGPT Plus to college students, while Anthropic, Google, xAI, and Perplexity roll out campus offers. From essays to dating advice, AI is becoming an integral part of student life — and Gen Z is leading the charge. Read more via The Atlantic here.
⚖️ EU Lays Down the Law on Big Tech — In a landmark move under the Digital Markets Act, Apple and Meta were fined €500M and €200M respectively. Apple was penalized for anti-competitive practices in the App Store, while Meta’s ad-tracking “pay-or-consent” model was deemed a breach of user rights. Both companies are contesting the rulings, but EU regulators say more investigations (including Google and X) are coming. Read more on EU’s move here.
⚡ The Hidden Cost of AI: Energy Use on the Rise — AI is powerful — but power-hungry. It now consumes 1.5% of global electricity, and demand is set to triple by 2030. As companies promote AI’s climate benefits, emissions — especially from inference — are spiking. Experts are urging for more transparency and regulation before AI’s footprint outweighs its potential. The Economist explains more here.
🎧 What We’ve Been Listening To:
🎙️ The Quest for Fake Blood — Tens of thousands of lives could be saved each year if hospitals had more blood. So scientists are racing to understand how this living fluid does what it does in order to one day grow it from scratch. Listen on Spotify.
🎙️Is Meta a Social Media Monopoly? — This month, Mark Zuckerberg appeared in court to defend his company, Meta.The Wall Street Journal explains how his efforts to build a relationship with former President Trump haven’t saved Meta from a Federal Trade Commission case accusing the company of operating an illegal monopoly. Listen on Spotify.
Sustainability 🌍
🔋 Asia Powers the Grid Battery Boom — China and South Korea are racing ahead in grid-scale battery manufacturing to support surging renewable energy and AI data center demand. Their dominance is reshaping global supply chains — and opening the door to strategic plays in storage tech. Read more here.
💼 Tariffs, Trade Wars, and Climate Tech — The latest from CTVC breaks down how rising tariffs on clean energy imports are inflating project costs and disrupting climate tech supply chains. But it’s not all downside — the shakeup is driving investment into domestic manufacturing and resilient infrastructure. Read more here.
🚢 Shipping’s Net-Zero Turn — The International Maritime Organization just approved rules targeting net-zero emissions from shipping by ~2050. The framework includes a fuel standard and global pricing mechanism — a boon for clean fuel startups and low-carbon logistics plays. Dive in here.
Blockchain & Crypto 💸
⚖️ Regulation
- Tether explores launching a new U.S.-based stablecoin aimed at institutional clients amid ongoing regulatory discussions.
- SEC issues new guidance on crypto asset disclosures; Commissioner Hester Peirce emphasizes the need for clarity.
- Circle files S-1 with the SEC, signaling its intention to go public.
🏦 Financial Institutions
- Cantor Fitzgerald, SoftBank, Tether, and Bitfinex launch $3.6B Bitcoin acquisition firm, Twenty One Capital, holding already over 42,000 BTC.
- Circle and BitGo plan to apply for U.S. bank charters.
- Charles Schwab aims to launch spot crypto trading within 12 months, targeting an April 2026 rollout.
- CME Group plans to launch XRP futures on May 19, pending CFTC approval, marking its fourth crypto futures product.
- Kraken now offers trading of over 11,000 U.S.-listed stocks and ETFs, integrating traditional equities with crypto assets.
🔥 Top Stories
- Global Payments agrees to acquire Worldpay for $24.25B, expanding its footprint in the crypto payments space.
- Paradigm just led a $50 million investment in Nous Research, a decentralized AI startup leveraging blockchain technology to democratize AI model training and challenge centralized incumbents like OpenAI and DeepSeek.
🔎 Research
📄 Chris Dixon (a16z) published an article on Stablecoins and their impact on global payments
📄Mike Ryan (1kx) discusses multisig operational security, offering a self-assessment framework to mitigate risks from malware and UI manipulation in transaction approvals.
📄Cosmos Jiang (Pantera Capital) discusses the impact of tariff-induced macro volatility on crypto markets and outlines why digital assets may outperform in a high-rate environment.
Podcasts & Videos
🎙️ Raul Paul is joined by Barry Silbert to discuss his journey in crypto and how Bittensor could become even more transformative than Bitcoin
📹 Bankless invited Paradigm’s Dan Robinson and Justin Slaughter to discuss Paradigm’s 2025 Survey (66% of Wall Street is Already in DeFi)
