Data Buyers · Portal

Truth in a sea of unverified data.

Most environmental and physical-world data is estimated, self-reported, or impossible to audit. Mālama licenses the opposite: hyper-local datasets where every reading is signed at the hardware edge and anchored on chain. Price and review the opportunities below. Data licensing is opening soon, so register your interest or talk to our team.

Data not yet available · early-access registration open

01 · Use Cases

One verified data layer. Many markets.

Organizations across climate, finance, infrastructure, and AI build on crowdsourced, hardware-verified data. The same Proof-of-Truth pipeline serves every sector below.

Climate Projects

High-fidelity environmental data for climate modeling, extreme-weather tracking, and macro-ecological research.

Carbon Accounting

Hardware-signed proof of removal and localized emissions, registry-compatible for compliance-grade reporting without greenwashing.

Parametric Insurance

Smart-contract payouts triggered by unalterable, real-time hazard sensors for flood, drought, and wildfire risk.

Prediction Markets

Incorruptible real-world data oracles that settle decentralized markets on physical, sensor-verified outcomes.

Smart Cities

Hyper-local air quality, noise, and traffic metrics from citizen-operated sensor networks.

AI Data Centers

Multimodal edge-device streams and rack-level power telemetry for training and governing localized AI models.

Energy Grids

Real-time production and consumption metrics from Virtual Power Plants to balance decentralized energy loads.

Precision Agriculture

Soil moisture, hyper-local rainfall, and crop-health tracking to optimize yield and resource allocation.

Mālama dMRV vs. legacy data brokers

02 · The Buyer Advantage

Legacy brokers measure top-down. We measure at the edge.

Cryptographic verifiability Every data point is signed at the hardware edge in a secure element, preventing spoofing and giving smart contracts a record they can trust.

Hyper-local granularity Operator-deployed networks reach spatial density that top-down government or corporate sensors cannot match affordably.

Cost efficiency Buy data directly from the network of hardware operators through programmatic APIs, without legacy broker margins in between.

03 · Market Outlook

Demand for verifiable data, by sector.

As autonomous systems and smart contracts proliferate, demand for sensor-verified real-world data rises across buyer segments. Figures below are an internal base-case model for representation of market capability. They are modeled, not measured, and are not forecasts of Mālama revenue.

04 · How It Works

From query to API, in four steps.

Define query

Specify parameters: location radius, sensor type (CO₂, weather, soil), and reading frequency.

Reserve a data stream and fund it in fiat or stablecoins through the network protocol.

Network fulfillment

Decentralized nodes capture, cryptographically sign, and anchor the data on chain.

Consume API

Retrieve normalized, verifiable data directly into your enterprise backend or smart contracts.

05 · Get Early Access

Build on verifiable world data.

Register your interest and our data team will scope datasets, coverage, and pricing for your use case as licensing opens.