Verifiable environmental data, signed at the source.
License hyper-local datasets generated by a decentralized network of hardware-signed sensors. Every reading is cryptographically signed at the device and anchored on chain, so it is auditable before it ever reaches your application.
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 Research
High-fidelity environmental data for climate modeling, extreme-weather tracking, and macro-ecological research.
Carbon Accounting
Hardware-signed proof of carbon removal and localized emissions, registry-compatible for compliance-grade ESG reporting.
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 generated by 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.
Legacy brokers measure top-down. We measure at the edge.
Traditional data providers rely on sparse, expensive infrastructure. A decentralized network crowdsources collection through hardware operators, producing higher density, lower latency, and verifiability that legacy feeds cannot offer.
Cryptographic verifiability
Every data point is signed at the hardware edge in a secure enclave, preventing spoofing and giving smart contracts a record they can trust.
Hyper-local granularity
Citizen-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.
Demand for verifiable data, by sector.
As autonomous systems and smart contracts proliferate, the need for sensor-verified real-world data rises across buyer segments. The figures below are modeled, not measured.
Modeled Data Demand by Sector · 2025–2028
Modeled · IllustrativeRelative index of projected verifiable-data volume requirements. Figures are an internal base-case model for representation of market capabilities and are not actuals, commitments, or forecasts of Mālama revenue.
From query to API in four steps.
Define query
Specify parameters: location radius, sensor type (CO₂, weather, soil), and reading frequency.
Fund escrow
Deposit fiat or stablecoins into the network protocol to cover the cost of the requested data stream.
Network fulfillment
Decentralized nodes capture, cryptographically sign, and anchor the data to decentralized storage.
Consume API
Retrieve normalized, verifiable data directly into your enterprise backend or smart contracts.