Reality is measured. Not estimated.
Hardware-signed truth.
Mālama Labs is the trust anchor for physical-world data. Environmental markets, emissions disclosures, parametric insurance triggers, and supply-chain attestations all share the same missing input: a continuously monitored, cryptographically signed measurement they can trust without a human walking the field.
For thirty years, that input came from estimates, annual audits, and self-reports. We replaced estimation with signed sensors and on-chain anchoring. Carbon proved the pipeline. AI compute scales it.
What is Mālama Labs?
Carbon markets lost buyer trust because credits are verified once a year by humans walking transects. AI data-center emissions are reported via spreadsheets and renewable energy certificates. Parametric insurance triggers on weather stations hundreds of miles away. Supply-chain provenance still lives on PDFs.
Every one of these markets has the same missing input: a continuously monitored, cryptographically signed physical data source. That is what Mālama builds. Not a methodology. Not a registry. The measurement layer the rest of the stack has been working around.
See how the pipeline works →Carbon proved it. AI compute scales it.
Pilot Node #1 in Texas has emitted 2,786+ signed SaveCards continuously since June 2024. The same signing architecture, same Cardano anchor, and same Hex Node validators now extend to rack-level power and water sensing inside AI compute facilities. The same pipeline generalizes to any sensor housed in a device with a hardware secure element.
Carbon dMRV
Pilot Node #1 in Texas has operated continuously since June 2024, anchoring readings to Cardano preprod. The credit lineage (sensor → oracle → event → SaveCard) is operational with 2,786+ records and zero gaps. Mainnet migration targets Q2 2026, contingent on audit completion.
- · Soil, atmospheric, and enhanced rock weathering telemetry
- · LCO₂ pre-finance and VCO₂ verified credits
- · Registry engagement underway with Puro.earth and Isometric
- · Same signing pipeline used across all verticals
AI Compute Monitoring
Rack-level power and water sensors measure electrical and cooling load per inference and training cycle. Same signing pipeline. Same Cardano anchor. Same Hex Node validators. Hardware-verified Scope 2 data for the operator, and audit-grade Scope 3 inputs for everyone buying compute downstream.
- · Direct power sensing per inference and training cycle
- · Water-cooling attribution and evaporation tracking
- · Real-time grid carbon intensity sync
- · Built for SEC, EU CSRD, and SBTi-aligned reporting
Adjacent Physical Markets
Parametric insurance triggers, EUDR supply-chain provenance, grid and microgrid intelligence, water rights, and permit compliance. Each uses the same signing pipeline. None require a new measurement layer.
Four layers visible. Six layers in the protocol.
The four-layer summary below collapses Mālama's full six-layer architecture (Physical, Verification, Oracle, Blockchain, Reward Scaling, Redemption) into what teams need day-to-day. Carbon SaveCards, AI compute attestations, and future sensor types all flow through the same trust pipeline. Full architecture: technology page →
Three audiences today. The list grows as the sensor catalog grows.
Deploy Hex Nodes
Deploy a Hex Node and move from intermittent audit assumptions to continuous hardware-signed verification. Sub-acre deployments become viable when field telemetry is continuously signed and queryable.
Cost framing: Traditional verification often carries $20,000–$50,000+ per-project audit overhead. Mālama targets single-digit-dollar MRV cost per tCO₂e at scale, with unit economics that improve as sensor density grows. These are protocol targets, not current realized costs.
AI Compute & Data Center Teams
Hardware-verified Scope 2 data ready for SEC climate disclosure, EU CSRD, and SBTi reporting. Scope 3 inputs for everyone procuring AI compute services. Stop estimating at the meter. Start measuring at the rack.
Scope 2: Direct measurement of grid electricity consumed per inference.
Scope 3 support: Hardware-signed data supports upstream emissions attribution for AI buyers.
Hex Node Validators
Run a Hex Node in an H3 cell and validate carbon SaveCards, AI compute attestations, and future physical-world data types. Earn MLMA rewards on a milestone-vested schedule tied to continuous operation, with uptime multipliers, geographic multipliers, and governance weight in the Mālama DAO.
Carbon dMRV is the production reference. AI compute is next.
The sensor stream is live today on Cardano preprod. Mainnet SaveCard minting is paused pending audit completion and migration (target Q2 2026). The transactions below are the latest involving the Mālama preprod wallet, queried from the public indexer. Each row opens in Cardanoscan.
Why the next vertical after carbon is AI.
The AI industry accelerates while its environmental footprint remains obscured by voluntary disclosure and market-based accounting. A Federation of American Scientists analysis indicates Meta's actual emissions may be materially higher than market-based reports suggest. Software reporting cannot close the gap between what is disclosed and what is real. Hardware-signed direct measurement can.
Per-Inference Power Measurement
Rack-level sensors are designed to measure exact electrical load per inference and training cycle. Direct measurement at the source, not market-based estimates or vendor self-reports. Active hardware development; first pilots scheduled 2026.
Cooling and Evaporation
Hardware-linked tracking of cooling energy and evaporation rates. A single video generation prompt can consume up to 1 liter of water for cooling alone.
Real Carbon, Not Average
Cross-references real-time grid carbon intensity with sensor-verified energy use. The same kilowatt-hour at different times and locations carries radically different emissions weight.
Phase 1 Hex Node launchpad
Own the infrastructure of truth.
Each Hex Node validates carbon SaveCards and AI compute attestations across the Mālama network. Phase 1 covers 200 hex zones across five city batches: Los Angeles, New York, London, Tokyo, and Idaho/Sun Valley. Phase 1 sale opens Late May 2026. Join the waitlist for whitelist access and launch notification.