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Reko Technology

Carbon Data
Can Prove.

Private carbon data, verifiable proof. EcoReko keeps the records inside the platform while blockchain stores the proof, timestamps, and audit trail.

Blockchain Integrity

Private-by-design blockchain-backed submission with traceable audit trails for every emission record

Sensor Connectivity

Sensor-ready pathways designed to connect directly into the platform workflow

Data Warehouse

Centralised, structured emissions data across all sites and periods

AI Reporting Ready

Infrastructure in place for executive reporting and future AI-enabled storyboards

How it works

From Sensor to Boardroom

Every data point follows the same trusted pipeline - from physical measurement to blockchain-backed proof today, and toward AI-generated executive insight as the frontend integration is completed.

IoT Sensors

Sensor-ready environmental data

Blockchain Ledger

Immutable, timestamped record

Data Warehouse

Structured analytics layer

Advanced Analytics

Trends, benchmarks & KPIs

AI Reporting

Roadmap for executive stories

Blockchain technology representing immutable data integrity
Cryptographically verified

Blockchain Integrity

Private by design. Verifiable by audit.

Emissions data submitted through the platform stays inside EcoReko's private data layer. The blockchain records cryptographic proofs, timestamps, and submission references so auditors, investors, and regulators can verify integrity without the raw client data being exposed on-chain.

  • Every emission measurement cryptographically hashed on-chain
  • Tamper-evident ledger - any alteration is immediately detectable
  • Third-party audit access with permissioned read-only views
  • Compliant with ISO 14064, GHG Protocol, and CSRD audit requirements
  • Immutable timestamps for each data submission and verification event
  • Full chain-of-custody from sensor to certificate

Sensor Connectivity

Ready for cleaner, source-level data capture

Manual data entry is the primary source of friction and error. EcoReko's data model is designed so IoT sensors can connect into the blockchain ledger and data warehouse when the integration is switched on. Whether it's a factory floor, a hotel HVAC system, or a logistics fleet, the structure is ready to capture emissions data at source.

  • Direct API and MQTT integration ready for industrial IoT sensors
  • Real-time energy meter, boiler, and fleet telemetry pathways
  • Hospitality sector: guest occupancy, HVAC, and water consumption feeds
  • Manufacturing: process line emissions, compressed air, and furnace data
  • Automated anomaly detection for suspicious or missing readings
  • IoT data designed to route into the blockchain layer and data warehouse
IoT sensors in a manufacturing environment
Manufacturing
IoT sensors in a hospitality environment
Hospitality
Data warehouse server infrastructure
Real-time data ingestion

Data Warehouse & Analytics

One source of truth across every site, scope, and period

Raw emissions data is only valuable when structured, validated, and queryable. Our cloud data warehouse ingests from IoT feeds, ERP systems, utility portals, and supply chain data pipelines - normalising everything into a unified analytical model so you can interrogate your emissions from any angle, at any time.

  • Centralised data lake aggregating all emission sources and periods
  • Scope 1, 2 & 3 data modelled into a unified analytical schema
  • Multi-site and multi-period filtering for complex organisations
  • Pre-built connectors for ERP, utility billing, and supply chain portals
  • Historical trending and year-on-year benchmarking
  • Automated data quality checks and completeness scoring

AI Reporting

Infrastructure ready for AI-assisted reporting

Data without interpretation is noise. The reporting stack is ready to read from the warehouse, surface what matters, and generate board-ready narratives once the frontend integration is complete.

  • AI-generated executive storyboards summarising performance trends
  • Natural language narratives for board-level sustainability reporting
  • Anomaly surfacing - AI flags unexpected emission spikes automatically
  • Scenario modelling with AI-ranked reduction recommendations
  • Predictive target-gap analysis - will you hit net zero on time?
  • One-click export to PDF report for investor and regulator disclosure
AI analytics and executive insights dashboard
AI reporting roadmap

Built to Support Trusted Reporting

Regulators and investors are demanding provable emissions data. Our technology stack is designed to keep the data private, make every record auditable, and keep the reporting workflow easy to verify.

100%

Private, traceable submission

Operational data stays private while on-chain proofs preserve audit history

Real-time

Sensor connectivity

Infrastructure ready for sensor-to-ledger workflows as integration completes

Zero

Reporting ambiguity

Reporting foundations are designed for cleaner, more auditable data flows

Ready for Carbon Data You Can Prove?

Talk to our technology team about private blockchain-backed submission, sensor connectivity, and bringing AI reporting into the frontend when the integration is ready.