Case Study

Automating ESG Impact Verification

Building a transparent ESG data platform powered by AI and Hyperledger Fabric.

Client overview

Digital Climate Group (DCG) is a Hong Kong-based digital investment and impact-finance firm. It combines financial, technology, and investment services to deliver climate and impact financing across Asia, the Middle East, and Africa. DCG’s mission is to enable transparent, scalable green finance.

It provides digital measure, report and verify (dMRV) tools, impact analytics, and compliance services to support environmental projects and asset-backed investments. In 2025, DCG secured a strategic investment and partnership with Daiwa Securities to expand its reach and impact in Asia and the Middle East.

Project details

Impact Measurement Challenges

Digital Climate Group needed verifiable evidence that climate projects achieved real results. ESG (Environmental, Social, and Governance) reports were long and inconsistent, while IoT (Internet of Things) sensor data was fragmented. Investors demanded transparent, tamper-proof proof of impact, creating the need for an automated, auditable process.

Purpose and Goals

The project aimed to automate impact tracking using artificial intelligence (AI) and blockchain. Espeo Software built a proof-of-concept system to classify ESG indicators, validate IoT data, and anchor results on a secure ledger, ensuring transparent and trustworthy investment reporting.

less time spent screening ESG reports.

0 %

sustainability indicators mapped into 10 metrics.

blockchain hashes recorded per dataset.

improved anomaly detection accuracy for IoT data.

0 x

pilot sectors in agriculture, construction, and energy.

Automate ESG data analysis

Verify IoT sensor data authenticity on-chain

Enhance transparency with blockchain metrics

Enable feedback for model refinement and validation

Demonstrate scalable AI-driven impact measurement

How we did it

Discovery & Planning

Defined ESG metrics, mapped sustainability indicators, and scoped two prototypes focused on data automation and transparency.

Design & Development

Built AI pipelines for ESG extraction and IoT anomaly detection. Integrated blockchain for secure data storage and React dashboards for user control.

Testing & Validation

Processed ESG reports and simulated sensor data. Verified blockchain hashes and refined accuracy through analyst feedback.

Iteration & Feedback

Enabled real-time analyst input to improve AI outputs and conversion rules, ensuring human oversight and continuous learning.

Demonstration & Handover

Delivered a working proof of concept with full data flow – from extraction to blockchain anchoring – validated by client testing and review.

Tech stack & team composition

Solution Architect

Lead Data Scientist

Blockchain Engineer

Delivery Manager

Results

End-to-End Traceability

Complete product tracking from seeding to sales.

Dual-Model Deployment

Successfully tested blockchain-only and hybrid versions.

High Data Integrity

All records secured through verifiable blockchain hashes.

Flexible Data Input

Smooth integration of sensors, QR entries, and APIs.

Favoured by Tech & Business Executives

The robustness of your models demonstrated a deep understanding of sustainable finance nuances.

Guillaume Cunnington, Partner at Digital Climate Group

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