We empower organizations to measure, manage, and minimize their environmental impact through technology. From supply chain traceability to carbon accounting, our solutions turn sustainability data into operational value.

Organisations commit to sustainability targets but lack the data infrastructure to measure progress accurately. Manual ESG reporting is error-prone and difficult to audit.
Data centres and cloud infrastructure consume significant energy. Optimising compute workloads for carbon efficiency requires specialised engineering that most teams lack.
Stakeholders and regulators increasingly scrutinise sustainability claims. Without verified data and transparent methodology, ESG reports face credibility challenges.
We design workloads that shift compute to low-carbon periods and regions. Kubernetes schedulers, spot instance strategies, and autoscaling policies factor in carbon intensity data.
Automated data collection from IoT sensors, utility APIs, and enterprise systems feeds into structured ESG dashboards aligned with GRI, SASB, and ADX ESG reporting standards.
Code efficiency audits, image optimisation, CDN strategies, and serverless architectures reduce the computational footprint of digital products without compromising performance.
We use the Green Software Foundation methodology and tools like Cloud Carbon Footprint to measure emissions from compute, storage, and networking. Results are mapped to GHG Protocol scopes.
Yes. Our ESG platform templates align with ADX ESG reporting guidelines and can generate submissions in the required format with audit trails.
We design for both. Carbon-aware scheduling targets non-critical batch workloads. Latency-sensitive user-facing services maintain their SLAs while background processing shifts to greener windows.