Leverage existing data and infrastructure.
Explore a user-friendly platform, making sustainable impact easy.
By providing a robust framework for data collection, input and analysis, this tool helps businesses measure, manage and reduce their environmental impact effectively.
Simplify workflows, monitors key metrics, and seamlessly support sustainability initiatives, ensuring your dedication to mitigating climate risks and reducing carbon emissions stands out effortlessly.
Propel your team beyond reactivity, fostering a proactive approach. Strengthen your compliance reporting framework for an efficient, streamlined process that ensures excellence.
Utilise advanced analytics to identify trends, opportunities, and areas for improvement. Decentralise access to ESG data and dashboards, uniting your broader business to champion action.
In a nutshell
Key Elements
Discover advanced data integration and data analytics.
Enterprise grade SaaS solution, hosted in Australia, readily scalable and customisable.
Data Integration
Aggregate data from diverse sources, ensuring comprehensive data collection and integration. Enable a holistic view of an organisation's sustainability performance.
Utility Data Management
Ingest large volumes of utility meter data and other sources of granular utility data. Complement this by direct data entry.
Analytics
Adopt advanced analytics, transforming complex datasets into actionable insights. Integrate relevant emission factor calculations. Enable data-driven decisions and transformative sustainability outcomes.
Energy, Waste & Water Optimisation
Monitor, optimise, reuse and reduce. Realise significant cost reductions, efficiencies and carbon emission reductions.
Carbon Management
Track and manage carbon emissions for reporting and operational reductions. Achieve carbon neutrality goals through targeted strategies and performance tracking, management and verification
Sustainability and ESG Reporting
Streamlined and efficient creation of compliance and management reports, adhering to sustainability standard. Leverage existing data mitigating the need for a separate parallel workstream.
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