Across industrial GHG emissions, 80% of emissions on average is contributed by indirect Scope 3 across the value chain. This means, in an organisation, the biggest component of emissions is also the least visible and accounted for in carbon accounting.
Carbon Analytics connects and collects data automatically and calculates emissions on an asset level. We then surface the GHG emissions and other sustainability metrics accurately bottom up by assets (e.g. machines, building, logistics) NOT relying merely on corporate financial data.
Our novel way to calculate emissions using real-time activity data from plant, machinery and logistics provides a more accurate carbon footprint at a process level.
The capability of our tool really shines in mapping the Scope 3 supply chain sustainability analytics in real time with high visibility and accuracy.
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Our platform provides data access with asset level traceability to deeply manage Scope 1, Scope 2 and Scope 3 GHG emissions. Often-under reported or not declared, Scope 3 supply chain metrics are analysed in real time with high accuracy. It uses up-to-date global parameters and industry protocols and applies external data sets such as weather and traffic to enrich prediction models.
SaaS solution with scalable and flexible integration to connect to existing systems. Providing an enterprise level security and anonymisation of data to ensure protection of sensitive data.
Granular carbon management makes forecasting and reporting easier and far more accurate, increasing transparency for stakeholders, regulators, and consumers. Offsetting, complying with regulation and carbon trading is made easier by our asset-level, real-time analytics.
Our dashboards enable users to view real time, accurate GHG emissions and carbon footprints facilitating further analysis. Modelling of consumption data, viewing of patterns, and analysis of trends of usage are all made simple. Data sets are validated and broken down by asset level. Applied machine learning enables you to analyse trends and predictively model future carbon footprint.
Accurate predictive modelling optimises asset operations, asset purchase, and carbon offsetting in line with carbon roadmaps, making correlations with financial performance more transparent – crucial for Net Zero goals. Offsetting and carbon credits in carbon trading markets will rely on accuracy and speed, generating potential competitive advantage for those with granular, asset-level carbon footprint data.
Decarbonise the world!
Climate Change is one of the biggest existential problems we face as a civilisation. Industries have been a prime contributor to this.
Today more than ever, businesses need to understand their true carbon footprint with accuracy across the entire value chain.
Weekly insights to reduce your carbon footprint
20-22 Wenlock Road,
London, N1 7GU
hello@prognostic.io
