Companies across various sectors, particularly in the energy industry, face increasing demands from regulators, investors, and the public to prove their climate performance. To meet these demands, it is essential to focus on accurate measurement, monitoring, and mitigation of carbon emissions, surpassing traditional factor-based reporting methods. Reliable climate data not only strengthens trust in sustainability programmes but also unlocks business value and financial opportunities.
The Decarbonization-as-a-Service™ (DaaS™) solution offers a comprehensive and integrated approach to addressing these challenges. By utilising machine learning and AI, DaaS™ enables firms to enhance their operational performance and accelerate their Net Zero initiatives. This solution is now available on the Context Labs platform, deployed on Azure, which provides enhanced security and tooling through Azure OpenAI Service.
DaaS™ empowers customers to transition from incomplete and inaccurate models to automated, digitally-quantified, third-party attested environmental data. This innovative Asset Grade Data (AGD™) technology supports full lifecycle carbon accounting, providing a stronger proof of performance for emissions reduction activities. This facilitates the advancement of climate goals, strengthens compliance and reporting, and improves operational visibility.
By harnessing DaaS™, companies can ensure that their efforts in emissions reduction are accurately measured and monitored, leading to trusted insights and improved climate performance. This comprehensive solution not only helps firms meet growing climate demands but also opens up new avenues for business value and financial opportunities in the energy transition.
i(x) Net Zero plc (LON:IX) is an investing company which focusses on Energy Transition and Sustainability in the Built Environment, and was founded in 2015 by Trevor Neilson, Pär Lindström and Howard W. Buffett. It has holdings that are committed to facilitating and accelerating the transition away from energy that is derived from fossil fuels to clean and renewable energy sources including Context Labs.
