Climatica's platform offers a real-time, comprehensive view of an organization's carbon value-chain. Our dynamic and personalized software includes emissions meta dashboards, carbon allowance and asset reporting, and scope 3 calculations with analytics. Additionally it features capabilities for water and utility consumption and waste and recycling reporting, as well as specialized AI tools for carbon emissions for manufacturing, freight and logistics. The platform also incorporates advanced features like generative AI and AI agents, providing robust solutions for effective carbon management.

Climatica excels in representational modeling by virtually mapping the entire business value chain according to the three scope classifications. With a focus on attribution, our software assists in identifying carbon emission sources tied to specific business activities.

Additionally, our parametric setups allow AI configuration for managing thresholds and issuing actionable alerts, while our system facilitates streamlined reporting, generating voluntary or mandated disclosures for comprehensive ESG and emissions management.

Climatica LLM’s and AI

Large language models (LLMs) are artificial intelligence systems that generate natural and human comprehensive language outputs. Our LLM’s are trained on massive amounts of legislative, numeric and scientific data to summarise, translate, calculate, answer, and infer upon carbon emissions across complex supply and value chains. Our LLM research spans the entire lifecycle of carbon emissions ecosystems including training, inference, storage, and experimentation.

Climatica LLM’s can assist governments and enterprises in reducing their carbon footprints through various innovative and efficient methods. Here are several key ways in which Climatica LLM’s contributes to this goal:

By leveraging AI in these and other areas, governments and enterprises can significantly reduce their environmental impact and move towards more sustainable practices. The key to maximising these benefits lies in the thoughtful integration of AI technologies with environmental policies and corporate sustainability strategies.