AI-based Hana.eco
Carbon Footprint Calculation Support
Assigning emission factors during the carbon footprint calculation process requires expert knowledge. Hana.eco utilizes AI to cluster activity data and automatically map appropriate emission factors, simplifying the calculation process and enhancing accuracy.
Reliable Information via LLM
To reduce the issue of LLMs generating incorrect answers based on uncertain external information, Hana.eco has implemented Index DB and RAG techniques. This ensures more reliable responses regarding regulatory trends, emissions trading, and other inquiries.
Hana.eco AI Features
Anomaly Detection
Detection of Data Anomalies
One of the key principles of carbon accounting is accuracy.
During the process of collecting and managing vast amounts of emission activity data, anomalies can occur due to various factors, which may compromise accuracy.
Hana.eco detects these anomalies to effectively maintain data accuracy.
During the process of collecting and managing vast amounts of emission activity data, anomalies can occur due to various factors, which may compromise accuracy.
Hana.eco detects these anomalies to effectively maintain data accuracy.
Data Prediction
Cost Reduction and Revenue Maximization
Today, carbon has direct monetary value. Accurately predicting carbon emissions under systems such as the Emissions Trading Scheme and CBAM (Carbon Border Adjustment Mechanism) enables companies to maximize revenue and reduce costs.
Emission Reduction Analysis through Carbon Prediction
Hana.eco utilizes AI to predict carbon emissions and analyze the reduction effects based on activity changes, supporting companies in strategic decision-making.
CarbonBuddy AI Assistant
Climate Regulation Compliance through Carbon Management
Effective carbon management requires the seamless integration of expertise and business strategies. This enables companies to establish optimal strategies and respond swiftly to evolving regulations.
Easier and Faster Regulatory Understanding
Hana.eco leverages generative AI and natural language processing (NLP) technology to help non-experts easily understand complex regulations and respond efficiently.