Mantle Labs | ESG Tech | Accelerating Climate Project Approvals with Gen AI Solutions for Carbon Credits Calculation at Scale

Solution

1. Introduction of the PDD Generation Module

Mantle Labs has launched an innovative Project Design Document (PDD) generation module within its carbon platform, Geotree. This module aims to streamline the creation of PDDs necessary for registration in Nature-Based Carbon Markets. It begins by ingesting initial project conditions and detailed project data into a standardized template, encompassing essential environmental, financial, and socio-economic information relevant to each project.

2. Data Input and Dynamic Retrieval

The process begins when the user inputs the required data fields necessary for creating the PDD. Based on this user input, the system dynamically retrieves a comprehensive data corpus from regulatory bodies and external agencies using APIs. This data often consists of large files that can extend into thousands of pages. The data is stored in Amazon S3 bucket.

3. Embedding and Vector database

To manage this extensive information effectively, the data undergoes chunking, and embeddings are generated using the embedding module in AWS SageMaker. These embeddings are then stored in AWS OpenSearch, which functions as the Vector Database, enabling efficient search and retrieval.

4. Generation of PDD

After the data is processed and the embeddings are generated, the next step is to create the final PDD. This process involves:

• Model Utilization: The embeddings are utilized by a Generative AI model hosted in AWS SageMaker, which synthesizes the information into a cohesive document.
• Continuous Training: The outputs generated are continuously fed back into the model for further training, allowing it to adapt and improve over time based on real-world data and user feedback.