Implika Sustainability Tool

1. Comparative Analysis of ESG Software Solutions: A comprehensive analysis of existing global ESG platforms has been conducted, identifying their strengths and weaknesses. It has been determined that a sector-independent and AI-powered approach can fill the gap in this market.

2. LLM Orchestration Framework Analysis: Frameworks (Semantic Kernel, LangChain) related to the use of large language models in sustainability assessment have been systematically compared. The Semantic Kernel + Kernel Memory combination has been determined to be optimal in terms of compatibility with the .NET ecosystem, Azure service integration, and RAG pipeline capabilities.

3. RAG-Based Regulation Access Approach: A Retrieval-Augmented Generation (RAG) based approach has been designed to convert ESG regulatory documents into an AI-processable format. A comparative analysis of semantic chunking, embedding, and vector search technologies has been completed.

4. Multi-Tenant AI Architecture Design: A multi-tenant architecture design approach has been presented that ensures complete isolation of data from different organizations, allowing AI processes to be executed securely.