Simplifying Complex Reporting with AI-Powered Insights
Recognizing the universal challenge of manually analyzing dense ESG reports, Codya developed an AI assistant to streamline the process. The project was born from the need to eliminate time-consuming manual searches, creating an intelligent, fast, and accurate Q&A platform to tackle a common industry pain point.
Manually analyzing ESG reports is a significant hurdle for organizations aiming for sustainable and compliant operations. These documents lack a standardized format and are often dense with a mix of text, tables, charts, and diagrams, making data extraction slow and prone to error. Recognizing this widespread challenge among our clients we set out to create a solution that could understand this complexity and deliver trustworthy answers with verifiable sources.
To overcome these obstacles, we decided to design and build a sophisticated Retrieval-Augmented Generation (RAG) solution from the ground up.
Key challenges
Building a Robust RAG Pipeline from Concept to Deployment
Our approach centered on a transparent and collaborative process to engineer a solution that is not only powerful but also reliable and user-friendly. By combining deep technical expertise with agile execution, we delivered a custom AI platform tailored to the unique demands of ESG report analysis.
We initiated the project by gathering and technically refining the requirements based on the core business problem. This collaborative phase ensured a shared understanding of the goals and success criteria.
We implemented the target solution over the course of several weeks, bringing the initial concept to a fully functional platform.
Our team designed a scalable architecture, carefully researching and selecting the optimal tools, including the foundational model, response filters, vector database, and cloud infrastructure.
We conducted rigorous, iterative testing to continuously enhance the platform's efficiency, speed, and accuracy, ensuring it met our high-performance benchmarks.
Once performance benchmarks were met, we deployed the application, making it accessible for immediate use.
We initiated the project by gathering and technically refining the requirements based on the core business problem. This collaborative phase ensured a shared understanding of the goals and success criteria.
Our team designed a scalable architecture, carefully researching and selecting the optimal tools, including the foundational model, response filters, vector database, and cloud infrastructure.
We implemented the target solution over the course of several weeks, bringing the initial concept to a fully functional platform.
We conducted rigorous, iterative testing to continuously enhance the platform's efficiency, speed, and accuracy, ensuring it met our high-performance benchmarks.
Once performance benchmarks were met, we deployed the application, making it accessible for immediate use.
An intelligent assistant that transforms ESG data into actionable knowledge.
By blending meticulous software craftsmanship with deep AI expertise, we created a tool that significantly accelerates ESG analysis, ensuring every decision is backed by accurate, verifiable data.
average report length successfully processed
ESG reports analyzed and made searchable
average time for a complete, cited answer
greater accuracy over standard LLMs
average report length successfully processed
ESG reports analyzed and made searchable
average time for a complete, cited answer
greater accuracy over standard LLMs
Technology stack
Other case studies
At Codya, we work side-by-side with you, bringing technical know-how, honest advice, and a partnership built on trust.
