Mumbai, Feb 18: ESG Data & Solutions (ESGDS), a fast-growing Indian technology company, is transforming how investors, banks, and financial institutions analyze Environmental, Social, and Governance (ESG) performance with its AI-powered research platform, ESGSure. Built on MongoDB Atlas, ESGSure enables seamless tracking, ingestion, and analysis of vast, diverse, and unstructured ESG datasets, delivering real-time, actionable insights at scale.
ESGDS faced a major challenge: ESG data is notoriously complex, coming from sources such as annual reports, news articles, compliance records, videos, PDFs, APIs, and client questionnaires. Traditional relational databases like PostgreSQL and vector search platforms such as Pinecone could not handle the volume, variety, or velocity of data ESGDS required to power AI workflows efficiently.
“Our platform needs to process massive, diverse, and unstructured data sets to deliver AI-driven granular and actionable insights,” said Arun Doraisamy, Co-Founder and CTO, ESGDS. “We needed flexibility, scalability, and simplicity—moving away from relational models to a database that could grow with us.”
The Solution:
In 2020, ESGDS migrated to MongoDB Community Edition, and in 2023, transitioned to MongoDB Atlas, a fully managed service with elastic scalability, multi-region deployment, and advanced security features. MongoDB Atlas enabled ESGDS to:
- Handle unstructured, diverse, and continuously growing datasets with a flexible document model.
- Leverage MongoDB Atlas Vector Search for efficient hybrid queries combining vector and text search, eliminating the need for separate vector databases.
- Automate data ingestion and AI workflows, reducing manual ESG data review from days to minutes.
- Ensure enterprise-grade security and regulatory compliance, including GDPR.
- Deploy globally across multiple clouds and regions to support expansion in Europe, Asia-Pacific, and North America.
The Results:
- ESGSure has vectorized nearly 400,000 ESG documents within a year.
- Manual ESG data review time has been reduced from 2–3 days to minutes, delivering timely and accurate insights for investors.
- Data ingestion volume has nearly doubled, enabling scalable AI-driven analysis of ESG performance across industries.
- The MongoDB-powered platform supports ESGDS’s Scalabl AI, a broader AI automation solution for high-volume, complex data workflows across financial services, supply chain, and real estate sectors.
“MongoDB is a core part of our offering. Without MongoDB Atlas, we couldn’t have built a performant, scalable AI platform reaching global markets and multiple industries,” said Rohit Kodancha, Co-Founder and Chief Revenue Officer, ESGDS.
“The ability to offer clients the option to host the platform on their preferred cloud—or even on-premise—while maintaining security and compliance is a game-changer.”
By leveraging MongoDB Atlas, ESGDS has not only transformed ESG data analysis in India but is also empowering investors and enterprises worldwide with fast, accurate, and actionable insights.