Inspiration
Selvam was inspired by how difficult and fragmented business evaluation can be. Understanding whether one company should acquire another usually means digging through financial statements, market trends, ESG factors, and scattered research across multiple platforms. We wanted to build something that brings those pieces together into one intelligent system. Our goal was to make merger and acquisition analysis more accessible, strategic, and data-driven for investors, founders, and business teams.
What it does
Selvam is an AI-powered business evaluation and merger analysis platform. It helps users assess a company’s financial health, visualize key metrics, and compare two businesses to determine whether an acquisition or merger would make sense. The platform can analyze valuation-related data, compare strategic fit, and incorporate ESG information to give a broader picture of business impact and risk. It is designed to support questions like whether Company X should acquire Company Y, whether the relationship would be mutually beneficial, and what strengths or weaknesses each side brings to the deal.
How we built it
We built Selvam as a full-stack application with a frontend for user interaction and data visualization and a backend that handles financial analysis and API integration. We used financial data sources such as Yahoo Finance to retrieve company information and support comparative analysis. On top of that, we built custom utilities for valuation insights, ESG graphing, and business-to-business comparison. The system was structured so that public company data could be fetched dynamically while private company data could also be added in a standardized JSON format for internal comparison. We focused on making the application modular so that different analysis tools could work together inside one platform.
Challenges we ran into
One of the biggest challenges was dealing with incomplete or inconsistent financial data across sources. Not every company has the same depth of available information, especially when comparing public and private businesses. We also ran into technical issues with integrating ESG data into the visualization workflow, handling backend deployment, and making sure the frontend updated correctly instead of failing silently. Another challenge was designing comparison logic that was meaningful rather than just showing raw numbers. We wanted Selvam to help interpret business fit, not just display data.
Accomplishments that we're proud of
We are proud that Selvam goes beyond a basic stock dashboard and moves toward real business decision support. Instead of stopping at valuation charts, we built a platform that can compare companies in a way that is actually useful for acquisition thinking. We are also proud of creating a foundation that supports both live company data and standardized private-company input, which makes the platform more flexible and practical. On top of that, we were able to turn a broad idea about smarter merger analysis into a working product direction with clear utilities and expansion paths.
What we learned
We learned that building a smart business analysis platform is not just about pulling data from APIs. The real challenge is transforming financial and market information into something interpretable and decision-ready. We also learned how important clean backend architecture is when multiple features depend on live data and visual outputs. Beyond the technical side, we learned that good product design matters a lot in complex domains like finance because users need clarity, not just volume.
What's next for Selvam
Next, we want to make Selvam more intelligent and predictive. That includes improving the merger comparison engine, adding stronger AI-generated strategic insights, and expanding the way ESG and market signals influence recommendations. We also want to integrate more reliable data sources, improve private-company profiling, and build a scoring system that estimates how beneficial a merger or acquisition could be for each side. Long term, we see Selvam becoming a decision-support platform for investors, analysts, and companies exploring growth through acquisitions, partnerships, and strategic expansion.
Built With
- fastapi
- python
- vite
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