We are in an era of Large Language Models (LLMs), where AI is set to revolutionize knowledge work. The world is rapidly moving towards AI agents handling complex analytical tasks, freeing up human capital for more strategic and high-value decision-making. We recognized that equity analysts spend an extraordinary amount of time on manual data collation and interpretation, which could instead be automated to enhance efficiency and accuracy. This insight led us to build stockinsights.ai—a platform that empowers equity research, allowing analysts to focus on deeper insights rather than repetitive tasks.
We are on a mission to build a purpose-built AI for investment research—a full-stack architecture that integrates real-time access to public company filings, contextual understanding, and LLM-based reasoning models. Our goal is to develop a system that doesn’t just analyze data but understands financial context, enabling deeper, domain-specific reasoning that evolves with technology progress.
Ganesh comes with a strong background in data, machine learning, and extensive experience in product management. Having led ML/product strategy at multiple teams (Avaamo, eKincare, Dell), he is now on a mission to simplify and scale equity research. Ganesh holds a B.S. from IIT Madras and has extensive experience in SaaS product strategy.
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Sahas brings extensive experience in scaling engineering teams and optimizing system architecture at high-growth startups, including Swiggy, Turvo, and Walmart Labs. With a background in Computer Science from BITS Pilani, he is focused on building powerful, user-friendly financial tools.
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