Hudson Labs, a financial AI company founded in 2019, has launched its Co-Analyst platform, a purpose-built AI system designed to transform institutional equity research. By delivering finance-specific, source-verified intelligence, Co-Analyst addresses the limitations of generalist AI, enabling investors to make faster, more informed decisions.
The Co-Analyst platform marks a significant shift from generic AI tools, offering institutional-grade precision tailored for equity research professionals. Following extensive beta testing with hedge funds, asset managers, and family offices managing over $1 trillion in assets, the platform has demonstrated a reduction in research time by more than 50% while maintaining accuracy and auditability. “The Co-Analyst combines the precision of a terminal with the adaptability of AI, allowing investors to spend less time chasing data and more time making decisions,” said Kris Bennatti, CEO and Co-Founder of Hudson Labs.
Generalist AI tools often fall short in critical areas such as multi-document analysis, guidance identification, and numeric accuracy, failing to meet the rigorous demands of institutional finance. Co-Analyst overcomes these challenges through proprietary retrieval systems, custom AI models, and noise suppression technology. “Honestly, I think this kind of data collation…is not only differentiated, but also helps bring it closer to being like an actual ‘co-analyst’ rather than a glorified ctrl-F. Great job on that, it’s the best I’ve seen,” said Tripp Blumm, Portfolio Manager at Princeton Value Partners.
Client feedback highlights Co-Analyst’s transformative impact. “I’m blown away by what you’ve built…just looked at three companies with the Co-Analyst and added one to my watchlist because I could easily see that the company has a huge pipeline that I would have missed or taken at least two hours to find,” said Ken Taylor, Analyst at Telos Research. Another user, Brett Caughran from Fundamental Edge, noted, “I also use Hudson Labs to do some of these processes too to sort of take you know what a 2- or 3-hour process was down to a 20-minute process.” The platform unifies filings, transcripts, and presentations, enabling faster and more reliable decision-making.
Hudson Labs’ Co-Analyst leverages advanced AI to provide source-verified insights, ensuring transparency and trust. The company’s expertise, led by CEO Kris Bennatti and Co-Founder Suhas Pai, combines financial acumen with cutting-edge AI research. Recognized by Forbes, The Wall Street Journal, and CNBC, Hudson Labs continues to set the standard for finance-specific AI, having launched the first LLM-powered financial application in 2021.
This launch positions Hudson Labs as a leader in delivering high-precision AI tools that empower institutional investors to navigate complex financial data with unprecedented efficiency and accuracy.
Hudson Labs has been at the forefront of finance-specific AI since its founding. The company launched the first-ever LLM-powered financial application in 2021. Co-Founder Suhas Pai, author of Designing Large Language Model Applications (O’Reilly), brings deep expertise in AI research, while CEO Kris Bennatti, a data scientist and former CPA, bridges technical innovation with capital markets experience.
Hudson Labs’ approach has earned recognition in Forbes, The Wall Street Journal, and CNBC, and the firm’s technology has demonstrated success in surfacing financial irregularities before they became public.
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