TORONTO: Hudson Labs Announces Launch of Co-Analyst AI Platform

Hudson Labs, a financial AI company founded in 2019, today announced the launch of its Co-Analyst platform, a high-precision AI system purpose-built for institutional investors. The Co-Analyst represents a shift away from generic data aggregation and generalist AI, providing source-verified, finance-specific intelligence designed for equity research professionals.

Institutional-Grade Performance Drives Real Efficiency Gains

The launch follows extensive beta testing with hedge funds, asset managers, and family offices representing over $1 trillion in combined assets under management (AUM). Early results show the platform reduces research time by more than 50% while maintaining the accuracy, reliability, and auditability institutional investors demand.

The platform automates insight extraction, compares documents across periods, and unifies filings, transcripts, and presentations for faster decisions.

Client feedback underscores the impact

"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.” ~ Tripp Blumm, Portfolio Manager, Princeton Value Partners

“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.” ~ Ken Taylor, Analyst, Telos Research

“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” ~ Brett Caughran, Fundamental Edge

Generalist AI fails most dramatically where investors need it most

• Multi-document analysis
• Guidance identification
• Numeric accuracy and precision

As a result, AI solutions have failed to deliver the consistency, reliability and utility required by institutional investors.

The Co-Analyst gets it right by applying proprietary retrieval systems, custom AI models, source selection, noise suppression technology, and in-house pipelines to ensure institutional-grade precision, transparency, and trust.

“Generalist AI tools simply don’t meet the standards of institutional finance,” said Kris Bennatti, CEO and Co-Founder of Hudson Labs. “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.”

About Hudson Labs - Technology Leadership

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.

For more information about Hudson Labs and the Co-Analyst, visit: https://www.hudson-labs.com/post/introducing-co-analyst

Fonte: Business Wire