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Our Story

“Fewer than 1,000 people in North America know how to build a competitive LLM from scratch.”

in 2019 Hudson Labs was founded as an NLP research team, focused on adapting language models to the complex and underserved area of financial disclosure. Our proprietary research forms the basis for our equity research product which we first launched in April 2021. 


Through improving the accessibility of high-impact financial disclosure, we aim to increase corporate accountability, and thereby improve both the fairness and efficiency of capital markets.

About the Founders

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Kris Bennatti, CEO & Founder

Prior to founding Hudson Labs, Kris worked as a Data Scientist at Canadian corporate governance advisory firm, Hansell McLaughlin. Her work there on financial text analysis was published by the Harvard Law School Forum on Corporate Governance and the Conference Board.  


Kris also taught Python programming and data analytics at an AI boot camp.


Kris is CPA, CA (inactive) and spent three years at KPMG in financial statement audit. She has a masters degree in data analytics from the Schulich School of Business and an undergraduate degree in Accounting and Economics from McGill University. 


She’s passionate about economics, statistical modelling, corporate accountability, and endurance sports. 


Watch Kris’ interview on BNN Bloomberg here and her panel discussion at Berkeley Fraud Fest here. 

Suhas Pai, CTO & Founder


Suhas is a well-known applied AI, natural language processing and machine learning researcher, currently focused on large language models and information retrieval. He is writing a book on large language models with O’Reilly Media. He has been active on the open-source LLM front, having been the Privacy co-chair at Big Science for the BLOOM LLM, which at the time of its release was the world’s largest open-source multilingual LLM, along with contributions to various other LLMs and their training datasets. He has been the chair of the Toronto Machine Learning Summit for the last 3 years, and is the NLP lead at Aggregate Intellect, an ML community.


Suhas has a Masters degree in Computer Science from Eindhoven University of Technology in The Netherlands, and has had a long career in software and machine learning, including working as a senior (staff) software engineer at IBM for over 5 years in the field of information security.


Apart from LLMs, Suhas is also passionate about politics and data-driven political strategies, densely populated cities and public transit, and repeating the same April Fools joke every year. 

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