Our Story
In 2019 we were founded as a financial NLP research team. We spent our first year working on adapting open source language models and state-of-the-art natural language processing techniques to the complex and underserved area of financial text and corporate disclosure. That year of research formed the basis for our forensic equity research product which we launched in April 2021.
Our mission is to address information overload in capital markets. Most of the “data” available to corporate stakeholders is in the form of unstructured text.
In an age of bloated disclosure requirements, It is untenable for a human being to read, understand and act on all of this information.
Through improving accessibility and understandability of impactful financial text, we hope to increase corporate accountability, improving both market efficiency and fairness.
About the Founders
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Kris Bennatti, CEO & Founder
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Prior to founding Bedrock AI, 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 also 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.
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Suhas Pai, CTO & Founder
Suhas is a well-known applied natural language processing and machine learning researcher, currently focused on language models and information retrieval. He is currently 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.