The evolution of AI fairness has come a long way.
Started as interdisciplinary research involving philosophy, cognitive science and computer science, FAIRLY is now at the forefront of commercializing these research results into actionable protocols. 
OUR MISSION
To make AI work for everyone.
OUR VISION
To automate AI governance, risk and control protocols in day-to-day engineering and in the entire end-to-end model lifecycle.
OUR TECHNOLOGY 
For organizations that have prioritized AI projects to create business value,  Fairly is an API-driven toolkit that runs independent enterprise-scale, governance, risk, and control protocols. If you don’t manage your AI ethical risk alongside your financial risk, you are guaranteed to fail. Fairly extends model risk management to AI by incorporating protocols for ethical risks with a focus on Fairness, Accountability, Transparency and Explainability. (F.A.T.E.)
FAIRLY is platform agnostic and receives data from all major technologies. We have direct integrations into Kubeflow and Google AI Platform and will soon release integrations with AWS SageMaker and Azure Machine Learning.
OUR PEOPLE 
Based in Canada, in the Toronto-Waterloo innovation corridor, our team has decades of experience in providing enterprise technology solutions at Fortune 500 companies in addition to expertise in data science, model risk management and AI ethics.
FOUNDING TEAM
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David Van Bruwaene

Co-Founder and CEO

David did his PhD studies at Cornell for Philosophy and Cognitive Science and was a visiting scholar at Berkeley. He taught business ethics at the University of Waterloo before becoming the lead data scientist and CEO at an AI startup using NLP to detect cyberbullying on social media. From his unique experience as an academic, practicing data scientist, C-level executive and as a father, he truly understands the gap that exists and is determined to bring oversight to keep AI safe for everyone.

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Fion Lee-Madan

Co-Founder and COO

Fion is a technologist and B2B product marketing expert with 20+ years of experience in the enterprise software space. She has double majored in computer science and human biology at the University of Toronto and completed her part-time MBA degree from Boston University. She was the technical team lead in product marketing at ATG when it was acquired by Oracle in 2010. Having lived in 6 different countries, she has seen first-hand the disparity between developing and first world countries. It is one of her goals to make sure AI does not create more inequalities in the world.

ADVISORS
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Debora Bielecki

Member, Board of Directors

Bank of Canada

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Mary Komor

2 patents & 10 publications

Data governance & streaming applications

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    Wendy Robertson

CEO/Co-Founder

Kneebone SaaS

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Jon Hill, Ph.D.

Adjunct Professor, Model Risk

NYU Financial Risk Engineering

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Pamela Jasper, PMP

AI Ethicist

FAIR Framework for AI Risk

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        Jason Boud

CEO/Co-Founder

RegTech Associates

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Yaping Jiang, Ph.D.

Managing Director, FRM

JW Matrix

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Girish Kumar

CTO/Investor

Enterprise software and startups

LINKS
ABOUT

info@fairly.ai

Tel: 647-468-2741

290 King St E

Kitchener ON

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