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.
To make AI work for everyone.
To automate AI governance, risk and control protocols in day-to-day engineering and in the entire end-to-end model lifecycle.
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.
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.
We are a diverse multi-disciplinary team 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.
David Van Bruwaene
Co-Founder and CEO
David is a purpose-driven serial entrepreneur, philosopher, and educator; a leader in consumer and business strategy for ethical technologies. As CEO and lead data scientist at VISR (sold to SafeToNet), he developed mission critical cyber-bullying detection software and sits on the company's board. Fairly AI is an extension of his mandate; a timely and important toolkit to promote and protect human rights in the growing concern of AI model development. With academic roots in Cognitive Science and Philosophy at Cornell University, David has academic relationships at UC Berkeley, the University of Ottawa, and the University of Waterloo.
Co-Founder and COO
Fion understands the changing B2B Enterprise software landscape and the impact of AI. As a technical and business leader at various Fortune 500 clients and at ATG before, during, and after its Oracle acquisition, she led product-market-fit, demand generation and customer success projects and thrives in competitive markets. With a degree in Computer Science and Human Biology from University of Toronto and an MBA from Boston University, Fion has the drive to guide Fairly's operational roll-out in the fast moving AI space. Her experience living and working Internationally, fuels a deeply serious commitment to equality and the agenda to recruit a vast network of like-minded colleagues to Fairly AI standards.