FairNow

FairNow is a leading provider of AI governance software, specializing in simplifying and centralizing AI risk management at scale. Their platform helps organizations build, buy, and deploy AI with complete confidence by ensuring compliance with global regulations, mitigating bias in AI models, and providing detailed insights into AI performance. FairNow's mission is to empower organizations to leverage the power of AI responsibly and ethically.

FairNow offers a comprehensive suite of features, including centralized AI model inventory, intelligent risk assessment, automated bias audits, customizable AI governance tools, seamless data integration options, and advanced reporting & audit trails. Their approach is built on a deep understanding of AI regulations, industry best practices, and a commitment to making AI governance accessible and actionable for all organizations.

FairNow is an AI governance platform that simplifies and centralizes AI risk management for organizations of all sizes. Their mission is to empower organizations to build, buy, and deploy AI with complete confidence by providing tools and resources to ensure responsible and compliant AI use. FairNow's platform helps organizations track their AI inventory, assess risks, conduct bias audits, manage compliance, and educate their teams on ethical AI practices.

FairNow promotes a culture focused on responsible AI development and use. The company emphasizes ethical principles, transparency, and accountability in all its activities, aiming to build trust among employees, clients, and the wider community. This commitment to responsible AI is reflected in their products, services, and communication, creating a collaborative environment where individuals can contribute to a more ethical and beneficial future for AI.

FairNow's approach to diversity, equity, and inclusion is focused on ensuring that all of its AI systems are fair and unbiased. The company has developed a proprietary Synthetic Fairness Simulation methodology that allows organizations to run bias audits without any integration at all, drastically reducing the cost of traditional audits. This approach helps to ensure that AI systems are not perpetuating existing biases and that they are being used in a way that is fair and equitable for everyone.