Two industry leaders, BABL AI and QuantPi, have joined forces to revolutionize AI trust and compliance. BABL AI, renowned for its expertise in auditing AI systems, will now offer its audit services on QuantPi’s AI Trust Platform. This collaboration aims to empower customers across all industries to maximize the benefits of AI while mitigating risks effectively.
Customers leveraging BABL AI’s audit services on QuantPi’s platform can expect expert technical assessments that ensure the utmost regulatory compliance and performance standards are met. This partnership will provide comprehensive risk tests on bias, robustness, explainability and more, offering invaluable insights to organizations navigating the complexities of AI deployment.
“As an AI and algorithm auditing firm, we need detailed visibility into companies’ algorithmic systems to provide the level of assurance required by forthcoming standards and regulations. A partnership with QuantPi ensures we can get that visibility without disrupting their clients testing, monitoring, and governance workflows,” said CEO Shea Brown
QuantPi CEO, Philipp Adamidis says the following: “What QuantPi brings in technical expertise to validate insights into the risks, benefits and compliance status of AI systems, BABL AI enhances through its in-depth industry knowledge into auditing and certifying AI systems. The partnership offers customers a truly holistic AI governance solution, which we are excited for!”
For more information about BABL AI’s audit services on QuantPi’s AI Trust Platform, please visit QuantPi’s website HERE.
About BABL AI:
Since 2018, BABL AI has been auditing and certifying AI systems, consulting on responsible AI best practices and offering online education on related topics. BABL AI’s overall mission is to ensure that all algorithms are developed, deployed, and governed in ways that prioritize human flourishing.
About QuantPi:
After seven years of research, QuantPi spun-off the CISPA-Helmholtz Center and was founded in 2020. It enables organizations to validate AI systems at an unprecedented speed. Through automated risk and performance assessments, the black boxes of AI are made transparent, explainable and compliant with regulations or internal guidelines.
