explainability
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Monitaur
Monitaur is a Boston-based B2B software company that builds an AI governance platform for highly regulated industries, most notably insurance and financial services. Its 'policy-to-proof' approach helps enterprises define AI policies, inventory and manage models, and automatically generate the evidence, monitoring, and audit trails that businesses, regulators, and consumers need to trust high-impact AI. Founded in 2019 by Anthony Habayeb, Andrew Clark, and Michael Herman, the company raised a $6M Series A in 2024 and has been recognized by Forrester as a Customer Favorite in AI governance.
Brain Co.
Brain Co. is a San Francisco-based enterprise AI company that deploys production-ready AI applications for the world's most complex, regulated industries - from government and healthcare to hospitality, energy, and supply chain. Founded by a constellation of Silicon Valley heavyweights including Elad Gil and Dan Ashton, and backed by an elite roster of investors including Patrick Collison, Reid Hoffman, and Andrej Karpathy, Brain Co. raised a $30M Series A in September 2025. Its core technology converts dense regulatory documents into executable rules engines that make AI decisions auditable and compliant - so that governments can permit faster, hospitals can care better, and supply chains can run leaner.
Christoph Molnar
Christoph Molnar is a Munich-based statistician-turned-ML-author who turned a side project into the field's most-cited book on interpretable machine learning. Author of six books including the canonical 'Interpretable Machine Learning' (3rd ed., 2025), he runs the Mindful Modeler newsletter and consults on making black-box models explainable. With 16,000+ Google Scholar citations and a PhD from LMU Munich, he sits at the precise intersection where statistical rigor meets machine learning pragmatism.