trustworthy-ai
(8)
Kili Technology
Kili Technology is a Paris-based enterprise software company that helps large organizations build high-quality datasets to train, fine-tune, and evaluate AI models. Founded in 2018 by Edouard d'Archimbaud and François-Xavier Leduc, its platform spans image, video, text, PDF, and geospatial annotation, and has increasingly focused on LLM evaluation, RLHF, and expert-driven data curation for generative AI. Backed by a $25M Series A led by Balderton Capital, Kili works with enterprises including SAP, Airbus, Louis Vuitton, Michelin, and Crédit Agricole.
Guide Labs
Guide Labs is a San Francisco AI research company building interpretable foundation models - large language and diffusion models that can reliably explain how they reach an answer, trace outputs back to their training data, and be steered without retraining. Founded in 2023 by machine-learning researcher Julius Adebayo and colleagues from the academic interpretability world, the company argues that the black-box status quo is a solvable engineering problem, not an unavoidable cost of scale. Its flagship open-source release, Steerling-8B, is pitched as the first large-scale inherently interpretable language model, and its Clarity platform packages interpretability tools for teams in regulated, high-stakes fields like lending, medicine, and drug discovery.
Justin Norden
Justin Norden is the co-founder and CEO of Qualified Health, an enterprise AI platform helping U.S. health systems deploy generative AI safely, with governance, monitoring, and clinical safeguards built in. A Stanford-trained physician with an MBA, an MPhil in computational biology from Cambridge, and a computer science degree from Carleton, he previously was a partner at GSR Ventures investing in healthcare AI, founded Trustworthy AI (acquired by Waymo), worked on Apple's healthcare team, and teaches AI in medicine at Stanford. In March 2026 Qualified Health raised a $125M Series B led by NEA, bringing total funding to $155M while serving 500,000+ users across systems representing roughly 7% of U.S. hospital revenue.
Mainak Mazumdar
Mainak Mazumdar is Chief Business Officer at Fiddler AI, the AI observability and trust company, where he leads sales, customer success and partnerships. A data scientist by training with a Ph.D. from Brown, he spent two decades remaking how the media and advertising industries measure audiences - as Chief Data Officer at Nielsen (where he launched NielsenOne), Chief Research and Analytics Officer at Fox, and a leader at DoubleClick/Google, GfK and Simulmedia. His 2020 TED Talk, 'How bad data keeps us from good AI,' argued that biased data, not algorithms, is the root of unfair AI. He holds more than 15 U.S. patents and has served on the U.S. Census Scientific Advisory Committee.
Mozilla
Mozilla builds Firefox and a family of privacy-first internet products with a single, stubborn goal: keep the web open, private, and not owned by anyone. Spun out of Netscape in 1998 and run by a for-profit corporation wholly owned by the non-profit Mozilla Foundation, Mozilla competes with the largest companies on earth while answering to a mission instead of shareholders.
Mohamed Elgendy
Mohamed Elgendy is the Co-Founder and CEO of Kolena, a San Francisco-based AI testing and validation platform that raised $21M to help enterprises build reliable, trustworthy AI systems. An Egyptian-American technologist and author of the widely-read 'Deep Learning for Vision Systems' (Manning Publications, 20,000+ copies sold), Elgendy cut his teeth building AI/ML organizations at Amazon, Twilio, Rakuten, and Synapse (acquired by Palantir) before founding Kolena in 2021. His mission: bring software engineering rigor - unit testing, regression analysis, scenario-level validation - to a field that has long relied on aggregate accuracy scores that mask real-world failures.
Vishal Sikka
Vishal Sikka is the founder and CEO of Vianai Systems, an enterprise AI company he started in 2019. A Stanford-trained computer scientist, he previously created SAP HANA as SAP's first-ever CTO and led Infosys as its first non-founder CEO. He sits on the boards of Oracle and BMW Group, advises Stanford's Human-Centered AI Institute, and has championed the idea that AI should amplify - not replace - human creativity.
Osman Mian
Osman Ali Mian is an early-career AI researcher specializing in causal discovery and trustworthy machine learning. He completed his PhD magna cum laude at CISPA Helmholtz Center for Information Security (Saarland University, Germany) and is now a postdoctoral researcher at the Institute for Artificial Intelligence in Medicine (IKIM) in Essen. He has published at top-tier venues including AAAI, ICML, AISTATS, and KDD, and won an Outstanding Paper Award at AAAI 2026 — marking him as a rising star in causal ML.