ml-testing
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Kolena
Kolena is a San Francisco-based AI company building software that automates document-heavy workflows for regulated industries - real estate, insurance, banking, and financial services. Founded in 2021 by Mohamed Elgendy, Andrew Shi, and Gordon Hart, the company began as a rigorous ML model testing platform and has since extended that quality-first DNA into agentic document workflow automation, with an emphasis on transparency, citations, and auditability.
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.