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Tenor is a full-stack infrastructure for building and running AI-native businesses. We’re not just an agent framework, we manage the entire loop from how AI executes work to how every action, decision, and business outcome is captured and learned from. Owning the full stack lets companies deploy governed AI workflows, understand what actually drives results, and continuously improve how their business operates without building the infrastructure themselves.
Co-Founder @ Tenor As President of TUM.ai, he scaled it into Europe's largest student-led AI initiative. Spent his university years at TUM and CDTM working at venture-backed startups to apply those learnings to a company of his own.
Co-founder @ Tenor. Previously at Amazon, studied CS at UC Berkeley and TUM. As a grad student, Amgad's research focused on recommendation algorithms and shaping adaptive decision systems.
Co-founder @ Tenor. Early contributor to DeepSeek and co-author of the highly cited StarCoder series and CodeClash with Stanford University. Previously deployed large-scale AI systems across global reinsurance markets.
Founded 2026 · Source
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Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.