Tenor
Infrastructure for building and scaling AI-native businesses.
About Tenor
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.
Founders
Amgad Al-Zamkan
Founder
Co-founder @ Tenor. Previously at Amazon, studied CS at UC Berkeley and TU Munich. As a grad student, Amgad's research focused on optimization objectives in recommendation algorithms and shaping adaptive decision systems.
Hamze Al-Zamkan
Founder
Co-Founder @ Tenor. Giving AI a place in the org chart to scale companies without adding headcount. 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.
Muhtasham Oblokulov
Co-Founder
Co-founder @ Tenor, building the future of AI-native work. 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.