QQ Tech was founded in 2022 to resolve a fundamental challenge in modern technology: mainstream AI tools are broad generalists, while modern enterprises require reliable specialists.
We believe organizations should never have to compromise intellectual property, accept runaway compute fees, or dedicate internal engineering resources to maintaining complex machine learning infrastructure. By pairing specialized, eco-conscious model architecture with white-glove operational support, QQ Tech empowers companies to deploy AI with complete confidence.
Yoed leads corporate strategy, strategic partnerships, and growth at QQ Tech. With extensive leadership experience across technological ventures, he drives the strategic vision of expanding high-utility AI ecosystems while maintaining corporate capital efficiency and market execution.
Dana oversees AI research, platform architecture, and technological development at QQ Tech. Bringing deep expertise in computer science, machine learning models, and system architecture, Dana guides the engineering teams in building domain-precise, sovereign, and eco-efficient AI infrastructures.
Gabriel directs global marketing strategy, product positioning, and brand growth across the QQ Tech ecosystem. With a track record in technology marketing and enterprise positioning, Gabriel builds impactful go-to-market strategies that translate complex AI capabilities into clear value for B2B stakeholders and partners.