AI foundation layers that actively incorporate the latest research in cultural contexts, ensuring responsible and safe AI development that upholds the essence of humanity.
A universal, abstracted cultural context layer, allowing AI systems to seamlessly adapt to diverse cultural nuances, much like humans intuitively grasp cultural cues.
By focusing on the humane aspects of AI interactions, we promote a technology that serves as a bridge, not a barrier, between different cultures.
A high-performing team, blending the multicultural communities of Toronto and the East Bay. Passionate about advancing contextual, responsible AI.
Our team is dedicated to help you navigate the complexities of cultural nuances in AI, ensuring your global engagement is effective.
CPO
Johann is a product leader and entrepreneur with a track record of building and scaling digital platforms in complex markets. As Chief Product Officer at Quennar, he drives product development and go-to-market strategy, drawing from his experience at Shopify. His work has earned recognition in StartupBootcamp, Top 100 Swiss Startups, and Wayra, and he remains passionate about creating technology solutions that drive trust, growth, and accessibility.
COO
Lucy is an operations and strategy leader specializing in emerging technology, infrastructure, and governance.
As COO of Quennar, she drives execution and growth in AI, drawing from her experience at Intel/Mobileye, where she led global initiatives in autonomous vehicle safety, IoT partnerships, and AI governance.
Lucy has worked on global policy, crisis response, and technology deployment, with a focus on ethical AI and complex systems.
Chief Scientist
Natalia works at the intersection of AI, culture, and governance. As a researcher at the Berkeley AI Research Lab, she examines how AI systems shape and reflect societal narratives. As Chief Scientist at Quennar, she leads efforts to develop contextual AI capable of navigating complex societal dynamics. With her publications in leading academic and industry forums, she contributes to shaping conversations on AI governance, ethics, and cultural enrichment.
CEO
Sepehr’s background lies at the intersection of science and AI. He has led various tech initiatives to success, bridging the gap between technical innovation and real-world applications. In his role at Shyftbase, he oversaw the development of agentic supply chain solutions, leveraging AI to optimize operations for enterprises. At Quennar, he drives efforts to develop context layers for AI and agents, pushing the boundaries of how machines interpret and engage with society.
