Khaled Jalanbo built Valia Ventures from repeated SPVs he personally set up before institutionalizing into a fund, taking an unusually founder-friendly approach with his first fund by offering LPs zero carry and only a management fee to prove performance first. He draws parallels between his experience representing emerging artists and backing founders, thinking of himself as the good gallery that creates demand around under-the-radar talent, and was the first firm to write a check into Humane before it became heavily funded.

• Strong conviction in the intersection of AI and hardware, specifically focusing on the evolution of human-computer interaction. He champions the idea that building the future requires rethinking the physical world, evident in his deep, multi-year support of Humane and the Ai Pin as a defining shift in personal computing and multimodal AI.
• Admiration for the grit and tenacity required to build complex products over long time horizons. He frequently encourages a resilient, brick-by-brick mentality for founders, praising teams that demonstrate the endurance to execute on hard hardware and software visions over several years.
• Macro perspective on the AI ecosystem that extends beyond code into energy, materials, and infrastructure. He pays attention to the structural constraints and opportunities of the AI boom, such as the need for physical resources to support growth and the high density of elite AI engineering talent found in European hubs like London.
• Active interest in health technology startups that prioritize high-quality product engineering and design. He has publicly supported companies like Superpower and shares opportunities for engineers who combine strong product instincts with a specific passion for improving healthcare outcomes.
• Appreciation for product-led investing where conviction is built through direct usage. He highlighted his investment in Scouts after starting as a genuine user of the product first, suggesting he values tangible utility and a superior user experience when evaluating new tools.