In this episode, Sunny Ray talks with Samah Damanhoori, founder of Blendbound, a studio gamifying the collection of emotional intelligence data. Damanhuri explains how her puzzle game Folded, set in a black and white world that regains color as players solve challenges and connect with others, gives Gen Z players a safe space to process emotions that current platforms rarely address. She traces her path from Arabic language producer for Siri at Apple, through roles at Meta, HBO, Niantic and Genvid, to founding Blendbound after her short film Paper City screened at seven festivals in 2020. Damanhuri describes joining Techstars after a cold LinkedIn message, completing six accelerator cohorts, and building a privacy conscious data model that anonymizes emotional signals rather than demographics. The conversation covers her central thesis that the future of AI is not about efficiency but about emotional systems, identity and connection, plus how Folded's GDC selection and Steam demo are helping her studio find early players in the US, Saudi Arabia and Sweden.
Blendbound's founder on gamifying emotions, why AI's next frontier is emotional intelligence, and building a privacy first puzzle game for Gen Z.
What is Blendbound and what problem are you solving?
I'm the founder of Blendbound. We're gamifying how we collect emotional intelligence data, starting with emotional sandbox games for Gen Z who feel trapped in their emotions with no safe space to express them. Our game is set in a black and white world where solving puzzles and connecting with others brings back the colors. Through that experience players work through real emotions, and with consent we can identify and use that data to eventually feed AI and other future technologies.
You were the Arabic language producer for Siri at Apple. What does building a voice assistant in a second language teach you that English never would?
Arabic has so many dialects and cultures, which is something I never recognized about English. It made me realize that even American accents change completely from one state to another, along with the mindset and approach behind them. That really widened my perspective on how diverse Americans actually are.
You trained in literature, linguistics and creative writing before shipping software. Where do those two tracks converge for you?
If you go deep enough into language, theory and learning how to prove a point, it leads you into law, problem solving and simplifying things. That background made it easy for me to move into tech, because I could quickly understand why teams exist, how they communicate, and how to simplify that through what I studied.
Paper City screened at seven festivals in 2020, and Folded is set in the same world. Why take a short film's world and rebuild it as a game?
When Paper City was selected at seven festivals, it made an impact on a smaller group of people, then AI arrived and there was a need for new imaginary worlds, especially for younger generations, to bring stability instead of escapism. The bigger idea was to expand that short film into something longer, and as AI, VR and AR evolved, we shifted the same concept into a game.
You worked at Apple, Meta, HBO, Niantic and Genvid. What did you learn about how big companies decide what gets built?
It's very different company to company. Some care about empowering one specific market and voice and will do almost anything for that, even internationally. Others care mostly about reputation, so everything from product design to team building to their actions gets shaped around that. And some, honestly, just care about money, whatever makes them the most of it.
What made you leave production work to start a studio rather than pitch this as a project inside one?
I never wanted to be a CEO or start a company, I just fell in love with the problem. I researched fairy tales and fables and how we could change people's narratives, and I kept following that step by step. Then Techstars messaged me on LinkedIn, I applied, got into their first women founders cohort, went through six cohorts total, and realized there was something here worth building. That's how Blendbound was born.
You've said the future of AI is not about efficiency but about emotional systems, identity and connection. What convinced you of that?
AI and automation are inevitably going to happen and get smarter. What we haven't paid enough attention to is the emotional aspect. Emotions are only about one percent of all the data in the world, yet they're what make us valuable once these technologies take over routine tasks. If we identify and feed emotional data into technology, we could finally build a world focused on connection and support, not just efficiency.
Take me five years out. Does an emotionally intelligent AI companion become normal software or stay a niche category?
It will become very normal. We're already in early B2B conversations with wellness and health companies who are taking this seriously, using companions to check on your health, guide exercise, or act like a therapist. It's really just going to get more precise about what kind of companion, from these agentic systems, you actually want to have.
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