Cairya - Humanizing Generative AI

The Problem

After years in healthcare, I noticed a recurring pattern: mental health apps weren’t sticking. Despite rising rates of anxiety and loneliness, engagement rarely exceeded 5%. These apps were generic, transactional, and failed to build a sense of trust or connection. I began to ask: What if generative AI could humanize the experience and actually bond with the user?

  • Industry engagement ~5%

  • Apps lacked empathy & personalization

  • Rising unmet need for mental health support

person near clear glass window pane and window blinds low-light photography
person near clear glass window pane and window blinds low-light photography
The Vision

My vision for Cairya was to create an ally, not an app. Instead of delivering static chatbot-like advice, we imagined an AI that remembered you, adapted to your style, and expressed empathy through voice, body language, and facial expressions. The hypothesis was simple: if users could see and feel an AI guide as human-like, engagement would dramatically increase.

  • VR/AR avatar mockup

  • Mobile app companion screen

  • Diagram: AI → Humanized VR/AR → Bond & Trust

The Solution

We developed a multi-modal platform combining VR, AR, and mobile. At its core were three breakthrough innovations: dynamic prompting, a multidimensional memory model, and humanized avatars. Together, these created a deeply personal coaching experience — no two sessions were ever the same, and the AI adapted continuously to the individual.

  • Dynamic Prompting: Unique prompts for each user/session

  • Memory Model: Prioritized knowledge, style adaptation, continuity

  • Humanized VR Avatars: Voice, body, facial expressions → empathy

  • Mobile Companion App: Portable access and daily touchpoints

My Role

As founder, I wore multiple hats: visionary, designer, AI technologist, and product lead. With no CTO or AI expert, I dove deep into generative AI myself, mastering prompt engineering, RAG methods, voice API's and system design. I translated these learnings into clear specifications for our developers, who helped me deliver an MVP in just 12 weeks.

  • Defined product vision & strategy

  • Designed UX and AI interaction model

  • Learned and applied AI tech hands-on

  • Coordinated offshore devs, drove delivery

  • Secured angel funding + first customer

person reading book
person reading book
Impact & Validation

The results exceeded expectations. In user tests, 90% of participants engaged semi-daily — nearly 20× higher than industry averages. Many users began referring to their AI guides by name, a clear sign of emotional connection. Investors validated the concept, and we secured both funding and our first customer. Cairya wasn’t just another app — it was proof that AI could feel human. By combining generative AI, memory, and immersive design, we created a new category of empathetic AI for mental health and loneliness. For users, it wasn’t about “using AI” — it was about feeling less alone.

  • 90% adherence vs. 5% benchmark

  • 2× engagement, +15% retention

  • Users humanized avatars, calling them by first names

  • Angel investment + first enterprise customer

Challenges

We faced skepticism from Healthcare providers and organizations; many feared AI “replacing” mental health professionals. We pivoted, positioning Cairya not as a therapist but as part of the care team, providing continuity and insights between sessions, while keeping the user 'afloat'. This reframing opened the door for adoption while keeping patients supported.