Happypillar is a VC-backed mental health innovator, providing the first evidence-based, AI-powered support program for early childhood mental wellness. Designed by licensed clinicians and backed by neuroscience, their platform offers personalized therapeutic sessions to help children build emotional regulation. As a pioneer in a sensitive and critical field, their technology must be not only cutting-edge but also exceptionally reliable, secure, and effective.
Happypillar had achieved what every startup dreams of: strong product-market fit and a passionate user base. However, their initial technology, built for the MVP stage, was now holding back their growth and ambition. They faced a trifecta of critical challenges:
Their Firebase backend couldn't handle ACID compliance requirements, and performance issues began emerging—none acceptable for a therapeutic application.
The system struggled to manage multiple, complex AI models (speech recognition, NLP), leading to inconsistent response quality and creating a bottleneck for launching new, data-driven features.
Critical workflows, customer support, content management, and AI model evaluation tools were disconnected. This operational friction was a constant drag on the team's velocity and ability to innovate.
We migrated Happypillar from Firebase to a robust, custom-built backend architected for high availability and massive scale. This new, zero-debt foundation eliminated performance bottlenecks and provided the stable core needed for all future innovation.. Our mission was to build a durable, scalable, and intelligent foundation that would become a key strategic asset for the company.
A complete rebuild of their iOS and Android apps. The new apps deliver a seamless, intuitive, and highly reliable user experience, ensuring that the technology feels as safe and trustworthy as the clinical science behind it.
We engineered the AI infrastructure capable of orchestrating multiple machine learning models in real-time. A core component of this was the "Brain Studio," a custom module that empowers the Happypillar team to trace, monitor, train, and evaluate their AI models for quality and efficacy.
We replaced Happypillar's fragmented tools with a single, unified system. This central nervous system for the business includes:
The new platform was delivered in six months, fundamentally transforming Happypillar's business and technical capabilities.
The new architecture can seamlessly handle a tenfold increase in active users
Eliminated countless hours of manual work
With a clean, modular codebase and the "Brain Studio," the product team can now ship new features and deploy new AI models with confidence and speed.
The new, consumer-grade platform became a key strategic asset, demonstrating technical mastery and readiness for scale.
I've been in deep tech for 15 years, and Singular is in a different league. They rebuilt our mobile app and re-architected the backend as a unified operating system connecting our business intelligence, content, and AI workflows. Their precision and technical mastery were world-class—I almost want to gatekeep them for ourselves.
