Native App Launch to 50K Users in 8 Weeks
Helix Biotech
What They Were Facing
Helix researchers were drowning in proprietary datasets scattered across 8 different tools. They needed a single mobile and desktop interface where scientists could query their own experimental data in natural language, from anywhere, on any device.
How We Solved It
We built native iOS and Android applications with an embedded AI layer that lets researchers query proprietary datasets using natural language. The AI understands domain-specific terminology, experimental protocols, and can cross-reference results across studies. A companion desktop application provides full analytical capabilities.
Phase by Phase
Discovery & Design
Spent 2 weeks embedded with the research team understanding workflows, data structures, and pain points. Designed mobile-first UX optimized for lab environments.
AI Layer Development
Built the natural language query engine fine-tuned on biotech terminology. Connected to 8 data sources with a unified API layer.
Native App Build
Developed native iOS (Swift) and Android (Kotlin) applications. Built companion desktop app (Electron) with expanded visualization and export capabilities.
Launch & Adoption
Phased rollout across 3 research campuses. In-app onboarding, weekly office hours, and continuous iteration based on researcher feedback.
The Numbers
Client Testimonial
“Our researchers can now query 5 years of experimental data by just asking a question on their phone. It has fundamentally changed how we do science. The speed of delivery was remarkable.”
VP of Research, Helix Biotech
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