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Aniva (prev. LivyHealth)Healthcare / CLIENT STORY

From AI-generated prototype to reliable health OS

Inside the story
140+Biomarkers analyzed per customer
4 monthsDuration of each personalized health plan
1 appUnified experience from blood draw to ongoing coaching
THE SHORT STORY

Aniva is a German healthtech platform that turns traditional healthcare into proactive, personalized self-care. It offers a deep diagnostic blood test covering 140+ biomarkers and delivers a tailored 4-month plan with supplements, nutrition, and lifestyle guidance — all managed within a single app that tracks biological age and evolving health insights.

CLIENT
Aniva (prev. LivyHealth)
INDUSTRY
Healthcare
DURATION
4 months
THE TEAM
1x Delivery Lead, 1x Full Stack Engineer
01 / Aniva (prev. LivyHealth)

The challenge.

  • A heavily AI-generated codebase that was chaotic, difficult to maintain, and not production ready.
  • A broken payment system with unreliable flows and many unhandled edge cases.
  • High user drop-off due to a confusing onboarding journey and poor UX.
  • Partially implemented integration with the critical Ornament API, limiting lab result synchronization and analytics.
02 / Aniva (prev. LivyHealth)

Our approach.

  • Conducted a full codebase audit to identify unstable, AI-generated components and hidden coupling.
  • Systematically refactored and restructured the application to create clear, maintainable modules.
  • Redesigned the payment architecture with robust error handling, better security, and support for multiple payment models.
  • Reimagined onboarding UX with fewer steps, real-time validation, and contextual tooltips to guide the user.
  • Completed and hardened the Ornament API integration for reliable lab-result handling.
03 / Aniva (prev. LivyHealth)

What we built.

  • Delivered a modular Next.js frontend with dedicated flows for onboarding, user dashboards, and admin features.
  • Implemented Next.js API routes for authentication, lab results, webhooks (Stripe, Ornament, Cal.com) and chat features.
  • Used PostgreSQL + Prisma and Supabase for structured health data and secure user management.
  • Integrated Stripe, LIMS, Ornament, Gleap, and PostHog to power payments, lab logistics, feedback, and analytics.
04 / Aniva (prev. LivyHealth)

The impact.

  • Transformed a fragile prototype into a robust health management system ready for real users.
  • Achieved a streamlined onboarding experience with significantly reduced user drop-off.
  • Delivered a stable payment infrastructure handling subscriptions and one-time purchases.
  • Established a maintainable, refactored codebase that supports future growth and rapid feature development.
BEHIND THE BUILD

The technology.

  • Next.JS
  • React
  • PostgreSQL
  • Prisma ORM
  • Supabase
  • Stripe
  • LIMS integration
  • Ornament API
  • PostHog
  • Gleap
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