Wavo Health

Founder · Vancouver, Canada

Built an ambient AI medical scribe available on web, iOS, and Android, powered by a real-time database for seamless cross-device sync. Fine-tuned LLMs for clinical documentation across 80+ specialties — transcription, structured notes, ICD-10/CPT coding, and an AI clinical assistant. HIPAA/PIPEDA compliant with end-to-end encryption.

wavo.health

The Story Behind Wavo

In 2022, I was diagnosed with an autoimmune disease. What followed was a long journey through the healthcare system, visiting rheumatologists, immunologists, and other specialists across multiple clinics. Every new appointment meant repeating my full history from scratch. Lab results, imaging, medication changes, what the last doctor said. I had to remember it all and relay it accurately each time.

I started recording my appointments on my phone just to keep track. Then I began using early LLM models from OpenAI to summarize the recordings so I could share structured notes with the next specialist. It worked surprisingly well.

After a few months of doing this manually, I decided to build a small web application for myself in September 2023. Before building it properly, I explored multiple early iterations in Figma and turned a simple internal workflow into a usable product I could pull up during appointments. My rheumatologist noticed me using it one day, and that sparked genuine interest.

Before it became Wavo, the project was briefly called Docto. The name Wavo had stayed with me from an earlier startup with friends, and I had held onto the domain for years as part of a broader health idea I had been exploring since university.

Wavo went through several iterations before it became a true MVP. I tested early versions with my dad, a gynecologist in Mexico, and with my rheumatologist, which pushed me to make it work well in both English and Spanish. They helped shape what was clinically useful and how the output needed to improve. As the product got better, I started sharing it more broadly because it was clearly saving people time.

I kept the product free and fully functional from late 2023 through 2024. Microsoft for Startups had given me OpenAI and Azure grants, which gave me room both to experiment while I was building and to leave the product running for free afterward. By early 2024, I had moved into another professional role and stopped actively developing it, but I left it online in a largely passive state and did not pay much attention to it through most of that year. That phase included the early demo below.

Even so, the product quietly kept gaining attention. More medical professionals started using it on their own, and the traction only became clear later, when it was obvious the product had found real organic pull. What I had treated as a side experiment was starting to show signs of a genuine need, and that is what ultimately gave Wavo Health a life beyond the original MVP.

What I Built

Architected cross-platform solution with full feature parity across web (Next.js/TypeScript) and mobile (React Native/Expo for iOS/Android), unified by a shared real-time backend enabling local-first sync, seamless data consistency, and real-time capabilities.
Engineered core features including ambient AI scribing with live transcription and speaker attribution, structured SOAP/progress notes, specialty-specific smart templates (e.g., Rheumatology, Pediatrics, Cardiology), real-time dictation during consultations, encounter tracking, and an AI Clinical Assistant delivering instant evidence-based guidance on medications, billing codes, patient history, and clinical questions.
Implemented self-learning AI that automatically adapts note style, wording, and clinical relevance from user edits, evolving accuracy and personalization over time.
Fine-tuned LLMs to achieve higher note accuracy and clinical relevance via user feedback loops, self-learning mechanisms, and iterative optimization.
Owned full stack lifecycle: Figma prototyping → production deployment, compliance audits, and rapid iteration as solo founder.

Go-to-Market

Grew user base entirely through organic traction — no paid marketing spend.
Designed and iterated on landing pages to clearly communicate value to clinicians and convert visitors into sign-ups.
Built a conversion funnel from sign-up to first paid subscription, tracked with PostHog analytics and iterative A/B testing to reduce drop-off at each step.
Engineered a fast time-to-first-value onboarding flow (first SOAP note in under 1 minute) so new users experienced the product's core value immediately.
Created an onboarding checklist guiding users through key features (templates, specialty packs, AI assistant) to drive activation and retention.
Designed in-app upgrade prompts and usage-based nudges to convert free users into paying subscribers.

Platform Capabilities

Real-time/ambient transcription with speaker labeling
Structured data extraction (medications, diagnoses, symptoms)
Customizable templates with specialty packs for 80+ specialties
AI Clinical Assistant ("Ask Wavo") for evidence-based answers
Patient dashboard with encounter history, metrics, and continuity of care
ICD-10 and CPT billing code suggestions
Self-learning AI that adapts to your writing style over time
File attachments for labs, imaging reports, and referral letters
Native iOS and Android apps with offline support
HIPAA and PIPEDA compliant with AES-256-GCM end-to-end encryption