Home / Projects / Evie & PawHealthAI Production AI Platform
Evie & PawHealthAI Production AI Platform
Evie & PawHealthAI Production AI Platform is a project by Akash Renuka Ashok (Co-Founder and CTO). Pet-care platform building the longitudinal care layer between vet visits, combining conversational AI, structured triage, weekly check-ins, reminders and a persistent pet record.
- Role
- Co-Founder and CTO
- Category
- PawHealthAI
- Stack
- React Native 0.81 (Expo SDK 54), React, Vite & Tailwind CSS, TypeScript & Node.js, Firebase Cloud Functions (Gen 2), Supabase PostgreSQL (RLS), Google Gen AI SDK (Gemini 2.5 Flash), RevenueCat, Sentry
The problem
Between vet visits, pet owners are left to judge on their own whether a symptom is urgent and to remember what happened and when. That leads to stress, delayed care or unnecessary escalation, and leaves vets with an incomplete history.
What Akash owned
Own end-to-end technical execution including architecture, AI integration, frontend and backend development, and production deployment across web and mobile platforms.
Highlights
- Designed and built a pet-care platform with 189 registered users as of October 2026; Australia is the primary market, and registrations do not measure active usage
- Architected Evie across conversational support, structured symptom triage, weekly wellness check-ins and the Pawport longitudinal pet record
- Designed non-diagnostic safety controls: concern classification, deterministic emergency escalation, medication guardrails, prompt-injection checks, post-generation sanitisation and hard constraints against diagnosis or prescription
- Cut pet-history retrieval time from ~700ms to ~100ms, measured in development, by running independent database requests concurrently instead of sequentially
- Secured distribution through Beny, an employee-benefits platform with 32,000 eligible members, with member distribution confirmed through CopCare (13,000+ members) and a 70-handler cohort onboarding with Working Paws Australia
- Built a dedicated KPMG employee pet-care benefit offer; completed the SMEC AI Accelerator and MEC Discover
- Shipped Notification System V2, combining device-local scheduling with server-sent contextual push
Outcome
Launched and operate a production platform that gives pet owners clearer guidance and next steps between vet visits, backed by non-diagnostic safety controls and a persistent pet record.
Links
- About PawHealthAI
- Case study: PawHealthAI: product design and engineering
- Case study: Redesigning PawHealthAI after launch
- Case study: PawHealthAI onboarding evolution
- Visit PawHealthAI
More work by Akash Renuka Ashok:
Last updated