Technical architecture
A modern, scalable stack – designed for safety and precision.
- AI model
- Fine-tuned LLM (GPT-4 class) with a RAG pipeline connected to a veterinary knowledge base and drug data.
- Image analysis
- CNN models trained on dermatological and clinical image data for dogs, cats and small animals.
- Backend
- Node.js / Python FastAPI, containerised via Docker. EU region, GDPR-compliant.
- Mobile frontend
- React Native for iOS and Android. Offline mode for basic guidance without internet.
- Data security
- End-to-end encryption, anonymisation of health data, GDPR. ISO 27001 planned.
- Responsible AI
- A veterinary expert council reviews AI answers continuously. Clear limitations on every reply.
Market
USD 3.4 bn – and growing 18% per year.
The global digital pet health market was valued at USD 3.4 billion in 2024 and is expected to grow at an 18% CAGR through 2030. Sweden has around 4.5 million pets across 1.3 million households.
4,5Mpets in Sweden
18%annual growth (CAGR) to 2030
600–1200 kraverage cost per vet visit