Hey DEV Community π
We're a small team from Istanbul, Turkey, and I wanted to share our journey building VetAgent β an AI-powered veterinary clinic management system that now serves 50+ clinics.
The Problem We Solved:
Veterinary clinics in Turkey (and most of the world) still use paper records or clunky legacy software from the 2000s. Vets spend 30-40% of their time on documentation instead of treating patients.
What We Built:
- Voice-to-SOAP Notes: Vets press a button, describe the visit, and AI generates structured clinical notes (Subjective, Objective, Assessment, Plan)
- Lab Device Integration: Direct connection to IDEXX, Fuji, and ASTM lab devices β results flow automatically into patient records
- 30+ modules: Appointments, pharmacy, POS, invoicing, vaccinations, surgery planning, inventory β all in one platform
- Mobile app built with Flutter for on-the-go access
Tech Stack:
- Backend: Laravel 11 + PostgreSQL
- Frontend: Next.js 15 + React 19
- Mobile: Flutter 3.x
- AI: OpenAI GPT-4 for clinical notes, custom RAG pipeline for drug interactions
- Deployment: Docker + Hetzner
Key Lessons:
- Start with the workflow, not the AI. We spent months shadowing vets before writing a line of code.
- AI accuracy in medical contexts needs to be 99%+ or don't ship it. We use structured prompts + validation layers.
- Lab device integration was the hardest technical challenge β ASTM protocols are from the 1990s.
- Hardware integration (lab devices, printers, scales) is a massive moat.
- Turkish market first gave us fast iteration cycles before expanding globally.
Results:
- 50+ clinics onboarded
- ~40% reduction in documentation time for vets
- 98% client retention
If you're building in healthtech/vettech or any regulated industry SaaS, happy to answer questions!
Website: vetagent.io | Built by: benai.ai
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