The latest articles on DEV Community by Ali (@silent1903). https://dev.to/silent1903 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3828561%2F676055fc-5d79-4f3f-acfb-a57b3f477d1d.png https://dev.to/silent1903 en Ali Tue, 17 Mar 2026 04:59:04 +0000 https://dev.to/silent1903/how-we-built-an-ai-powered-veterinary-clinic-management-saas-lessons-learned-after-50-clinics-1c5k https://dev.to/silent1903/how-we-built-an-ai-powered-veterinary-clinic-management-saas-lessons-learned-after-50-clinics-1c5k <p>Hey DEV Community 👋</p> <p>We're a small team from Istanbul, Turkey, and I wanted to share our journey building VetAgent — an AI-powered veterinary clinic management system that now serves 50+ clinics.</p> <p><strong>The Problem We Solved:</strong><br> 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.</p> <p><strong>What We Built:</strong></p> <ul> <li>Voice-to-SOAP Notes: Vets press a button, describe the visit, and AI generates structured clinical notes (Subjective, Objective, Assessment, Plan)</li> <li>Lab Device Integration: Direct connection to IDEXX, Fuji, and ASTM lab devices — results flow automatically into patient records</li> <li>30+ modules: Appointments, pharmacy, POS, invoicing, vaccinations, surgery planning, inventory — all in one platform</li> <li>Mobile app built with Flutter for on-the-go access</li> </ul> <p><strong>Tech Stack:</strong></p> <ul> <li>Backend: Laravel 11 + PostgreSQL</li> <li>Frontend: Next.js 15 + React 19</li> <li>Mobile: Flutter 3.x</li> <li>AI: OpenAI GPT-4 for clinical notes, custom RAG pipeline for drug interactions</li> <li>Deployment: Docker + Hetzner</li> </ul> <p><strong>Key Lessons:</strong></p> <ol> <li>Start with the workflow, not the AI. We spent months shadowing vets before writing a line of code.</li> <li>AI accuracy in medical contexts needs to be 99%+ or don't ship it. We use structured prompts + validation layers.</li> <li>Lab device integration was the hardest technical challenge — ASTM protocols are from the 1990s.</li> <li>Hardware integration (lab devices, printers, scales) is a massive moat.</li> <li>Turkish market first gave us fast iteration cycles before expanding globally.</li> </ol> <p><strong>Results:</strong></p> <ul> <li>50+ clinics onboarded</li> <li>~40% reduction in documentation time for vets</li> <li>98% client retention</li> </ul> <p>If you're building in healthtech/vettech or any regulated industry SaaS, happy to answer questions!</p> <p>Website: <a href="https://vetagent.io" rel="noopener noreferrer">vetagent.io</a> | Built by: <a href="https://benai.ai" rel="noopener noreferrer">benai.ai</a></p> ai saas softwaredevelopment startup