Pets B4 Profit
AI-Powered Veterinary Cost Transparency Platform for Pet Owners
At a Glance
CLIENT
Pets B4 Profit
INDUSTRY
Pet Healthcare
PLATFORMS
iOS, Android, Web
REGION
United States
PRODUCT TYPE
Mobile Application + AI Platform
ENGAGEMENT
Discovery → Design → Development → Support
USERS
Pet Owners, Platform Administrators
STATUS
Live in Production
The Challenge
- Veterinary billing lacked transparency for pet owners.
- Medical invoices were difficult for non-clinical users to understand.
- Pet owners had no independent benchmark for treatment pricing.
- Financial uncertainty caused some owners to delay treatment decisions.
- Veterinary records were fragmented across multiple providers and systems.
- Ethical veterinary practices were difficult to identify and verify.
- Existing tools focused on clinics rather than on helping owners make informed decisions.
- Any AI recommendations carried healthcare implications and required governance mechanisms from day one.
- The challenge was not replacing veterinary advice.
- The challenge was reducing information asymmetry between clinics and pet owners.
What Had
to Be Solved
- The project started with five non-negotiable requirements:
- Translate veterinary invoices into a language pet owners could understand.
- Provide AI-assisted cost analysis without replacing veterinary judgement.
- Support invoice scanning without requiring manual data entry.
- Create a centralized medical record system for pets.
- Build trust into every recommendation and provider listing.
Product
Several early decisions shaped the entire platform.
Human-in-the-Loop AI Review
Healthcare recommendations require accountability.
AI-generated cost analysis reports could not operate as unsupervised outputs.
Administrative oversight of recommendation quality became part of the product architecture.
OCR as the Primary Input Method
Most users interact with the product immediately after receiving a paper invoice or PDF estimate.
Typing medical line items manually would have created unnecessary friction.
Invoice scanning became the default workflow.
Moderated Veterinary Directory
Trust depends on governance.
The Vet Check directory was designed as an actively moderated ecosystem rather than an open listing platform.
Empathy-First User Experience
Many users arrive during emotionally stressful situations involving sick pets and unexpected expenses.
Every workflow was designed for users operating under pressure rather than ideal conditions.
The Solution
- The final product shipped as two connected systems.
- Mobile Application
- Used by pet owners.
- Capabilities included:
- OCR invoice scanning
- AI-powered veterinary bill analysis
- Cost breakdown explanations
- Market price benchmarking
- Pet medical record management
- Treatment history tracking
- Ethical clinic discovery
- Subscription management
Administration Platform
- Used by platform operators.
- Capabilities included:
- AI output review and moderation
- Vet directory governance
- User management
- Subscription analytics
- Content management
- Platform reporting
Technology Decisions
Every layer of a KMP build, from shared business logic to platform integration, runs on tools chosen for production reliability. Ktor, SQLDelight, Koin, and Compose Multiplatform form the mobile app tech stack that makes scale possible without compromise.
React Native
OpenAI APIs
Document Recognition Engine
Node.js APIs
RevenueCat
JWT
Cloud Deployment
React Dashboard
Outcomes
AI-Powered Veterinary Cost Analysis
Pet owners gained independent visibility into treatment costs before making financial decisions.
OCR-Based Invoice Processing
Paper invoices and digital estimates became actionable with a single scan.
Centralized Medical Records
Owners could maintain healthcare history across multiple clinics and providers.
Ethical Provider Discovery
The Vet Check directory introduced a trusted mechanism for finding values-aligned clinics.
Platform Running in Active Production
The system is currently supporting real users and live veterinary cost evaluations.