Vetium
IoT monitoring for veterinary clinics
How we built an intelligent monitoring system for hospitalized animals using modern AI tools and a no-code-first build approach.
TallWell / University of Hradec Králové
VetTech / Healthcare
4 weeks
Research
The Problem
Night rounds for hospitalized animals are demanding and time-consuming. Veterinarians and nurses must physically check patients every 30-60 minutes. There is a lack of continuous monitoring and early detection of complications.
Pain Points
- Time-consuming manual checks
- No continuous monitoring
- Delayed complication detection
- Staff fatigue during night shifts
Key Features
- Continuous vital signs monitoring
- Real-time remote monitoring
- Automatic alerting
- Historical data for analysis
The Solution
Smart mat that continuously measures vital signs (breathing, heart rate, movement). Data is sent to an app where staff monitors remotely. The system automatically alerts veterinarians when conditions change.
Implementation
We used Lovable for rapid frontend development and Edge Functions for backend logic. With AI-assisted delivery, we compressed MVP build time from months to weeks.
What we built
- Product landing page
- Multi-step questionnaire for veterinary clinics
- Questionnaire for pet insurance companies
- Email campaigns for partner outreach
- Edge functions for bulk email sending
What works today
- Data collection from clinics via questionnaires
- Automatic data sending via email
- Product web presentation
- Communication with potential partners
Next steps
- Pilot testing at selected clinics
- Partnership with insurers for risk scoring
- Database integration for data storage
- Hardware prototype development
Tech Stack
Results
Why it matters
Vetium shows how AI tooling and modern delivery practices can dramatically reduce time-to-market—even for specialized B2B products. It’s a concrete example of our vibe-coding approach in production.
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