AI For Pet offers TTcare, an AI-powered mobile application that analyzes images of pets' eyes and skin to detect early signs of diseases with 95% accuracy. This technology provides pet owners and veterinary professionals with immediate health insights, facilitating early intervention and improving overall pet healthcare accessibility.
Funding
$2.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Pet owners often struggle to detect early signs of disease in their pets due to the subtle nature of symptoms and the difficulty of frequent veterinary visits. Traditional diagnostic methods can be costly, time-consuming, and stressful for both pets and their owners, leading to delayed diagnoses and potentially poorer health outcomes.
Solution
AI For Pet offers TTcare, a mobile application that leverages artificial intelligence to analyze images of a pet's eyes, skin, and teeth, identifying potential health issues with high accuracy. By using a smartphone camera, pet owners can easily capture images and receive immediate AI-driven insights into their pet's health. The app's algorithms are trained on a vast dataset of veterinary-labeled images, ensuring reliable and evidence-based assessments. This technology facilitates early detection, proactive care, and informed decision-making, empowering pet owners to address health concerns promptly and improve their pet's overall well-being.
Target Audience
The primary target audience includes pet owners seeking convenient and proactive health monitoring for their pets, as well as veterinary professionals looking for AI-powered diagnostic tools to enhance their practice.
Features
- AI-powered image analysis for early detection of abnormalities in pet's eyes, skin, and teeth
- Real-time health insights and personalized recommendations based on AI assessment
- User-friendly mobile interface for easy image capture and analysis
- Extensive database of veterinary-labeled images for accurate AI training and performance
- Continuous learning and refinement of AI models with every new image processed
- Capability to detect common pet health issues with over 90% accuracy
- High specificity (95%) in identifying diseases and high sensitivity (93%) in detecting early-stage issues