Petcare Mobile Application

See how we helped a leading pet tech company launch a tele-vet platform and near-instant computer vision analysis that cuts manual image review and elevates remote care for pets.

Background

Client: established in 2015 as a startup, our client has rapidly evolved to become a prominent leader in the Israeli pet tech industry.

Goal: to introduce a remote veterinary service and build an image analysis neural network.

Industry: Pet tech

Geography: Seattle, the U.S.

Team Size: 2+

Duration: August 2022 — June 2023

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Industry:

Pet tech

Location:

US

Services Used :

AI & Machine Learning

Cloud, DevOps & Infrastructure Services

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Solutions

Tele-Vet MVP & Platform: Tronix delivered a secure remote veterinary service with intake/triage, scheduling, and case records, plus media capture for pet images/videos to feed automated analysis.
Computer Vision Model Suite: Built instance-segmentation and imbalanced-regression models (class-imbalance handling, targeted augmentation, calibration). Evaluated Mask R-CNN/YOLO-seg variants to maximize accuracy and robustness.
Real-Time Inference Optimization: Deployed models via ONNX/TensorRT with quantization and caching to achieve near-instant analysis; enabled offline/edge compatibility for mobile devices used by vets and customers.
CV API & Workflow Automation: Exposed a REST/gRPC API with async processing, webhooks, and structured findings. Auto-generated case summaries and flags reduced manual image review time for staff.

‍Result
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Reduced image analysis time

Built a robust neural network, capable of almost-instant image analysis.

Computer vision-powered API

Delivered a computer vision-powered API that incorporated the trained instance segmentation and imbalanced regression models.

Automation of manual work

After releasing an image recognition model, the time client’s employees spent on manual image processing was reduced significantly.

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