SignalPET® Tech Stack

AI-powered X-ray interpretation platform for veterinary practices

Veterinary Services Dallas, Texas 51–200 employees Founded 2018 Privately Held

SignalPET delivers automated radiograph analysis to veterinary clinics using machine learning and specialist validation. The stack—PostgreSQL, AWS, SageMaker, Python, React—reflects a production ML operation at scale; internal pain points around validating AI-generated reports and improving radiograph accuracy suggest active refinement of core model performance. Hiring velocity is accelerating across engineering and healthcare (likely clinical validation), with senior-level roles dominating, indicating a company scaling from MVP toward enterprise deployment.

Tech Stack 14 technologies

Core StackPostgreSQL AWS HubSpot TypeScript React Node.js MySQL Docker Kubernetes SageMaker Python PHP Microsoft Office Remix

What SignalPET® Is Building

◆Challenges

Analyzing database for opportunities
Identifying new business opportunities
Validating ai-generated reports
Improving automated radiograph accuracy

▲Active Projects

Quality control and system enhancement projects
Core model training and inference infrastructure
Ml ops system architecture for 100+ vision models
Automated monitoring for production data flows

Hiring Activity

Accelerating15 roles · 7 in 30d

Department

Healthcare

Engineering

Sales

Seniority

Senior

Mid

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About SignalPET®

SignalPET is a veterinary AI platform that interprets X-rays and provides radiological reporting to veterinary practitioners. Founded in 2018 and based in Dallas, the company combines machine learning models with expert radiologist review to deliver faster, more affordable diagnostic support than traditional teleradiology services. The product is positioned to enable general practitioners to read their own films with AI-assisted confidence. The company operates with 51–200 employees and is hiring across engineering, sales, and clinical validation roles in five countries.

HeadquartersDallas, Texas

Company Size51–200 employees

Founded2018

Hiring MarketsSouth Africa, Israel, Brazil, United States, Bulgaria

Frequently Asked Questions

What technology does SignalPET use?

PostgreSQL, AWS, SageMaker, Python, React, Node.js, Kubernetes, Docker, TypeScript, and MySQL. The stack supports ML model training, inference at scale, and a web-based practitioner interface.

What is SignalPET working on?

Core projects include ML ops architecture for 100+ vision models, automated monitoring for production data flows, core model training and inference infrastructure, and quality control improvements to enhance radiograph interpretation accuracy.