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Regal Automation Platform

Plano, United States (US) · Information Technology

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Verified by Enterprise League

Data quality

Complete · Accuracy

Last verified

May 2026

Regal Automation Platform is a Information Technology company based in Plano, United States (US), with 10-20 employees. Regal Automation Platform's profile is verified on Enterprise League.

Overview

Regal Automation Platform is a Plano, Texas-based provider of robust Test Automation Orchestration Platform solutions. We empower organizations to deliver high-quality, battle-ready software through streamlined testing processes.

Regal for Containers and Cloud (RCC) offers a comprehensive approach to testing, encompassing Integration Testing, Load Testing, Solution Testing, Performance Testing, Stability Testing, Chaos Testing, and more. It seamlessly integrates with existing tools and test cases, supporting diverse environments and deployment models, including Kubernetes, Cloud, and Hybrid Cloud.

Our flagship product, Regal, leverages AI/ML for real-time analytics and centralized monitoring, providing valuable insights into your product’s performance. Regal’s agnosticism and ease of integration with CI/CD ecosystems ensure a cohesive and efficient Software Development Life Cycle (SDLC). With a team of over 200 engineers, Telaverge is dedicated to innovation and delivering cutting-edge digital solutions.
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Contact Details

sales@regalautomation.com

Plano, United States (US), 8229 Fountain Ridge

Company Type

Private Limited Company

Employees

10-20

Categories

Web Development
Developer Tools
Software

Awards

2026 OpenSee all

Services

Default Product Image
Regal for Containers and Cloud (RCC)
Software

Regal for Containers and Cloud (RCC) is a robust Test Automation Orchestration Platform. It offers a whole new approach to testing by streamlining and optimising the process. DevOps/Microservice models today are more mature to take on the continuous activities of software testing. Test Automation Orchestration is key to improving quality, reducing cost, improving time-to-market, and getting better visibility through analytics using AI/ML.

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