AI-Led Quality Engineering and Assurance Services

Accelerate your go-to-market timeline with top-notch quality assurance (QA) and automated, functional, and manual tests for all scenarios.

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Trusted by Leading
Industry Clients Globally

Join our esteemed clients who rely on innovative technology solutions to drive their success and growth.

75+ Certified Quality Engineers With Experience In

Diverse Skillsets in Industry-standard tools and technologies for rigorous QA process specialized in designing comprehensive test cases to ensure high-quality software products

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Comprehensive Testing and Security Audits

AI-Led Automated Testing

At Entrans, AI drives our automation efforts! Our team of quality engineers thoroughly test your automation systems for both maintenance and execution. Using tools like Selenium, Playwright, TestComplete, and Cucumber, we develop and improve automation testing frameworks.Whether it’s continuous integration pipelines, mobile testing, or cloud-based test automation, we’ll simplify your testing process and how bugs are fixed in your workflows.

Manual Testing

At Entrans, our quality experts conduct manual testing for all platforms. Although we develop automated testing frameworks, we also specialize in functional and manual regression tests, as well as, smoke testing, and sanity testing. By systematically testing your product through positive, negative, and edge-case scenarios, we make sure of complete coverage for optimal functionality.

Cloud Based Testing

When it comes to cloud-based testing. We have both automated and manual frameworks for testing to support CI/CD pipelines to help you deal with product launches and updates without significant issues.
Our team has extensive experience in testing cloud platforms like AWS, Microsoft Azure, and Google Cloud, through load testing, unit testing, and functional testing. Additionally, Entrans also takes care of integration testing and stress testing to make sure that your cloud ecosystem functions smoothly.

Product Testing

At Entrans, we manage everything from capacity planning to shift left testing and performance benchmarking. Underperformance can easily result in lost revenue. By simulating real-world use cases, we help identify potential vulnerabilities and optimize your product for reliable performance at scale.Using tools like TFS, Bitbucket pipeline, and Jenkins, at Entrans we also run tests simultaneously on multiple devices to speed up your timeframe for updates and product launches.

Non-Functional and Performance Testing

At Entrans, our non-functional and performance testing services ensure your system can handle real-world demands. Utilizing tools like Apache JMeter, LoadRunner, and Gatling, we test for load, stress, and scalability. We analyze response times, throughput, and resource utilization, to optimize performance under different conditions. While doing this, we also ensure resilience and reliability across platforms.

Continuous Testing

Through DevOps pipeline automation and continuous quality monitoring - we implement continuous testing during development, integration, and even deployment. At Entrans, we also manage smoke testing sanity testing, regression testing, and automation testing utilizing scripts for agile and bug-free operations. While bugs are an inevitable part of development, we help you identify them swiftly with automated, functional, unit, and end-to-end tests.

Leverage our team of certified engineering consultants and cloud infrastructure engineers.

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Get the Entrans Advantage

Operational Excellence

Cloud-Based Infrastructure and Security Audits

Guarantee seamless service with no interruptions. Maintain continuous availability at all times.

Expert Talent Management

Ensure uninterrupted service and continuous availability.

Security & Data Protection

Advanced Encryption

Asymmetric encryption with SHA 7 & Ed25519 Signature Suite; symmetric encryption with AES 256 and 512.

Compliance

Adherence to SOC-2 standards and ongoing efforts for organization-wide certification.

Technology Frameworks

Microservices & Containerization

Utilize our expertise in microservices architecture and containerization for scalable and resilient applications.

Database Migration

Seamless migration of databases with minimal disruption.

Case Studies

Performance Analysis for a Smart Healthcare Platform

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Client Overview: A leading provider of post-acute healthcare facilities, focusing on qualified, engaged, and reliable nursing professionals.
Highlight: Achieved zero downtime and uninterrupted user experience, ensuring continuous service delivery.

Performance Optimization for a Job-Market Platform

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Client Overview: An AI-powered skilling suite helping enterprises unlock business potential through organization-wide skilling.
Highlight: Realized significant savings in time, effort, and infrastructure costs, enhancing operational efficiency.

Performance Analysis for a Digital Health Company

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Client Overview: A leading digital health company committed to streamlining pharmacy operations. Focused on enhancing clarity & efficiency in the process.
Highlight: Cut transaction response times to under 1 second, boosting user satisfaction and system performance.
"Entrans has transformed our QA processes, ensuring our applications are reliable and secure. Their expertise in test automation and performance testing is unmatched."
-Nikolay Prokopiev

FAQs for Quality Engineering Services

What is QA as a service?

QAaaS, or Quality Assurance as a Service, is an outsourcing model where a third-party vendor provides testing services to ensure the quality of a product or service. It's like hiring a team of quality experts on demand, without the need to build an in-house QA team.

What’s the difference between quality engineering and quality assurance?

When differentiating between quality engineering and quality assurance, quality engineering emphasizes proactive testing, automation tools like Selenium and Jenkins, and CI/CD pipelines. Quality assurance, on the other hand, focuses on final-stage validation using platforms such as TestRail and Zephyr.

What is quality engineering for machine learning?

When it comes to quality engineering for machine learning, the platforms we use aim to optimize model validation, data integrity, and performance. That said, we rely on TensorFlow, PyTorch, MLflow, and Kubeflow for testing and monitoring model accuracy and scalability.