MLOps offers a set of practices that combine machine learning, DevOps, and data engineering. It will help you automate deployment, monitoring, and management of machine learning models for your business. You can also scale your ML models efficiently while reducing operational risks in your ML implementation.

Our expertise spans industries such as finance, healthcare, technology, retail, and more. Our QA expertise extends to mobile applications, enterprise software, IoT ecosystems, blockchain marketplaces, and beyond.

Zymr provides flexible engagement models tailored to meet different project needs. These include QA outsourcing, QA consulting, managed testing services, one-time testing, quality assessment, and testing as a service. Each engagement model is designed to address specific testing requirements and accommodate varying project scopes and complexities.

Our security testing involves deep analysis of your software's defenses using tools like OWASP ZAP and Burp Suite. We identify vulnerabilities such as SQL injection and cross-site scripting, ensuring that your application remains resilient against current and emerging security threats.

At Zymr, our experts believe in actively involving testing processes from the project start to drive and accelerate the delivery of high-quality software. This approach helps us reduce the Go-to-market time by 60% while optimizing the costs by 40%.

We follow industry best practices such as crafting a holistic test strategy encompassing test approach, testing types, tools, and risk analysis. Our approach ensures  high test coverage and balanced automation and manual testing efforts optimal results.

Our QA team ensures thorough testing coverage by applying equivalence partitioning, boundary value analysis, cause/effect analysis, bottleneck/issue assumption, and more.

Our testing services lifecycle encompasses planning, design, implementation, stabilization, and delivery stages. This includes activities such as project documentation review, test plan creation, test cases design, automated testing implementation, test execution, defects reporting, regression testing, acceptance testing, and final tests results reporting. Our QA testers engage at early stages of product development to ensure comprehensive quality assurance throughout the project.

For API testing, we use tools like Postman or REST Assured to validate data flows, endpoint reliability, and performance under load. Rigorous API testing confirms that endpoints are not only functional but also optimized, secure, and capable of handling real-world demands.