We go beyond coding, striving for continuous improvement to ensure our clients can always count on us. That is why some of our clients have been with us for over 20 years.
Our team of IT experts provides continuous support, maintenance, and optimization of software applications throughout their lifecycle. From bug fixing and system monitoring to updates, upgrades, performance enhancements, and addressing user issues, we manage every aspect of application management, ensuring that even complex software applications run smoothly and efficiently.
Our DevOps team has fully automated the software release process for our client, covering everything from build to deployment. By implementing CI/CD practices, we significantly reduce the time from development to delivery, empowering our clients to respond swiftly to their customers’ needs.
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In cooperation with Intens, the client redesigned and developed a suite of SaaS applications to better support its core business operations. The previous applications were monolithic client-server web applications that, over time, became outdated, difficult to maintain, and unable to scale with the client’s business growth. Intens was tasked with transforming these legacy systems into modern, cloud-native solutions with a state-of-the-art user experience.
Automated QA provides fast, consistent testing, reducing human error and improving accuracy. It’s cost-effective in the long run, especially for repetitive and regression testing, and integrates well into CI/CD pipelines for continuous feedback. This approach helps our clients accelerate development, enhance software quality, and scale testing efficiently.
Manual testing is valuable because it brings a human perspective, allowing testers to evaluate usability, visual elements, and user experience. It is flexible, especially during early development stages, where requirements may change rapidly. Manual testers excel at handling complex scenarios and exploratory testing, uncovering issues that automated tools might miss, ensuring a thorough evaluation of the software's real-world functionality.
