Digital Engineering | Testingxperts

Digital Engineering

Development Done Right for Digital Acceleration

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Accelerate Business Transformation with Digital Engineering

AI-driven, data-centric, and integrated enterprise workflows are foundational in today’s digital-first landscape. As businesses embrace next-gen digital transformation, they encounter new opportunities alongside increasing complexity. Tx stands as a trusted partner, helping enterprises navigate these challenges and achieve their transformation goals with confidence. Our approach is rooted in engineering excellence, with a strong emphasis on security, scalability, and data governance.

Our digital engineering services enhance your digital presence by providing applications, cloud, data, and AI solutions and adopting innovative technologies, including Agentic AI, LLMs, IBM AS400, Cloud, DevSecOps, and AIOps. Whether the challenge is development, integration, or maintenance, Tx delivers quality solutions for higher operational efficiency and future-ready digital systems.

Accelerate Business Transformation with Digital Engineering

Our Key Clients

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Digital Engineering Services We Offer

AI Services

AI Services

We deliver E2E AI System Engineering, including RAG, CAG, and GenAI apps, to build intelligent systems that enhance productivity and UX, ensuring responsible AI.

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Application Services

Application Services

Our digital engineering transforms how you build and scale technology by modernizing applications like IBM AS400, using APIs, microservices, containers, and Kubernetes.

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Cloud Services

Cloud Services

We leverage public, private, and hybrid cloud models to deliver tailored solutions that align with your business goals for building a scalable digital foundation.

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DevOps - digital engineering

DevOps

We help enterprises deliver reliable software releases with our proprietary framework, RAPADIT (Rapid Application Development with predefined time-testing frameworks).

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Data Engineering

Data Engineering

Our specialization in data synthesis and collection, predictive modeling, and machine learning helps you transform complex datasets into clear, actionable insights.

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Intelligent Solutions

Intelligent Solutions

We implement intelligent solutions (AI, ML, and RPA) in your infrastructure to automate workflows, improve customer engagement, and address development bottlenecks.

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Technology
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Get a Consultation

  • Speak directly to our Digital Engineering Directors.

  • Get solutions tailored to your unique development challenges.

  • Identify AI-driven development opportunities and build a roadmap for success.



    Testimonial

    Everyone on the project team was extremely satisfied with the support you and your team provided. The TestingXperts team has been thorough, professional and flexible throughout our largest project of this type to date. We would definitely consider engaging TestingXperts in the future to help us with our QA/QC needs.

    Glenn Shampanka
    Glenn Shapanka
    Program Applications Systems Manager Wounded Warrior Project

    Know More about
    Digital Engineering Services
    Talk to an Expert

    What challenges do enterprises face in modernizing legacy digital systems?

    Companies have a hard time with architectures that are too tightly coupled, tech stacks that are too old, data silos, security concerns, and a lot of technical debt. These issues make it tougher to add new features to the cloud, AI, and automation, which slows down progress. They also make upkeep more expensive.

    How can digital engineering accelerate time-to-market for new applications?

    Digital engineering speeds up delivery by leveraging modern practices:

    • Reusable components for faster development
    • Cloud-native and scalable architectures
    • DevOps automation for continuous testing and deployment
    • Parallel workflows for multi-team productivity
    • Rapid feature release without compromising quality
    What are the key benefits of adopting a digital engineering-led transformation?

    Companies can be more flexible, save money, improve customer experience, and speed up innovation with a digital engineering-led approach. It also makes platforms that are ready for the future and can handle AI, analytics, and ongoing modernization on a large scale.

    How does digital engineering improve the scalability and performance of applications?

    Digital engineering uses intelligent monitoring, microservices, cloud elasticity, and performance engineering. This allows apps to expand and shrink as needed, handle peak loads effectively, utilize resources efficiently, and stay current with user demands.

    How can digital engineering integrate seamlessly with existing enterprise systems?

    Digital engineering utilizes API-led integration, middleware, data pipelines, and progressive modernization to seamlessly connect old and new systems without issues. This makes sure that business activities keep going while also allowing for small changes that are in line with the aims of the enterprise architecture.