Technology Practices
Discover our Practices that power revenue velocity by stripping away business friction.
Product Engineering and CX
We design, develop, and deploy innovative, scalable, and secure products that meet market demands. Our rigorous process involves transforming visionary ideas into market-ready solutions that provide exceptional value.
DevOps
We leverage the core principles of DevOps, such as collaboration, automation, monitoring, and feedback, to remove inefficiencies across the software delivery lifecycle. By doing so, we help enterprises improve product quality and customer experiences.
Cloud
Our DevOps-driven cloud practice is designed to build your cloud infrastructure the right way. We focus on reducing deployment times, increasing operational efficiencies, and enhancing your business's agility.
GenAI
Recognizing the complexities of GenAI adoption, we've launched the "Relevance Lab AI Compass Framework". This structured model guides customers in defining early focus areas for AI solutions, ensuring a secure and effective implementation.
AIOps
Uses AI, machine learning, and big data to automate IT operations, enhancing performance and reliability. It proactively detects and resolves issues, minimizes downtime, and strategically optimizes systems.
Research Computing
It is a pivotal technical practice that pushes the boundaries of scientific inquiry and innovation, harnessing the power of high-performance computing (HPC), data analytics, and sophisticated simulation tools ensuring projects are completed with greater speed, accuracy, and innovation.
Data Engineering
Our Data Engineering practice supports the backbone of data integrity and accessibility, crucial for data science and business intelligence, transforming raw data into a valuable asset for actionable insights and driving sustained business growth.
AI/ML/Analytics
Our tailored approach leverages AI and ML to automate decisions, minimize errors, and reveal critical insights, providing a real-time analytical capability.
Intelligent Automation
Leverages the power of artificial intelligence (AI), machine learning (ML), and process automation technologies to not only perform routine tasks but to also make complex decisions, learn from outcomes, and optimize workflows.