Achieve digital transformation with UniServe™ NXT Digital Suite
UniServe™ NXT adapts beautifully to change. Experiment continuously with business processes, optimizing them throughout the entire application development cycle – without recoding.
We ensure that business, IT and operations departments share a common set of goals and metrics. This facilitates transparency and encourages frequent communication between teams.
We built UniServe™ NXT on a human-by-exception design philosophy. Automated programs complete as much work as possible, lightening employee workload.
UniServe™ NXT places priority squarely on real-world business outcomes, leveraging the entire IT value chain – development, testing, operations, and security – to do so efficiently. Our platform empowers stakeholders to perform wide-ranging tasks without relying on intervention from IT operations services.
Our comprehensive Digital Suite offers application development and deployment services built on modular architecture. This helps large enterprises improve business agility. Create UIs, define workflows, create data models, configure APIs and re-use pre-built components without writing a single line of code.Read Infographic
Data connection is quickly replacing data consolidation in the world of digital business solutions. Traditional ETL technologies and stand-alone data warehouses can't keep up with users' needs. The best way to ensure relevant, timely and complete data integration is through virtualization. UniServe™ NXT combines new and existing data sources effortlessly using built-in data connectors, adapters, coordinators, and translators.Read Data sheet
Tiny data is of extreme importance to business processes. This is the type of data technicians collect when they need to know something useful about their work process. This data informs technical actions and improves business processes. It allows businesses to deliver contextual experience to customers, and enables analysis of data with a limited shelf life. UniServe™ NXT uses these small pieces of information to produce insights on big data, helping enterprises build experiences that appeal to customers' natural behaviors and desires.