Smarter, Faster, AI-First Application Services

Accelerate Innovation with Intelligent, Scalable Applications

overview

Today, the digital landscape is rapidly evolving with changing consumer demands and the need to adapt to future-ready technologies. Thus, companies must develop intelligent and resilient applications to keep pace with this changing landscape. Infinite understands this need and combines deep domain expertise, cloud-native architecture, and AI-driven automation to assist clients with their application development and integration requirements. The focus is clearly on scalability, extensibility, reliability, and, most importantly, driving meaningful business outcomes.

Experts in development, maintenance, and support

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Certified professionals across TOGAF, PMP, ITIL, and more

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Applications transformed

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SLA compliance

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Our Offerings

Application Development

Architecture and Design

Quality Engineering and Assurance

Product Engineering

DevSecOps

System Integrations

Application Development

Architecture and Design

Quality Engineering and Assurance

Product Engineering

DevSecOps

System Integrations

Our Capabilities

Enterprise Architecture

Design scalable, modular systems with microservices and cloud-native architecture. Tools like Jenkins and Selenium enable automation while ensuring governance with standardized platforms such as JIRA, Confluence, and Blueworks.

Design & Modelling

Apply domain-driven design principles using service catalogs, orchestration patterns, and abstraction techniques. Enable intelligent application design through Machine Learning (ML) or Natural Language Processing (NLP) feasibility analysis, reusable component design, and automatic code generation (iCDM).

Implementation & Testing

Use Infinite's three-in-a-box model to implement and transition tasks collaboratively. Automate builds and deployments with code review frameworks and version control to manage rapid changes.

Application Support

Deliver 24/7 production support through an SLA-based delivery model, leveraging the shift left model to optimize resource allocation. Automate key processes such as KEDB, SOPs, alert management, and batch cycle reporting. Monitor release management closely within a shared services framework for infrastructure and testing.