Cloud is the new OS, cloud is omni present. Stop managing infrastructure. Start fueling innovation. We re-architect your legacy estate into an elastic, AI-ready foundation that kills technical debt and accelerates delivery.
Consult with us on Cloud
The evolution of cloud computing - where we've been, where we are, and where we're going
Develop comprehensive cloud strategies aligned with your business objectives and digital transformation goals.
Evaluate your current infrastructure and identify opportunities for cloud adoption and optimization.
Seamlessly migrate your applications and data to the cloud with minimal disruption to your business operations.
We transform your legacy systems to modern cloud-native architectures (microservices, API, serverless). We utilize AI tools and Agentic Mdoernization to reduce timeline, cut cost and improve your ROI.
Build and deploy cloud-native applications utilzing containers, PaaS services and modern architecture designed for scalability, reliability, and performance.
Implement automated infrastructure management and deployment pipelines for efficient cloud operations.
Optimize cloud costs and implement financial operations practices for better budget management and ROI.
Ensure reliable cloud operations with monitoring, management, and 24/7 support services.
Deploy and manage hybrid cloud environments combining public and private cloud infrastructure.
Manage and orchestrate workloads across multiple cloud providers for flexibility and resilience.
Design robust cloud architectures and integrate cloud services with existing enterprise systems.
Build and manage scalable AI infrastructure on the cloud to support machine learning and AI workloads.
Leverage the power of public cloud infrastructure from leading providers like AWS, Azure, and Google Cloud. Our public cloud solutions offer scalability, flexibility, and cost-effectiveness for your business needs.
Combine the best of public and private cloud environments with our hybrid cloud solutions. Seamlessly integrate on-premises infrastructure with cloud services for optimal performance and security.
Deploy cloud services across multiple locations while maintaining centralized control. Our distributed cloud approach brings computing power closer to your users and data sources.
Build dedicated cloud infrastructure tailored to your organization's specific requirements. Our private cloud solutions offer enhanced security, control, and customization.
Process data at the edge of your network for real-time insights and reduced latency. Our edge cloud solutions enable faster decision-making and improved user experiences.
Avoid vendor lock-in and optimize costs by leveraging multiple cloud providers. Our multi-cloud strategy ensures flexibility, resilience, and best-of-breed services.
Harness the power of AI and machine learning with specialized cloud infrastructure. Our AI cloud solutions provide the compute power and tools needed for advanced analytics and intelligent applications.
Comprehensive Amazon Web Services solutions including infrastructure, storage, compute, and managed services.
End-to-end Microsoft Azure and cloud services for enterprise applications and hybrid cloud deployments.
Leverage Google Cloud Platform for data analytics, AI/ML, and scalable infrastructure solutions.
Oracle Cloud Infrastructure services for enterprise applications, databases, and cloud infrastructure.
IBM Cloud solutions including hybrid cloud, AI, enterprise software, and infrastructure services.
VMware cloud solutions and services for virtualization, multi-cloud management, and software-defined infrastructure.
Client: UK-based Automobile and Home Insurer. 500,000 quotes a day, 4 million customers
Scope: Migration of Guidewire, Apps (100+), APIs, Microservices, Data, Infra and DevOps to Azure.
Europe's first successful modernization and migration of Guidewire to cloud (> 15 mil GBP)
Tech stack: Azure, Azure VMware Solution (AVS), APIM, Snowflake, Azure Data & Integration, Guidewire
Outcome: Increased performance by 1.6 times. 4 to 5 times faster insurance adjustments. Legacy-free IT estate, APIfication, automation, data modernization, and operational cost savings.
Client: Asia based health insurance and financial services major
Scope: Modernization and cloud migration of legacy and complex apps to Azure.
Apps: 20+
Lines of code: 2 million +
Technology: Azure, Java, .NET, Sybase, SQL Server, DB2, WebSphere MQ
Client: Middle east based petroleum and natural gas major
Scope: Define strategy & platform architecture for a new Joint venture organization that would be curved out from parent company
Focus Areas:
Deliverables:
Major cloud providers are designing custom AI chips to optimize performance and reduce costs. This vertical integration allows hyperscalers to offer specialized hardware for machine learning workloads, providing better price-performance ratios and reducing dependency on traditional chip manufacturers.
Sovereign cloud solutions are gaining momentum as organizations prioritize data residency and regulatory compliance. These specialized cloud environments ensure data remains within specific geographic boundaries while maintaining cloud benefits, addressing growing concerns about data sovereignty and national security requirements.
Hyperscalers are building specialized AI data centers with optimized infrastructure for machine learning workloads. These facilities feature advanced cooling systems, high-bandwidth networking, and custom hardware to support the massive computational demands of training and deploying AI models at scale.
AWS introduces new networking capabilities that simplify multicloud connectivity and management. These advancements enable seamless communication between different cloud providers, reducing complexity and improving performance for organizations operating across multiple cloud environments while maintaining security and compliance standards.
Microsoft Azure introduces Boost, a service designed to accelerate application performance and reduce operational complexity. This offering provides optimized configurations and automated tuning for common workloads, helping organizations achieve better performance without requiring deep technical expertise in cloud optimization.
Alternative cloud providers like DigitalOcean are gaining significant adoption, particularly among startups and SMBs. These providers offer simplified interfaces, competitive pricing, and developer-friendly experiences, challenging the dominance of traditional hyperscalers and providing more choice in the cloud marketplace.
Platform engineering teams are becoming essential for organizations seeking to improve developer productivity and operational efficiency. These internal platforms provide self-service capabilities, standardized workflows, and automated infrastructure management, enabling development teams to focus on building applications rather than managing infrastructure complexity.
Microsoft Azure launches comprehensive AI-powered services to accelerate cloud migration and modernization. These tools leverage artificial intelligence to analyze existing infrastructure, recommend optimal cloud architectures, and automate complex migration processes, significantly reducing the time and expertise required for successful cloud transformations.
Cloud providers are expanding their GitOps template libraries to simplify Kubernetes cluster management and application deployment. These templates provide standardized, best-practice configurations for common patterns, enabling teams to deploy and manage containerized applications more efficiently while maintaining consistency and security across environments.
Cloud providers are publishing comprehensive observability baseline guides to help organizations establish effective monitoring and alerting practices. These guides provide standardized metrics, logging patterns, and dashboard configurations to ensure teams can properly monitor their cloud resources and applications for optimal performance and reliability.