Beyond the hype - Adopt Generative AI in Enterprises
We move you from 'Gen AI Experimentation' to 'Enterprise-Grade Production.' Balance radical innovation with guardrails, policies, governance and and FinOps-driven architecture.
We move you from 'Gen AI Experimentation' to 'Enterprise-Grade Production.' Balance radical innovation with guardrails, policies, governance and and FinOps-driven architecture.
Develop comprehensive Gen AI strategies aligned with your business objectives, including use case identification, technology selection, and implementation roadmaps.
Evaluate your organization's readiness for Gen AI adoption, assessing technical capabilities, data maturity, and organizational alignment.
Build autonomous AI agents that can perform complex tasks, make decisions, and interact with systems with minimal human intervention.
Learn More →Design scalable and secure Gen AI architectures tailored to your enterprise requirements and integration needs.
Develop and deploy generative AI applications, from large language models to custom AI solutions for your specific use cases.
Implement ethical AI practices, bias detection, fairness frameworks, and governance structures to ensure responsible AI deployment.
Implement comprehensive security measures, threat detection, and risk mitigation strategies for AI systems and data protection.
Manage, monitor, and optimize large language models and AI agents in production, ensuring performance, reliability, and cost efficiency.
Learn More →Leverage AI to accelerate software development, from code generation and testing to documentation and optimization.
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Leverage Amazon Bedrock to build and scale generative AI applications with access to leading foundation models from Amazon, Anthropic, AI21 Labs, Cohere, Meta, Stability AI, and more. Our expertise includes model selection, RAG implementation, fine-tuning, and deployment of production-ready Gen AI solutions on AWS infrastructure.
Implement comprehensive Gen AI solutions using Microsoft AI Foundry, including Azure OpenAI Service, Azure AI Studio, and Copilot frameworks. Build enterprise-grade AI applications, custom copilots, and integrated AI experiences that seamlessly work with Microsoft 365 and Azure ecosystems.
Build and deploy machine learning models and Gen AI applications on Google Cloud Platform. Our experience spans Vertex AI Model Garden, custom model training, AutoML capabilities, and integration with Google's Gemini models for enterprise AI solutions with advanced MLOps and governance.
Develop sophisticated agentic AI applications using LangChain and LangGraph frameworks for orchestration, tool integration, and multi-agent systems. We create intelligent workflows, RAG pipelines, and autonomous agents that can reason, plan, and execute complex business processes with human-like capabilities.
Integrate OpenAI's GPT models, embeddings, and fine-tuning APIs to create intelligent applications. Our expertise includes prompt engineering, function calling, assistant APIs, and building custom solutions using OpenAI's advanced language models for various enterprise use cases including content generation, analysis, and automation.
Utilize Hugging Face's model hub and transformers library to access thousands of pre-trained models, fine-tune custom solutions, and deploy production-ready AI applications. Our experience includes model selection, fine-tuning, evaluation, and deployment across cloud and on-premises environments.
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
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Placeholder text describing Agentic AI capabilities and solutions. This section showcases our expertise in autonomous AI agents and intelligent automation systems.
