Cloud Solutions & AWS AI Services

Our AWS-Centric Cloud Strategy

Our cloud strategy is built around delivering future-ready, cost-optimized architectures on AWS, from greenfield
cloud-native systems to legacy modernization and multi-layered AI transformation.

Whether you're starting small or scaling AI across the enterprise, we design for agility,governance, and measurable ROI.

Core Cloud Solutions

Current-state infrastructure & workload assessment
Cloud-native re-platforming: containerization, microservices, decoupled storage
TCO modeling & migration strategy:
- o Right-sizing compute/storage (EC2, S3, EBS)
- Cost simulation using AWS Pricing Calculator and TCO Calculator
- Savings Plans, Reserved Instances, and spot instances
Multi-account structure, landing zones, and security-first blueprints

Build event-driven microservices (Lambda, ECS, EKS)
RESTful & GraphQL APIs (API Gateway, AppSync)
End-to-end CI/CD with CodePipeline, CodeBuild, CloudFormation
Scalable pipelines for ingestion, transformation, and orchestration

Data Platform Engineering

Modern data lake/lakehouse creation using S3, Redshift, Glue, Lake Formation
Serverless querying and log analytics using Athena, OpenSearch

Machine Learning & Deep Learning

Full-lifecycle AI/ML development on Amazon SageMaker
Hyperparameter tuning, model training, monitoring, and shadow deployment
Managed feature stores and pipeline automation

MLOps & LLMOps

MLOps: Model versioning, lineage, CI/CD integration, A/B testing, and rollbackusing SageMaker Pipelines, MLflow, or Vertex Pipelines
LLMOps: RAG architecture, prompt tuning, fine-tuning pipelines, LLM versioncontrol, secure token management, and feedback loop integration
Monitoring for bias, drift, hallucination, and LLM grounding with AWS-native observability and third-party integrations

Generative & Agentic AI

Integration with Amazon Bedrock: Support for Claude, Titan, Jurassic, and StabilityAI models
Deployment of open-source LLMs (LLaMA, Mistral, Falcon) on SageMaker, EKS,or EC2
Enable Agentic AI for intelligent task automation across data pipelines, documentworkflows, and customer service

IAM role-based access controls and multi-factor authentication
VPC security design, traffic inspection, and encryption
Threat detection using GuardDuty, Inspector, and CloudTrail
Policy management and automated compliance via Config, Macie

Cost visibility using AWS Budgets, Cost Explorer, Trusted Advisor
Reserved Instances vs. On-Demand planning based on utilization metrics
Savings plan modeling for steady-state workloads
Auto-scaling configuration for dynamic load handling
TCO Dashboards with usage trends, ROI calculations, and optimization recommendations

24x7 DevOps & CloudOps support with automated alerts
Infrastructure as Code (IaC) using CloudFormation, Terraform
SLA-based managed services for data platforms and ML pipelines
Ongoing model maintenance, drift detection, retraining, and support

We enable AWS-first strategies that integrate with on-premise, Azure, and GCP ecosystemsusing service mesh architectures and platform-agnostic DevSecOps pipelines for full workloadportability and governance.

Case Studies

Featured Success Stories

Performance Analysis & Tool Selection: MapR DB vs. Mongo DB for Secure Data Mart Design

200% Improvement in Query Performance

Optimized Data Ingestion and ETL Design

Improved SLA for Bulk Requests

Efficient Tool Selection and Architecture Design

Automated Placeholder Document Creation for Digitization of Pharma Templates

95% Reduction in Manual Effort

90–95% Accuracy in Placeholder Text Replacement

Drastic Time Reduction

Significant Cost Savings

A Banking Big Data & Analytics Platform with 24x7 Support

100–300% improvement in query performance

USD 15M+ ROI in Phase 1 of implementation

10+ AI/ML use cases delivered across key functions

99.6% SLA achieved with 24x7 infrastructure support

Enterprise Data Lake and Analytics implementation for a large Pharmaceutical Company in India on AWS platform

30–40% Reduction in IT Costs

Accelerated Analytics with 3X Faster Reporting

AI/ML-Ready Infrastructure

Manual Work Reduction

Data, Process , Batch jobs and Work flow migration to Hadoop Platform

40% Reduction in IT Infrastructure Costs

60% Improvement in Data Processing Speeds

4X Scalability Boost

70% Reduction in Downtime

See More Success Stories

Delivering Scalable, Secure, and High-Performance Cloud Architectures on AWS and Beyond

Our AWS-Centric Cloud Strategy