WideStone is a certified cloud partner and AI-first system integrator helping enterprises design, migrate, and optimise their cloud infrastructure — infused with the intelligence of modern AI. Visit us at widest.one.
As a certified cloud partner, we deliver fully managed solutions across every major service category — designed for scale, security, and resilience.
End-to-end lift-and-shift, re-platforming, and re-architecture of legacy workloads to AWS. We assess, plan, and execute with zero-downtime strategies.
Provision and manage AWS infrastructure using Terraform, CloudFormation, and AWS CDK — enabling repeatable, version-controlled environments at scale.
AWS Security Hub, GuardDuty, IAM policies, and compliance frameworks (SOC 2, ISO 27001, PDPA) baked into every architecture we deliver.
Design and deploy data lakes, data warehouses, and real-time streaming pipelines using Amazon Redshift, Glue, Kinesis, and Athena.
Accelerate delivery with AWS CodePipeline, CodeBuild, GitHub Actions, and containerised workloads on Amazon EKS and ECS Fargate.
Round-the-clock monitoring, incident response, patching, and cost optimisation using AWS Managed Services and custom runbooks.
Reduce cloud spend by up to 40% with Reserved Instance planning, Savings Plans, rightsizing, and AWS Cost Explorer dashboards.
Design resilient multi-region VPC architectures, Direct Connect links, Transit Gateways, and secure hybrid cloud connectivity to on-prem systems.
Build scalable event-driven applications with AWS Lambda, API Gateway, Step Functions, and SQS/SNS — pay only for what you use.
We go beyond cloud infrastructure — embedding AI at the core of your business processes to drive real, measurable outcomes.
We design and deploy production-ready Generative AI platforms on Amazon Bedrock, fully integrated with your existing AWS environment. From RAG pipelines to fine-tuned foundation models, we make GenAI work at enterprise scale.
Replace manual, repetitive processes with intelligent agents. Document ingestion, approval workflows, intelligent routing, and decision support — all automated and auditable.
Use Amazon SageMaker to train, deploy, and monitor custom ML models for demand forecasting, churn prediction, fraud detection, and anomaly detection on your AWS data estate.
Deploy conversational AI on Amazon Lex and Connect, powered by LLMs. Support customers 24/7 with context-aware responses, seamless handoff to humans, and full CRM integration.
Automate visual inspection, document OCR, facial recognition, and video analytics using Amazon Rekognition and custom vision models deployed on AWS infrastructure.
Consolidate, clean, and enrich your data on AWS to make it AI-ready. We build vector databases, semantic search layers, and data pipelines purpose-built for LLM and ML consumption.
Embed AI coding assistants, automated incident triage, root-cause analysis, and runbook generation into your DevOps workflows — reducing MTTR and accelerating sprint velocity.
A proven four-phase engagement model from discovery to ongoing optimisation.
We audit your current infrastructure, workloads, and data landscape to identify cloud and AI opportunities.
Our certified AWS architects design a well-architected, cost-optimised solution with a clear roadmap and milestones.
Agile sprints with continuous testing, security checks, and stakeholder visibility at every step of implementation.
Ongoing managed services, performance tuning, AI model improvement, and quarterly strategic reviews.
Our solutions are adapted to the regulatory, operational, and data realities of your sector.
Whether you’re starting your cloud journey, accelerating AI adoption, or optimising an existing AWS environment — we’re here to help.