Stop Paying Engineers to Maintain the Past
Your team loses a third of every sprint to legacy code. Modernization hands that time back to shipping features.
Your monolith has not shipped a feature in weeks, and your best engineers are stuck maintaining code nobody wants to touch. We break legacy applications into cloud native services, clear the technical debt, and leave you an estate you can add AI to. Releases go from a nervous event to a daily habit.
Your team loses a third of every sprint to legacy code. Modernization hands that time back to shipping features.
Microservices and automated pipelines turn risky deployments into daily releases with no downtime.
Right sizing to containers and serverless drops infrastructure cost by 40 to 60 percent, visible in month one.
A modern, decoupled application is where AI features and automation can actually be added. Legacy blocks both.
An assessment scores every app on business value, dependencies, and tech debt, with AI speeding the analysis, so the right app goes first.
Each workload gets the right strategy based on cost, dependencies, and value. No politics, no guesswork.
Proven patterns like Strangler Fig extract services one at a time, with no downtime and automatic rollback.
Move to containers and fully automated pipelines, so the manual steps that cause most incidents disappear.
The database moves in parallel, so you are not left with a legacy store under a modern app.
Tracing and smart alerting mean your team wakes for real incidents, not noise.
Monolith to microservices, serverless APIs, event driven architecture, modern stacks.
Managed and open source databases, purpose built stores, real time streaming.
DevSecOps in the pipeline, short lived credentials, data masking, compliance controls.
Infrastructure as code, auto scaling, self healing, central observability.
Works across the major clouds. AWS shown as our primary practice.
EKS, ECS Fargate, Lambda, API Gateway.
CodePipeline, GitHub Actions, ArgoCD, Terraform, SAST and DAST toolchains.
RDS, Aurora, DynamoDB, Kinesis.
Bedrock and SageMaker, for teams adding intelligence on top of modernized apps.
Legacy loan systems blocking scale. Microservices and managed databases enabled weekly releases and full uptime through audits.
A monolith policy platform capped growth. Containerized services turned a three week cycle into daily deploys and supported ten times the applications.
A scaling ceiling forced downtime on every release. Refactoring and blue green pipelines scaled daily users from 15M to 51M with no visible outage.
Analytics could not keep pace. Full modernization to containers and a lakehouse delivered an AI ready stack in under 60 days.
A tightly coupled policy monolith rebuilt into containerized microservices, with daily deployments and IRDAI compliance built into the architecture.
Refactored for scale with blue green pipelines. Daily active users grew from 15M to 51M with no forced downtime.
Managed databases and modern DevSecOps, with KYC automated using AI on Bedrock, cutting onboarding time by 80 percent.
A modern app on a legacy database is only half done. Modernize the data layer to finish the job.
Now Modernize Your DatabaseWith apps decoupled, add analytics, automation, and AI on top.
Explore Data & AIWho owns it at 3am? Around the clock ops keeps the modern estate healthy.
Explore Managed Services