Applications nobody wants to touch
Core business logic sits in legacy applications and mainframes that few people understand, so every change is slow, risky and expensive.
Cloud & Modernization
Cloud migration and modernization for the systems your business cannot afford to break.
Legacy applications, aging infrastructure and unplanned cloud bills slow every initiative you fund. We migrate, modernize and run your platform so it stops being the bottleneck.
- Cloud & Modernization Assessment
- 3 to 5 weeks
- Migration Wave
- 8 to 16 weeks per wave
- Application Modernization Program
- 3 to 12 months
- Managed Cloud Services
- Monthly
Scope, timeline and deliverables agreed before work starts.
The problem
What legacy systems cost you
Cloud bills with no owner
Infrastructure grew by accident. Idle resources, oversized instances and forgotten environments add up, and nobody can explain the invoice.
Security and compliance gaps
Access controls, logging and encryption were configured once and never reviewed. An audit or a customer security review exposes what was missed.
Not ready for AI
Data is locked in systems with no APIs, no event streams and no documentation, so AI initiatives cannot reach it without months of groundwork.
What we do
Six cloud and modernization services.
Our cloud services cover cloud strategy and migration to AWS, Microsoft Azure and Google Cloud, legacy application modernization, DevSecOps and platform engineering, cloud security and compliance, FinOps cost optimization and managed cloud operations.
Cloud Strategy & Migration
Assessment, target architecture, business case and phased migration of workloads to AWS, Azure or Google Cloud, with the cutover planned around your business calendar.
Good fit when
A data center contract is ending, infrastructure is aging, or cloud adoption has been ad hoc and needs a plan.
What you get
Talk to us about this
Workloads running in the cloud with documented architecture, runbooks and a cost baseline.
What is included
- Application portfolio assessment and dependency mapping
- Business case and target architecture on AWS, Microsoft Azure or Google Cloud
- Secure landing zone with identity, networking and guardrails
- Migration in waves, with testing and rollback plans
- Cutover planned around your business calendar
Application Modernization
Legacy applications and mainframe workloads refactored, re-platformed or rebuilt as modern services, with APIs that let the rest of your business and your AI tools reach them.
Good fit when
Core systems are hard to change, the people who understand them are leaving, or they block the AI and data work you want to do.
What you get
Talk to us about this
A modernized application delivered in phases, while the business keeps running on it.
What is included
- AI-assisted analysis to map legacy code, dependencies and undocumented business rules
- A decision for each application: rehost, replatform, refactor, replace or retire
- Legacy and mainframe workloads rebuilt in phases as modern services
- APIs and events that open up the data to the rest of the business
- Automated tests to prove the new system behaves like the old one
DevSecOps & Platform Engineering
Infrastructure as code, CI/CD pipelines, container platforms and internal developer tooling so teams ship safely many times a week instead of once a quarter.
Good fit when
Releases are infrequent and risky, every team builds its own pipeline, or developers wait days for environments.
What you get
Talk to us about this
A platform that lets teams ship safely many times a week, with security checks they do not have to think about.
What is included
- Infrastructure as code with Terraform and similar tools
- CI/CD pipelines with security and compliance checks built in
- Kubernetes and container platforms
- An internal developer platform with ready-made, approved paths for new services
- Observability: logs, metrics, traces and alerting
Cloud Security & Compliance
Identity and access design, network controls, encryption, logging and continuous compliance monitoring aligned to SOC 2, HIPAA, PCI DSS and the frameworks your customers require.
Good fit when
An audit or a customer security review is coming, or your cloud grew faster than its security controls.
What you get
Talk to us about this
A secured cloud environment, a list of gaps closed and remaining, and evidence your auditors can use.
What is included
- Identity and access design with least privilege
- Network controls, encryption and secrets management
- Central logging, threat detection and incident response runbooks
- Compliance as code and continuous monitoring aligned to SOC 2, HIPAA, PCI DSS and ISO 27001
- Evidence collection that supports your audits
Cloud FinOps & Cost Optimization
Visibility into what you spend and why, rightsizing, reserved capacity planning, and cost allocation so every team owns its share of the bill.
Good fit when
The cloud bill keeps rising and nobody can explain it, or AI spending is growing without a way to measure its return.
What you get
Talk to us about this
A clear view of what you spend and why, a list of savings with owners, and controls that keep costs in check.
What is included
- Cost visibility by team, product and environment through tagging and allocation
- Rightsizing, scheduling and removal of idle resources
- Commitment planning: savings plans and reserved capacity
- Cost tracking for AI workloads: model calls, tokens and GPU time
- Budgets, alerts and cost estimates before changes are deployed
Managed Cloud Services
Continuous monitoring and alerting, patching, backup, incident response and ongoing improvement of your cloud platform under a monthly agreement, with response times defined in that agreement.
Good fit when
Your team is too small to run the platform and build on it at the same time.
What you get
Talk to us about this
We operate your cloud under a monthly agreement, with a named engineer and response times defined in that agreement.
What is included
- Continuous monitoring and alerting
- Patching, backup and recovery testing
- Incident response
- Security and cost reviews
- Monthly operations and cost report
How we work
AI-assisted modernization, AI-ready outcomes
We use AI code analysis to map legacy codebases, surface dependencies and document business rules that were never written down, and we use AI-assisted translation and test generation to accelerate migration work that used to take quarters. The target is a platform where data is accessible through APIs and events, so the AI initiatives you fund next do not stall at the integration layer.
- AI code analysis to map and document legacy systems
- Migration and refactoring accelerated with AI tooling, verified by engineers
- APIs and event streams that make data reachable for AI
- Governance, logging and identity designed for AI workloads
Engagements
Ways to start, with a clear end.
Every engagement has a defined scope, duration and deliverables before work begins.
How long each engagement usually runs
ShortestLongestOngoing, monthly
Cloud & Modernization Assessment3 to 5 weeks
Migration Wave8 to 16 weeks per wave
Application Modernization Program3 to 12 months
Managed Cloud ServicesMonthly
03 mo6 mo9 mo12 mo
Cloud & Modernization Assessment
Deliverables
Application portfolio inventory, dependency map, modernization roadmap by workload, target architecture and business case.
Migration Wave
Deliverables
A defined group of workloads migrated, tested and cut over, with landing zone, security baseline and runbooks.
Application Modernization Program
Deliverables
Legacy application decomposed into modern services in phases, with APIs, automated tests, pipelines and documentation.
Managed Cloud Services
Deliverables
Monitoring, patching, backup, incident response, FinOps review and a monthly operations and cost report.
Technology
Cloud platforms and tools we use.
Platform-neutral. We choose based on your stack, cost and compliance needs.
AWS
Azure
Google Cloud
Kubernetes
Terraform
Docker
GitHub Actions
Azure DevOps
Datadog
Java
.NET
Postgres
Industries
Industries we modernize.
Financial Services & InsuranceCore system modernization in phases, not big-bang rewrites
Healthcare & Life SciencesHIPAA-aligned cloud landing zones with encryption, logging and access controls
Retail & Consumer GoodsReplatforming legacy e-commerce to scalable cloud architectures
Software & High-TechPlatform engineering and CI/CD for faster, safer releases
ManufacturingIndustrial data platforms for time-series, quality and maintenance data
Logistics & Supply ChainModernization of legacy TMS and WMS applications
Insights
All insights Related insights
Cloud & Modernization
The 7 Rs of cloud migration: how to choose for each application
Retire, retain, rehost, relocate, repurchase, replatform or refactor: what each of the 7 Rs means, and a practical order for deciding which one fits each application you run.
Nov 12, 20266 min read
Financial ServicesCore system modernization for banks and insurers: the options
Replace the core, replace it piece by piece, or wrap it and move functions out over time. A look at the three options, the risks of each and how to…
Nov 12, 20266 min read
Cloud & ModernizationFinOps for AI: how to see and control AI and cloud costs
AI bills arrive through model APIs, cloud services, SaaS add-ons and GPUs. Here is how to see the spend, give it an owner, measure cost per outcome and set guardrails…
Nov 12, 20265 min read
Questions
Frequently asked questions
Do we have to move everything at once?
No. We migrate in waves, starting with workloads that are low risk and high value, and we leave systems in place when the business case for moving them is weak.
Can you modernize a mainframe or very old application?
Yes. We use AI-assisted code analysis to map the application and its data flows, then modernize it in phases, exposing functions through APIs so the business keeps running throughout.
How do you keep cloud costs under control after migration?
FinOps is built into every engagement: tagging and cost allocation from day one, rightsizing reviews, reserved capacity planning and a monthly cost report with actions.
Which clouds do you support?
AWS, Microsoft Azure and Google Cloud. We recommend based on your existing licensing, team skills, data residency needs and the services your workloads depend on.
What does managed cloud include?
Monitoring and alerting, patching, backup and recovery testing, incident response with response times defined in your agreement, security reviews, cost optimization and a named engineer who knows your environment.
Tell us what you are trying to build.
A 30-minute call is usually enough to know whether we are the right fit. We reply within one business day.