Modernization is no longer optional
The AI era demands more than legacy systems can deliver. Real-time insights, intelligent automation, conversational analytics, and integration with AI agents are no longer futuristic features — they’ve become essential. These aren’t just trending upgrades — they’re the new standards for competitiveness, responsiveness, and growth.
Fortunately, a new generation of AI-powered tools has made deep modernization projects both feasible and fast. Cloud migration, application re-architecture, microservices transformation, code transcription, containerization, and data unification are no longer multi-year undertakings — they’re within reach.
Ship new features in a day, not weeks.
We embed an AI-powered SDLC into your upgraded systems for continuous, reliable delivery.
UX Modernization & OpenAI Marketplace
Upgrade user experiences and extend your apps to the OpenAI Marketplace to reach millions of users through AI-native distribution.
Microservices & Code Transcription
Re-architect monoliths and translate legacy codebases into modern Node.js, Python, or .NET microservices.
Containerization & Kubernetes Move
Migrate workloads to AWS or Azure and adopt Kubernetes (EKS, AKS, or self-managed) for scalable, cost-optimized operations.
Data Unification & Real-Time Pipelines
Integrate data from multiple sources into unified Data Lakes with AI-powered ETL and pipelines to enable real-time analytics and conversational BI.
AI Agents Adoption
Embed AI agents across workflows and applications to automate processes, enhance collaboration, and accelerate innovation.
AI-Powered SDLC Automation
Transform your software lifecycle to deliver new features in a day, not weeks — powered by AI-driven testing, CI/CD, and code generation.
Common Challenges We Solve
Legacy Monoliths
Tightly coupled apps block feature delivery and scale poorly.
Non-Containerized Apps
Legacy runtimes prevent a move to Kubernetes and cloud-native scalability.
Outdated Codebases
Aging code written in unsupported languages or by unavailable teams.
Fragmented Architecture
Modularity gaps make API, AI agent, and new feature integration hard.
Too-Long Release Cycles
Manual builds and brittle tests slow down delivery.
Disconnected Dev Toolchains
Post-M&A platforms lack unified CI/CD, repos, and deployments.
Cloud Readiness Gaps
Infrastructure not optimized for AWS/Azure-native services or Kubernetes adoption.
No Data Access Layer
Inability to query across structured and unstructured data from apps.
Security & Compliance Gaps
Legacy controls block integration with AI services and control planes.
AI Integration Barriers
Core systems can’t support GPT-powered extensions or autonomous agents.
High Operating Costs
Inefficient platforms and redundant toolchains drive expenses.
Recognize some items from the list?
You are not alone. Executives acknowledge the modernization gap across AI readiness, leadership alignment, and infrastructure maturity.
86%
Of IT executives say they need tech stack upgrades to support AI agents. It’s not just about new features; it’s about the foundation — and most organizations know they’re not ready
77%
Of CEOs say AI defines the next era for their business—signaling a decisive shift from experimentation to enterprise-wide transformation.
44%
Consider their IT infrastructure is AI-ready and their own CIOs “AI-savvy” — a clear sign many organizations recognize the gap between ambition and capability
CloudGeometry Process:
Your Modernization Roadmap — Engineered for Speed
Thanks to AI-powered tools, many of the most complex, time-consuming parts of application modernization can now be automated or accelerated. Here’s how we do it.
Assess & Align
Every engagement starts with your goals — whether it's AI agent integration, Cloud and Kubernetes Upgrade or AI Powered SDLC adoption. We analyze your existing application stack — including architecture, codebase, deployment model, and data flow — to determine how far it can scale, how fast it can evolve, and how well it supports AI-driven features.
When your current systems can be extended, we optimize them. Where they fall short, we identify modernization priorities — from code refactoring and containerization to hybrid cloud adoption and intelligent automation.
AI-Powered Accelerators
Legacy Code Analyzer
Flags outdated patterns and AI-integration blockers.
Cloud Readiness Scorecard
Benchmarks infrastructure gaps across AWS/Azure.
Risk Map Generator
Prioritizes technical debt, cost, and compliance exposure.
Design the Modern Target State
We define the optimal future architecture — from modular app design and GPT integrations to scalable infrastructure, unified data layers, and secure AI interfaces.
AI-Powered Accelerators
Pattern Recommender
Suggests proven modernization blueprints.
Cost Model Simulator
Models cloud vs on-prem trade-offs.
Compliance Scanner
Maps target state to industry and regional policies.
Refactor, Transcribe & Modularize
We rewrite and repackage legacy code into maintainable, modern services using current frameworks and languages (Node.js, Python, .NET, etc.).
AI-Powered Accelerators
Code Transcriber
Converts legacy logic into target-language microservices.
Dependency Mapper
Identifies and isolates tightly coupled modules.
Testing Copilot
Auto-generates test coverage during refactoring.
Containerize & Platformize
We deploy applications into containerized environments and integrate them with Kubernetes (EKS, AKS, or DIY), DevOps pipelines, and observability tools.
AI-Powered Accelerators
Container Blueprint Generator
Builds Docker and Helm templates.
Scaling Advisor
Recommends autoscaling and HPA settings.
CI/CD Optimizer
Aligns pipelines to repo and team structure.
Unify Data & Enable Intelligence
We consolidate app data into unified lakes and AI-ready pipelines to support real-time analytics, conversational BI, and intelligent app features.
AI-Powered Accelerators
Pipeline Builder
Creates AI-powered ETL/ELT flows.
Schema Drift Monitor
Detects changes across evolving datasets.
Conversational Layer Engine
Enables natural-language access for BI and AI agents.
Accelerate Delivery with AI-SDLC
We implement an AI-powered software delivery lifecycle so your teams can ship features faster, safer, and continuously — including GPT agent extensions.
AI-Powered Accelerators
Release Bot
Automates branching and rollout strategy.
Coverage Assistant
Fills test gaps for safety and velocity.
Change Intelligence Monitor
Detects regression risks before merge.
Why CloudGeometry
Modern application modernization demands deep engineering, cloud-native architecture, and AI-first delivery — all grounded in experience.
Full-Stack Modernization Expertise — Evolved Over a Decade
10+ years transforming aging systems, startup-quality apps, and post-M&A stacks...
Full-Stack Modernization Expertise — Evolved Over a Decade
10+ years transforming aging systems, startup-quality apps, and post-M&A stacks...
We’ve spent over 10 years transforming aging systems, startup-quality applications, and post-M&A systems into resilient, enterprise-grade platforms. Whether it’s scaling early-stage code or reviving critical apps abandoned by former dev teams, we modernize what matters — from UI to infrastructure and beyond.
Cloud-Native & Multi-Cloud Architecture Mastery
Design and operate platforms across AWS, Azure, and hybrid environments...
Cloud-Native & Multi-Cloud Architecture Mastery
Design and operate platforms across AWS, Azure, and hybrid environments...
We design application platforms that run securely and reliably across AWS, Azure, and hybrid environments — with Kubernetes, containerization, and zero vendor lock-in baked in.
AI-Driven Acceleration with an AI-Powered SDLC
Automation from code transcription to testing, CI/CD, and delivery analytics...
AI-Driven Acceleration with an AI-Powered SDLC
Automation from code transcription to testing, CI/CD, and delivery analytics...
Our AI-powered SDLC transforms how modernization gets done — automating code transcription, test coverage, CI/CD, rollout orchestration, and delivery analytics.
Proven Partner Ecosystem & Open Source Foundation
CNCF and Linux Foundation AI & Data participation, plus top hyperscaler partners...
Proven Partner Ecosystem & Open Source Foundation
CNCF and Linux Foundation AI & Data participation, plus top hyperscaler partners...
As members of the CNCF and Linux Foundation AI & Data committee, we stay on the cutting edge of open-source innovation — while partnering with top hyperscalers, tool vendors, and AI ecosystems.
Trusted by Platform-Powered Companies
Sinclair, Symphony, TetraScience, GeminiHealth and more rely on CloudGeometry...
Trusted by Platform-Powered Companies
Sinclair, Symphony, TetraScience, GeminiHealth and more rely on CloudGeometry...
Companies like Sinclair, Symphony, TetraScience, and GH rely on CloudGeometry not just to modernize their internal stacks — but to deliver scalable, AI-ready application platforms for their customers.
Easier to Achieve—with CloudGeometry
Let’s talk about what’s next for your data and your business.
Our Application Modernization Blogs & Insights
Business Guide to Modernization
Technology Solutions
Cloud Modernization Beyond Migration
Strategic Debt vs. Stupid Debt: Prioritization
Migrating VMware to the Cloud
14 Cloud Migration Mistakes to Avoid
Can you afford not to Modernize?
Microservices & Modernization for Healthcare
Cost Optimization from VMware to Kubernetes
Fintech Modernizes to Cloud Native
Frequently Asked Questions
Common questions about our application modernization services and approach.
Can you modernize without rewriting everything?
Yes. We favor incremental modernization — selectively refactoring, extracting services, and containerizing where it delivers the most value while preserving proven components.
Which clouds and runtimes do you support?
We work across AWS and Azure with Kubernetes (EKS, AKS, or self-managed), modern languages (Node.js, .NET, Python), and supporting services throughout the SDLC.
How do you reduce time-to-value?
AI-powered accelerators handle analysis, code transcription, testing, and CI/CD automation so we can deliver measurable improvements within the first cycles.
What about data unification and conversational BI?
Our roadmap includes unifying app data into AI-ready pipelines and enabling natural-language analytics so business users get real-time, trusted insight.
How do you ensure security and compliance?
Security and governance are embedded from day one — access controls, lineage, audit, and policy enforcement across environments and services.
