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.
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.
Frequently Asked Questions
Answers to common modernization challenges we solve.
How do you deal with Legacy Monoliths?
Tightly coupled apps block feature delivery and scale poorly. We incrementally extract services, add APIs, and decouple layers to restore velocity and scalability.
What if our apps are Non-Containerized?
Legacy runtimes prevent a move to Kubernetes and cloud-native scalability. We containerize workloads and align runtimes for EKS/AKS adoption.
How do you handle Outdated Codebases?
Aging code in unsupported languages or written by unavailable teams is modernized via targeted refactoring, language upgrades, and service extraction.
What if our architecture is Fragmented?
Modularity gaps make API, AI agent, and new feature integration hard. We define clear service boundaries, shared contracts, and integration patterns.
How can we fix Too-Long Release Cycles?
Manual builds and brittle tests slow down delivery. We implement CI/CD, test automation, and release management to shorten cycle times.
Can you unify Disconnected Dev Toolchains post-M&A?
Post-M&A platforms often lack unified CI/CD, repos, and deployments. We consolidate pipelines, repos, and environments under a shared operating model.
What about Cloud Readiness Gaps?
Infrastructure not optimized for AWS/Azure-native services or Kubernetes adoption is assessed and upgraded for scalability, security, and cost efficiency.
How do you address having No Data Access Layer?
Inability to query across structured and unstructured app data is solved by implementing a unified data layer and governed access patterns.
How do you manage Security & Compliance Gaps?
Legacy controls block integration with AI services and control planes. We embed policy, access, audit, and governance from day one across environments.
What if we face AI Integration Barriers?
Core systems can’t support GPT-powered extensions or autonomous agents. We add APIs, eventing, vector-aware data, and guardrails to enable safe AI features.
How do you reduce High Operating Costs?
Inefficient platforms and redundant toolchains drive expenses. We optimize infrastructure, eliminate overlap, and right-size workloads for cost control.
