Description
CloudGeometry specializes in end-to-end AI-powered software delivery, allowing organizations to transition their existing production systems quickly and efficiently. With a focus on next-day time-to-market and a reduction in total cost of change by 30–70%, CloudGeometry provides a solution that eliminates the need for retained development teams. The platform utilizes a unique AI-Powered Lifecycle Execution model, delivered as a managed service, which is trusted by product and enterprise teams alike.
At the core of CloudGeometry's offering is the AI-MSL (AI-Powered Software Lifecycle) platform, which operates on an outcome-based model. This model ensures that every change is fixed-cost and guaranteed, with a dedicated AI Lifecycle Manager overseeing the process. The pricing structure is based on DevCredits, which are all-inclusive units that cover the entire governed software lifecycle, including AI execution, infrastructure, expert supervision, testing, and documentation.
CloudGeometry's approach allows organizations to modernize their software without the risks and costs associated with traditional rewrites. The platform features AppGraph, a continuously maintained semantic model that captures the architecture, APIs, workflows, and dependencies of a system. This system intelligence accelerates agent development, automates impact analysis, and governs AI deployment at an enterprise scale.
The AI-MSL platform is designed to support organizations in their journey towards self-improving systems. It transforms software and system intelligence into a business asset, enabling faster product execution, continuous modernization, and higher quality delivery. The platform is built on proven open-source technologies and integrates seamlessly with existing enterprise stacks, ensuring no vendor lock-in.
CloudGeometry also emphasizes security and governance, with AI-MSL managing Infrastructure-as-Code through the same governed lifecycle as application code. This provides complete traceability and repeatability across the entire cloud platform. Organizations can choose between different AI agent platforms, such as LangBuilder for flexibility or LangSmith for a fully managed experience, ensuring that the solution aligns with their enterprise strategy.
AI-Powered Software Delivery's Core Features
AI-Powered Lifecycle Execution
Fixed-Cost Changes
DevCredits Pricing Model
Continuous Software Maintenance
Governed Lifecycle Management
Expert Supervision
Infrastructure-as-Code Management
AppGraph System Intelligence
How to use AI-Powered Software Delivery?
Assess your current software system to identify modernization opportunities.
Define high-level feature goals and requirements with the help of AI-MSL.
Submit your requirements for automated assessment and DevCredit estimation.
Engage with AI Lifecycle Engineers for execution and oversight.
Monitor the development process through the AI-MSL platform for quality assurance.
Receive a structured understanding of your system and visibility into dependencies.
Implement changes and compare speed, cost, and quality against previous methods.
AI-Powered Software Delivery's Use Cases
- Rapid Feature Delivery
- Cost Reduction
- Continuous Modernization
- Governed Software Lifecycle
- Infrastructure Management
