Alpha Omega's AI Modernization Suite (AOMS) - Accelerating Legacy Code Modernization with AI.

Alpha Omega's AI Modernization Suite (AOMS) - Accelerating Legacy Code Modernization with AI. This unique solution enables the DoD & Federal Civilian agencies to efficiently retire legacy code, resolve cybersecurity vulnerabilities, and identify and repair flaws in intent and implementation. without the need for manual intervention. Our solution enables rapid modernization in months rather than years, ensuring code remains up-to-date with future technological advancements. It surpasses alternatives by delivering faster results with lower risk and a reduced total cost of ownership.

Speed to Implement: Deterministic and semantic AI-driven code modernization can be completed in 9-18 months, whereas manual code modernization can take 5-10 years, and generative AI-assisted code modernization can take 3-5 years.
Cost to Modernize: The deterministic AI approach generates 100% accurate code in target language which significantly reduces the average number of resources needed to modernize. This includes the ability to have inherent continuous code modernization, automatic documentation generation, non-invasive development, solution flexibility, and bespoke code that is easier to maintain and enhance.
Cost to Operate & Maintain (O&M): Deterministic AI-driven code modernization cuts support and maintenance costs by eliminating technical debt, enhancing security, and future-proofing technology. This results in 25% to 75% savings over typical annual O&M costs, which usually range from 15% to 25% of initial development costs. Additionally, using talent skilled in newer technologies simplifies hiring and training, further improving efficiency and reducing costs.

This solution is currently being used at USAF.

Use Case Business Process Model

Improving Acquisition Processes. Challenges related to enhancing efficiency, transparency or effectiveness in procurement and acquisition workflows. Data Integration Across Systems. Resolving challenges in consolidating and harmonizing data from multiple platforms, systems, or sources for unified insights. Modernizing legacy applications

Date

Feb 2025

Life Cycle

Production

Organization Type

Industry