Mechanical Orchard utilizes an AI-enhanced, iterative approach to modernize legacy applications by reverse-engineering and replicating their functionality in a secure cloud environment. This method addresses the constraints of outdated systems, enabling companies to innovate and adapt quickly without operational downtime or significant risk.
Funding
$50M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many large organizations rely on legacy systems, including mainframes, which constrain their ability to adapt to market changes and innovate. Migrating legacy code "as-is" to the cloud postpones the problem, while converting it with automated tooling can result in unmaintainable code. Overhauling the entire system from scratch introduces significant risks of delays, downtime, and cost overruns.
Solution
Mechanical Orchard offers an AI-enhanced, iterative approach to modernize legacy applications by reverse-engineering and replicating their functionality in a secure cloud environment. The company understands the behaviors of a system and its interdependencies, dissecting each component to clearly define its purpose and how it works. It then delivers modern code incrementally into the cloud, resulting in a critical system that is now on a malleable and modern foundation. This approach allows companies to innovate in the cloud without the risks associated with traditional modernization methods.
Target Audience
The primary target audience includes companies that rely on legacy systems, particularly mainframes, and are seeking to modernize their applications to gain a competitive edge in the cloud.
Features
- AI-enhanced tools to understand legacy systems, including interdependencies, data flows, and code bases
- Iterative, component-based modernization approach for reduced risk and faster time to value
- Replication of legacy functionality in a secure cloud environment
- Continuous delivery of modern code, enabling incremental innovation
- Automated testing to ensure functionality and performance parity with legacy systems
- Support for various legacy languages through data flow analysis and behavior replication
- Generative AI to expedite the replication process and strategize modernization roadmaps