Zengines automates the end-to-end data conversion process for organizations migrating data to new applications and systems, utilizing machine learning algorithms to generate conversion specifications and code. This automation reduces the time and costs associated with data migrations while minimizing the risks inherent in complex conversion tasks.
Funding
$21.7M 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.
HPFounders
Product
Problem
Data migrations to new applications or systems are often complex, time-consuming, and costly, consuming a significant portion of the overall migration budget. These projects are also prone to errors due to the manual effort required to analyze, transform, and load data. The complexity of the conversion process makes them tricky to manage and increases the risk of project delays and failures.
Solution
Zengines automates the end-to-end data conversion process, significantly reducing the time, cost, and risk associated with data migrations. The platform analyzes the data requirements of the new system and automatically generates data conversion specifications based on the existing system. It then automatically generates the code needed to match, transform, load, and test the data conversion project. Zengines also provides built-in processes and program management tools to govern and control the conversion effort, ensuring project visibility and reducing reliance on scarce expert resources.
Target Audience
Zengines targets organizations migrating data to new applications, systems, or outsourced services.
Features
- Automated data analysis to determine the data requirements of the new system.
- Automatic generation of data conversion specifications based on the existing system.
- Automated code generation for matching, transforming, loading, and testing data.
- Built-in processes and program management tools for governing and controlling the conversion effort.
- Project visibility tools for managing risk and ensuring project success.
- Automation of manual tasks to reduce reliance on expert resources.