Bloop.ai is an extension for code editors that extracts code examples from official library documentation, enhancing developer productivity. The platform also features an AI model specifically designed for COBOL, enabling automatic conversion of legacy COBOL code to readable Java without requiring code freezes during the process.
Funding
$7.4M 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 organizations still rely on legacy COBOL systems, which are difficult to maintain, understand, and modernize due to a shortage of skilled COBOL developers and the complexity of the code. Traditional modernization efforts often require code freezes and extensive manual refactoring, leading to project delays and increased costs.
Solution
Bloop.ai provides an AI-powered solution for modernizing and working with legacy COBOL code. The platform offers automatic conversion of COBOL code to readable Java, enabling teams to maintain and extend their systems without requiring code freezes. Additionally, Bloop.ai features an AI pair programmer specifically trained for COBOL development, enhancing developer productivity by providing code completion and suggestions.
Target Audience
The primary target audience includes organizations in industries such as finance, insurance, and government that rely on legacy COBOL systems and seek to modernize their code base while minimizing disruption and costs.
Features
- Automatic conversion of COBOL to readable Java code
- AI-powered code conversion validated by an AI test suite to ensure identical behavior between COBOL and Java programs
- Converted code utilizes open-source libraries and cloud primitives to minimize licensing costs
- No code freeze required during the conversion process, enabling continuous delivery
- AI pair programmer (mAInframer-1) specifically trained for COBOL development
- Code editor extension that extracts code examples from official library documentation
- Offline operation of the AI model, eliminating the need for an internet connection