Code Comprehend provides an AI‑driven platform that automatically extracts business capabilities, data flows, and technical risk indicators from any codebase, supporting both legacy and modern languages. The analysis runs locally in private‑cloud, on‑premises, or air‑gapped environments, delivering traceable evidence linked to source lines to accelerate modernization planning.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise software often contains undocumented legacy code and complex data pipelines, making it difficult to identify business logic, dependencies, and technical risks. Manual reverse‑engineering can take months, delaying modernization projects and increasing migration risk.
Solution
Code Comprehend offers an AI‑driven analysis platform that automatically extracts business capabilities, data flows, and technical risk indicators from any codebase, whether COBOL mainframes, Java microservices, .NET services, or Python applications. The system processes code locally in private‑cloud, on‑premises, or air‑gapped environments, ensuring full data sovereignty for regulated enterprises. Each insight is backed by traceable evidence linked to the original source lines, enabling teams to validate findings quickly. The resulting intelligence can be used to plan refactoring, replatforming, rehosting, or rearchitecting strategies with confidence, reducing analysis time from months to minutes.
Target Audience
Primary customers are enterprise IT and engineering teams responsible for modernizing legacy applications, ETL pipelines, and data estates in regulated industries such as banking, healthcare, telecommunications, and government.
Features
- Multi‑language support covering legacy (COBOL, mainframe) and modern stacks (Java, .NET, Python, etc.)
- On‑premises, private‑cloud, and air‑gapped deployment options for strict data‑sovereignty requirements
- Automated extraction of business capabilities, data flow maps, and technical risk assessments
- Evidence‑backed claims with direct traceability to source code lines
- Integration pathways for cloud platforms (AWS, Azure, GCP) and migration strategies (refactor, replatform, rehost, rearchitect)