Replai provides an AI‑driven platform that continuously analyzes legacy code, runtime behavior, dependencies, and metadata to create a living semantic knowledge base linking technical components to their business intent.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises in finance and insurance rely on decades‑old mission‑critical applications written in languages such as COBOL, Oracle Forms, and .NET. These systems lack up‑to‑date documentation, making it difficult to assess compliance, security, and modernization needs, and any change carries high risk of breaking essential business logic.
Solution
Replai offers an AI‑driven platform that continuously analyzes source code, runtime behavior, dependencies, and metadata to build a living semantic knowledge base linking every technical component to its business intent. Specialized multi‑agent intelligence extracts lost business rules, reconstructs metadata, and maps system relationships, providing interactive visualizations such as dependency graphs and audit trails. The unified knowledge layer powers downstream capabilities for discovery, compliance review, security analysis, and code‑centric modernization without requiring manual documentation or extensive developer effort. Enterprises can explore component logic, trace lineage, and safely retire or extend legacy workflows while preserving core business functionality.
Target Audience
Primary customers are banks, insurance and reinsurance firms, as well as system integrators, that need to understand, secure, and modernize legacy mission‑critical applications.
Features
- Multi‑agent AI that ingests source code, runtime logs, and metadata across a wide range of legacy technologies (e.g., Oracle Forms, COBOL, .NET, Java, Delphi, PowerBuilder)
- Unified semantic knowledge layer that maps technical artifacts to business meaning, enabling searchable, interactive exploration
- Automated reconstruction of lost business rules and metadata, generating documentation and audit trails for regulatory compliance
- Interactive dependency graph visualizations that show component relationships, runtime usage, and inactive modules for safe retirement
- Continuous analysis pipeline that updates the knowledge base as code changes, ensuring up‑to‑date insights for security and modernization initiatives
- Support for end‑to‑end modernization workflows, including AI‑assisted code extension (Vibe programming) and transformation without losing business logic