COBOLpro is a deterministic, source‑backed platform that ingests enterprise COBOL code, copybooks, JCL, and related operational artifacts to automatically generate traceable documentation, architecture maps, data lineage, and business‑rule catalogs.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise COBOL estates often lack up‑to‑date documentation, making it difficult for audit, risk, and modernization teams to understand code dependencies, business logic, and operational procedures. This knowledge gap forces reliance on tribal expertise, increases change risk, and slows migration or retirement projects.
Solution
COBOLpro provides a deterministic, source‑backed documentation platform that ingests COBOL programs, copybooks, JCL, CICS, DB2, VSAM, and related operational artifacts. It performs static analysis to resolve call graphs, job flows, and data lineage, then automatically generates traceable runbooks, architecture maps, data dictionaries, and business‑rule catalogs. Each artifact includes line‑level citations to the original source, ensuring audit‑ready evidence. An optional AI layer can explain and summarize the outputs, but the source code remains the system of record. The platform supports review workflows, approval tracking, and export to formats such as Confluence, PDF, JSON, or AI‑ready bundles for downstream tools.
Target Audience
Primary customers are application, architecture, operations, risk, audit, and modernization teams responsible for critical COBOL systems in banking, insurance, logistics, energy, and government sectors.
Features
- Automated ingestion and normalization of COBOL source, copybooks, JCL, CICS, DB2 schemas, VSAM layouts, and scheduler metadata
- Static parsing and dependency resolution that produces full system topology diagrams and call‑path maps
- Extraction of calculations, validations, thresholds, and field‑level lineage into traceable business‑rule catalogs
- Generation of program runbooks, data dictionaries, and impact views with direct links to source lines
- Reviewer‑friendly evidence layer with audit trails, comments, and approval status
- Export capabilities for documentation platforms (Confluence, PDF) and AI‑ready knowledge bundles (JSON, API)
- Optional LLM‑based explanation layer that provides natural‑language summaries without altering the source‑backed artifacts