CoreStory provides an AI‑driven code intelligence platform that automatically extracts business requirements, workflow rules, architecture diagrams, and code dependencies from legacy repositories. The generated intelligence model is searchable via a REST API and a chat‑style interface, enabling faster modernization, maintenance, and developer onboarding for large enterprises.
Funding
$32M 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
Enterprises with extensive legacy codebases often lack clear documentation of business rules, system architecture, and code dependencies, making modernization, maintenance, and new‑developer onboarding time‑consuming and error‑prone. Without an accurate, searchable representation of the existing software, teams risk costly rework and operational downtime.
Solution
CoreStory delivers an AI‑driven code intelligence platform that automatically extracts business requirements, workflow rules, architectural designs, and code‑level dependencies from existing repositories. The platform applies recursive decomposition to break large codebases into manageable units and then recomposes a validated, unified model that serves as a single source of truth. This model is fully queryable through a RESTful API and a Managed Code Platform (MCP), enabling real‑time interaction via a chat‑style interface. By surfacing hidden software knowledge, CoreStory accelerates legacy‑system modernization, improves ongoing maintenance, and reduces onboarding time for new developers. The solution also documents AI‑generated code, turning opaque outputs into traceable, spec‑compliant artifacts.
Target Audience
Primary customers are large enterprises and software engineering organizations that need to modernize, maintain, or extend legacy applications, as well as development teams responsible for onboarding new engineers and managing AI‑generated code artifacts.
Features
- Recursive decomposition and recomposition engine that scales to multi‑repo, multi‑language legacy codebases
- AI‑generated Intelligence Model covering business requirements, rules, workflows, architectural diagrams, and code dependencies
- Queryable knowledge base accessible via REST API and Managed Code Platform (MCP) for integration with CI/CD, IDEs, and analytics tools
- Interactive “chat with your code” UI that provides instant answers to natural‑language queries about functionality or design
- Automated documentation of AI‑generated code, converting black‑box outputs into fully annotated specifications
- Use‑case playbooks for legacy modernization, application maintenance, developer onboarding, and technical debt remediation
- Enterprise‑grade security with encrypted data storage and role‑based access controls