CoreStory

Name

CoreStory

Legal name

Crowdbotics Corporation

Website

https://corestory.ai

Company type

Private

Founded year

2016

Operating status

Operating

Headcount range

101–250 employees

Ownership category

akta.pro rank

Product category

Code Intelligence Platform

NAICS

Computer Systems Design and Related Services (54151)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)

Keywords

• Code intelligence platform
• Legacy modernization
• AI code analysis
• Developer onboarding
• Software documentation automation

Headquarters

HQ city

Berkeley

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Usage-Based Platform Subscription (CIU Model): CoreStory charges for platform usage via CoreStory Intelligence Units (CIUs). Every action on the platform — code ingestion, Chat with Your Code, spec/documentation generation, MCP queries, and other analyses — consumes CIUs. CIUs replace legacy models based on repo limits, lines of code, or per-seat pricing with a single unit tied directly to actual usage. Enterprise engagements are structured around committed CIU packages with annual billing. Volume-based pricing is available for large enterprises. The platform has two tiers: Free (Discover) and Pro (Build).
2. Enterprise Professional Services (PoV Engagements): CoreStory offers paid Proof of Value (PoV) engagements for enterprise customers, during which dedicated CoreStory teams work closely with the customer organization to validate the platform on their own codebases. Enterprise customers receive onboarding, customer success support, and structured enterprise agreements with SLAs.

Pricing tiers

Go-to-market motion4 records

Distribution channels4 records

Marketing channels7 records

Core offering

CoreStory is an AI-powered code intelligence platform that ingests source code and builds a persistent, structured intelligence model of a codebase, capturing architecture, dependencies, workflows, business rules, and APIs. The platform powers natural language code querying (Chat With Your Code), auto-generates technical and business specifications (Code-to-Spec), and exposes its intelligence to AI coding agents via the Model Context Protocol (MCP). It is purpose-built for complex, long-lived enterprise codebases including legacy COBOL, mainframe, JCL, and modern stacks, supporting use cases such as legacy modernization, application maintenance, M&A technical due diligence, and developer onboarding.

Product overview

CoreStory is a code intelligence platform built by Crowdbotics Corporation (DBA CoreStory) that uses AI to reverse-engineer specifications, architecture, workflows, and business rules from source code. The core product is the CoreStory Code Intelligence Platform (also referred to as Code-to-Spec), which ingests codebases and produces a persistent intelligence model. Key user-facing modules include Chat With Your Code (natural language querying), Generated Spec Documents (auto-documentation across six document types), and Playbooks (structured workflows for specific engineering challenges). The platform is delivered in two pricing tiers: CoreStory Enterprise (GA, for companies) and CoreStory Discover (free tier for individuals, with waitlist access). Programmatic access is provided via an MCP Server Integration. Supported use cases span legacy modernization, application maintenance, AI-generated code documentation, developer onboarding, feature implementation, and M&A technical due diligence.

Differentiator

Problem solved

Functional benefit

Products and services

• CoreStory Code Intelligence Platform The CoreStory Code Intelligence Platform ingests source code in any language (including COBOL, JCL, CICS, VSAM) and builds a persistent, queryable intelligence model of architecture, dependencies, workflows, business rules, and APIs. It serves natural language code queries, auto-generates specifications, and exposes code context to AI coding agents via Model Context Protocol. Delivered as a SaaS platform with usage-based CIU pricing and a free Discover tier for individuals and small teams.
• Playbooks Structured, end-to-end workflow products built on top of CoreStory's persistent code intelligence model that combine AI agent playbooks with engineering methodology for specific scenarios. Includes the Code Modernization Playbook (6-phase legacy transformation with Strangler Fig, Branch by Abstraction, and Parallel Run patterns) and the Feature Gap Analysis Playbook (4-phase gap identification for new feature implementation in existing codebases). Each playbook produces structured outputs such as Business Rules Inventory, Target Architecture, Decomposition & Sequencing, Iterative Execution plans, Behavioral Verification, and Feature Gap Analysis Reports.

Quantifiable outcome

• 51% improvement in AI agent task accuracy (more tasks completed correctly)
• +6 more outcomes

Named customers1 record

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration7 records

AI capability5 records

Feature7 records

Partnerships

Seven partnerships are on record, tiered core and strategic.

• Claude Code (Anthropic)coreTechnology or IntegrationCoreStory integrates with Claude Code via MCP (Model Context Protocol), enabling Claude Code to query CoreStory's persistent code intelligence while planning and coding. Ready-to-use playbooks are available. This integration improves Claude Code's task accuracy by providing grounded system context.
• GitHub CopilotcoreTechnology or IntegrationCoreStory integrates with GitHub Copilot via MCP, enabling GitHub Copilot to access CoreStory's code intelligence model. Ready-to-use playbooks are available. The integration improves Copilot's code generation with grounded architectural and business context.
• Cursor (AI Coding Editor)coreTechnology or IntegrationCoreStory integrates with Cursor Composer via MCP, enabling Cursor users to query CoreStory's code intelligence directly within the editor. Ready-to-use playbooks are available. The integration grounds Cursor's AI assistance in real system understanding.
• Devin (Cognition Labs)strategicTechnology or IntegrationCoreStory supports Devin (Cognition Labs' AI software engineer) via MCP integration, enabling Devin to use CoreStory's code intelligence for autonomous coding tasks. SWE benchmarks demonstrate improved outcomes when Devin is coupled with CoreStory.
• Droid (AI Coding Agent)strategicTechnology or IntegrationCoreStory supports the Droid AI coding agent via MCP integration, enabling Droid to query CoreStory's persistent code intelligence during development and planning tasks.
• Jira (Atlassian)coreTechnology or IntegrationCoreStory integrates with Jira via MCP, enabling modernization work packages to be pushed directly into Jira as epics and stories. This integration streamlines the transition from CoreStory's analysis to engineering execution.
• Large Consulting Firms (Unnamed)strategicImplementation/ SI/ Consulting PartnerLarge consulting firms use CoreStory to support application maintenance and modernization projects for enterprise clients. CoreStory dramatically shortens discovery phases and reduces dependence on specialized legacy expertise, enabling consulting firms to scale delivery.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Sourcegraph: Sourcegraph is a code intelligence platform offering code search, cross-repository understanding, and AI-assisted coding (Cody/Amp). It competes most directly with CoreStory in the code understanding and AI-agent grounding category, targeting similar enterprise engineering buyers with persistent context across large codebases.
• Cursor (Anysphere): Cursor is an AI-native code editor that provides deep codebase context to its AI assistant. It overlaps directly with CoreStory in code intelligence for AI-assisted development and is also one of CoreStory's MCP distribution partners, making it a peer and a channel at once.
• Cognition Labs (Devin): Cognition Labs builds Devin, an autonomous AI software engineer that requires grounded code context to plan and execute tasks. It shares CoreStory's focus on durable system understanding for AI agents and is also an MCP integration partner, making it both a peer and a distribution ally.
• Tabnine: Tabnine is an AI code completion and chat platform with enterprise focus, offering personalized, context-aware code suggestions. It competes with CoreStory in the AI-for-engineering-software category for enterprise buyers, particularly where grounded codebase context improves model accuracy.
• Codeium (Windsurf): Codeium (now Windsurf) is an AI coding assistant and IDE that emphasizes deep repository understanding and agentic workflows. It directly competes with CoreStory in AI-driven code intelligence for individual developers and enterprise engineering teams.

Broad incumbents

• GitHub Copilot: GitHub Copilot (Microsoft) is the broadest incumbent in AI-assisted coding, offering code completion, chat, and increasingly workspace-level intelligence. It targets the same engineering audience and overlaps with CoreStory's spec-generation and code-understanding capabilities, but as part of a much larger platform portfolio.
• Replit: Replit is a broader cloud development environment with integrated AI agent capabilities. While its core focus spans the full development lifecycle, its AI agent features and codebase understanding overlap with CoreStory's value proposition for engineering teams.

Emerging players

• Aider: Aider is an open-source AI pair-programming tool that operates in the terminal with strong codebase context handling. It overlaps with CoreStory's developer-focused code intelligence use case, particularly for AI-assisted development and refactoring.
• Continue: Continue is an open-source AI code assistant that integrates with IDEs and supports custom context providers. It targets a similar developer persona as CoreStory's product-led growth motion and overlaps in AI-grounded code understanding workflows.
• Mintlify: Mintlify is an AI documentation platform that auto-generates developer docs from source code. It overlaps with CoreStory's spec-generation capabilities and shares the same enterprise developer-tooling target buyer, though it focuses narrowly on documentation rather than full system intelligence.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat6 records

Key risks1 record

Key highlights7 records

Customer concentration

• Xx.com/corestoryai
• YouTubeyoutube.com/channel/UCEKEZLEx-vIGfIqxRopULsQ
• LinkedInlinkedin.com/company/corestoryai

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds9 records

Investors14 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about CoreStory