Portfolio governance with facts
CAST Highlight governs software portfolios with empirical facts: technical debt, cloud maturity, open source risks, and AI adoption opportunities in one view.
Annual subscriptions include complementary concierge services with dedicated specialists.
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Inside the product
From portfolio governance down to a single call path, CAST gives you the facts.
CAST Highlight governs software portfolios with empirical facts: technical debt, cloud maturity, open source risks, and AI adoption opportunities in one view.
CAST Imaging reverse engineers an entire application into an interactive visual blueprint of architecture, code, data access, and dependencies.
CAST Gatekeeper analyzes semantics, applies ISO 5055 rules, recommends remediation paths, and connects to your issue tracking systems.
Generate and manage software bills of materials, with open source security and license risk detection across your components.
Identify the best candidates for cloud migration and the blockers standing in the way, before the migration starts.
Feed AI agents deterministic architectural context through the CAST MCP server, delivered as a Docker container or Windows extension, on-premises or in the cloud.
Measure green software impact and get remediation insights that improve efficiency alongside reliability and security.
Every annual subscription includes complementary concierge services with dedicated specialists.
The case for change
Modernization, cloud migration, and AI adoption all hit the same wall: nobody fully knows what is inside the applications.
The old way
The CAST way
Versus the old way
Your path
Start fast and see the difference within weeks.
CAST plugs directly into GitHub, BitBucket, and Azure DevOps to analyze your code and open-source components.
CAST maps code objects, data structures, dependencies, frameworks, and cross-application relationships across 450+ technologies.
Executives get portfolio dashboards; technologists get call graphs, transaction paths, and interactive architecture blueprints.
The CAST MCP server hands verified architectural facts to MCP-compatible agents, so changes land with less rework and risk.
Packages
CAST Highlight subscriptions are priced by the number of applications, regardless of how many developers you have. Each portfolio requires its own subscription.
From $20,000per year
Portfolio-level intelligence from 25 applications ($20,000/yr) up to 1,000 applications ($240,000/yr). Choose from Complete Insights, Cloud Insights, or SCA Insights editions.
Freedownload
Software bill of materials management, available as a free download.
Customprivate offer
Application-level blueprints licensed via private offers with volume discounts. CAST Gatekeeper pricing includes licensing, support, and updates.
Answers
AI + CAST combines AI coding agents with deterministic software intelligence. CAST maps the architecture, dependencies, data access, call paths, and structural risks inside an application, then provides that context to AI agents so they can understand and transform complex software more accurately, efficiently, and safely.
AI coding agents are very effective at generating code, but they can struggle to understand large, complex applications from source files alone. Important relationships may span multiple technologies, databases, repositories, and applications. CAST gives the agent a factual map of these relationships, reducing blind spots, incorrect assumptions, and unintended downstream impacts.
It means the information is derived through semantic analysis of the actual software rather than inferred or generated probabilistically by an LLM. CAST identifies the application's real objects, dependencies, transactions, data flows, and architectural relationships, so the AI agent can ground its work in verified facts.
No. CAST complements the AI tools an organization has already selected. It supplies deterministic application context to MCP-compatible agents and development tools, improving your existing AI-enabled workflows without introducing another tool to replace them.
Common use cases include understanding unfamiliar applications, extracting business rules, change-impact analysis, generating documentation and tests, remediating technical debt, removing cloud blockers, identifying microservice candidates, replacing frameworks or databases, and transforming legacy applications.
Take the next step
See how CAST turns your source code into the facts that speed modernization, cut technical debt, and clear the path to cloud.
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