CAST maps the real architecture, dependencies, and risks inside your software, then hands that verified context to AI agents so complex changes land with less rework.
Annual subscriptions include complementary concierge services.
Trusted by teams at
Why teams switch
Large applications hide critical relationships across technologies, databases, repositories, and systems. Without a factual map, every change is a guess.
The old way
The CAST way
Step by step
A simple route from setup to steady output.
CAST plugs directly into GitHub, BitBucket, and Azure DevOps, and analyzes open source components.
Semantic analysis maps code objects, data structures, frameworks, and cross-application relationships across 450+ technologies.
Dashboards and maps surface quality grades, critical flaws, cloud maturity, AI readiness, and work effort metrics.
The MCP server, delivered as a Docker container or Windows extension, feeds verified context to MCP-compatible agents and tools.
Features
Every product is built on the same semantic analysis engine: an MRI for software.
Reverse engineers an entire application into an interactive visual blueprint of code, data access, and dependencies for faster modernization.
Governs software portfolios with empirical facts on technical debt, cloud maturity, open source risks, and agentic readiness.
A structural integrity gate that applies ISO 5055 rules, recommends remediation paths, and verifies changes before production.
Manages your software bill of materials, including open source security and license risk detection. Available as a free download.
An MCP server gives AI agents application inventories, architectural graphs, call paths, and dependency details so they work from facts, not guesses.
Dedicated specialists included with every annual subscription.
How we compare
Plans
CAST Highlight annual subscriptions scale with portfolio size, regardless of how many developers you have.
From $20,000per year
Tiered by portfolio size, from 25 applications up to 1,000. Choose from three editions: Complete Insights, Cloud Insights, or SCA Insights.
Freedownload
Software bill of materials management with open source risk detection.
Customprivate offer
Imaging licenses are available via private offers with volume discounts. Gatekeeper pricing includes licensing, support, and updates.
Questions
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 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 AI agents can ground their work in verified facts.
No. CAST complements the AI tools your 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.
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 factual context your teams and AI agents need.
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