Application blueprints
CAST Imaging reverse-engineers an entire application into an interactive visual map of code objects, data structures, dependencies, and frameworks.
CAST semantically analyzes source code to map architecture, dependencies, and structural risks across 450+ technologies. Ground your modernization, cloud migration, and AI initiatives in deterministic facts - not guesses.
Annual subscriptions start at $20,000 for 25 applications.
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Features
CAST analyzes source code from GitHub, BitBucket, and Azure DevOps to produce dashboards, maps, and call graphs for executives, technologists, and AI agents.
CAST Imaging reverse-engineers an entire application into an interactive visual map of code objects, data structures, dependencies, and frameworks.
CAST Highlight scores technical debt, cloud maturity, open-source risk, and AI readiness across every application in your portfolio.
CAST Gatekeeper applies ISO 5055 rules to detect system-level flaws affecting security, resiliency, and efficiency before production.
An MCP server delivers deterministic architectural context to AI coding agents so they understand complex applications and transform them safely.
Identify the best candidates for cloud migration, spot blockers, and map remediation pathways before you commit resources.
CAST SBOM Manager generates and manages software bill of materials for open-source components, available as a free download.
Step by step
A simple route from setup to steady output.
CAST plugs directly into GitHub, BitBucket, and Azure DevOps to pull source code for analysis. Deploy on-premises or in the cloud as a Docker container or Windows extension.
CAST performs deterministic semantic analysis across 450+ technologies, identifying real objects, dependencies, transactions, data flows, and architectural relationships.
Get interactive visual blueprints, call graphs, quality grades, cloud maturity scores, and work-effort metrics for every application and across your portfolio.
Executives, developers, and AI agents use CAST intelligence to prioritize remediation, plan modernization, and make complex changes with less rework and risk.
The difference
Outcomes
“CAST makes technical debt remediation at scale possible and boosts developer productivity 5x by equipping AI with deterministic architectural context.”
“CAST helped speed modernization of 110 million lines of code by 4x across mainframe and distributed systems.”
“CAST enabled Microsoft and Schneider Electric to speed up refactoring of major applications on Azure and save months of manual discovery work.”
Options
Annual subscriptions include complementary concierge services with dedicated specialists. Each portfolio requires its own subscription.
$20,000/year
Portfolio governance with empirical facts on technical debt, cloud maturity, and open-source risk. Choose from Complete Insights, Cloud Insights, or SCA Insights editions.
$240,000/year
Full portfolio governance at scale, regardless of the number of developers on your team.
Free
Generate and manage software bill of materials for open-source components across your applications.
Common 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 effective at generating code but 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, allowing customers to improve their existing AI-enabled workflows without introducing another tool.
Common use cases include understanding unfamiliar applications, extracting business rules, performing change-impact analysis, generating documentation and tests, remediating technical debt, removing cloud blockers, identifying microservice candidates, replacing frameworks or databases, and transforming legacy applications.
Move forward
Book a call to see how CAST maps your applications and portfolio in hours - not months.
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