Application mapping
Reverse engineer entire applications into interactive visual blueprints showing code objects, data structures, dependencies, and frameworks.
CAST semantically analyzes your source code to map architecture, dependencies, and risks. Your teams and AI agents get factual context to cut technical debt and accelerate cloud migration with less rework.
See how Liberty Mutual modernized 110M lines of code 4x faster
Trusted by leading enterprises and governments
What it does
CAST generates dashboards, maps, and call graphs from semantic analysis of your actual source code.
Reverse engineer entire applications into interactive visual blueprints showing code objects, data structures, dependencies, and frameworks.
Govern software portfolios with empirical facts on technical debt, cloud maturity, OSS risks, and AI adoption opportunities.
Detect system-level flaws affecting security, resiliency, and efficiency before changes reach production, with ISO 5055 compliance.
Identify best candidates for cloud migration, pinpoint blockers, and map clear remediation pathways.
Provide AI coding agents with deterministic architectural context through a secure MCP server, deployable on-premises or in the cloud.
Generate and manage software bill of materials with open source security and license risk detection.
Identify the 8% of code causing 90% of reliability, security, and efficiency issues in production.
Plug directly into GitHub, BitBucket, and Azure DevOps to analyze source code and aggregate results into dashboards.
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Process
Start fast and see the difference within weeks.
CAST plugs directly into GitHub, BitBucket, and Azure DevOps to access your source code for analysis.
CAST performs deterministic semantic analysis across 450+ technologies, mapping objects, dependencies, transactions, and data flows.
Navigate interactive visual blueprints, call graphs, and portfolio-level dashboards covering technical debt, cloud maturity, and structural risks.
AI coding agents access verified architectural context through the MCP server, enabling accurate changes with less rework and risk.
Outcomes
“CAST makes technical debt remediation at scale possible and boosts developer productivity 5x by equipping AI with deterministic architectural context.”
“CAST helps speed modernization of 110 million lines of code by 4x for mainframe and distributed systems.”
“CAST enabled IBM Consulting to ground AI in deterministic application context, translate buried business rules into clear plain English, and accelerate the modernization of a 40-year-old mainframe application.”
“CAST enabled Microsoft and Schneider Electric to speed up refactoring of major applications on Azure and save months of manual discovery work.”
Choose a plan
Annual subscriptions include complementary concierge services with dedicated specialists. CAST SBOM Manager is available as a free download.
$20,000/year
Complete Insights, Cloud Insights, or SCA Insights edition for portfolios up to 25 applications.
$240,000/year
Full portfolio governance for up to 1000 applications, regardless of developer count.
Free
Generate and manage software bill of materials with open source risk detection.
Good to know
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 can accelerate your modernization initiatives with deterministic software intelligence.
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