CAST Imaging turns an entire application into an interactive visual map of code objects, data structures, frameworks, and dependencies.
Your AI agent is coding blind
AI writes code fast, but it cannot see the architecture it is changing. CAST hands agents a deterministic map of every object, dependency, and data path, so complex changes land with less rework and risk.
See how CAST grounds your AI workflows in verified software facts.
Features
See inside your software
CAST reverse engineers applications into interactive blueprints and portfolio-wide intelligence.
Application blueprints
CAST Imaging turns an entire application into an interactive visual map of code objects, data structures, frameworks, and dependencies.
Portfolio governance
CAST Highlight grades technical debt, cloud maturity, open source risk, and AI readiness across your whole portfolio with empirical facts.
AI agent context via MCP
A secure MCP server feeds agents architectural graphs, call paths, transactions, and dependency data, delivered as a Docker container or Windows extension.
Structural integrity gates
CAST Gatekeeper applies ISO 5055 rules to detect system-level flaws affecting security, resiliency, and efficiency before production.
SBOM management
Generate and manage software bills of materials, with open source security and license risk detection built in.
Cloud migration paths
Identify the best candidates for migration, surface blockers, and track progress toward cloud readiness.
Tech debt prioritization
Pinpoint the small share of code driving most production issues and get recommended remediation paths.
Concierge services
Every annual subscription includes access to dedicated specialists who help you act on the analysis.
Trusted by teams at
Your path
From source code to grounded intelligence
A clear path from first step to measurable outcome.
Connect your repositories
CAST plugs directly into GitHub, BitBucket, or Azure DevOps and analyzes your source code, on-premises or in the cloud.
Run semantic analysis
The engine builds a deterministic map of objects, dependencies, transactions, data flows, and cross-application relationships.
Feed context to people and AI
Executists, engineers, and MCP-compatible AI agents get dashboards, call graphs, and object-level detail through a secure interface.
Act with confidence
Prioritize remediation, clear cloud blockers, extract business rules, and verify changes before they reach production.
Proof
What leading teams achieved
“CAST makes technical debt remediation at scale possible, boosting developer productivity 5x by equipping AI with deterministic architectural context.”
“CAST helped speed the modernization of 110 million lines of code by 4x across mainframe and distributed systems.”
“CAST enabled IBM Consulting to ground AI in deterministic application context and accelerate the modernization of a 40-year-old mainframe application.”
Compare
AI agents alone vs AI with CAST
Common questions
Questions, answered
What is AI + CAST?+
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.
Why can't an AI coding agent understand the application on its own?+
AI coding agents are 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.
What does deterministic software intelligence mean?+
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.
What kinds of software intelligence does CAST provide to AI agents?+
Application inventories and statistics, internal architectural graphs, cross-application dependencies, transactions, data-access paths, call graphs, object details, source-code locations, and direct and indirect dependencies. This gives the agent both a high-level understanding and the detailed context needed for specific changes.
What development and modernization use cases can AI + CAST support?+
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.
Does CAST replace our existing AI coding tools or agents?+
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.
Next step
Give your AI the map it is missing
Book a call and see how CAST turns your source code into the deterministic context your teams and agents need.
Book a call→