See inside any application
CAST Imaging reverse engineers an entire application into an interactive visual blueprint of code objects, data structures, frameworks and dependencies.
CAST finds it. Through semantic analysis of your source code, CAST maps architecture, dependencies and structural flaws so you can cut technical debt, clear the path to cloud, and give AI agents verified facts instead of guesses.
Annual subscriptions include complementary concierge services with dedicated specialists.
Features
One analysis engine, four lenses on your portfolio: quality, cloud, open source and AI readiness.
CAST Imaging reverse engineers an entire application into an interactive visual blueprint of code objects, data structures, frameworks and dependencies.
CAST Highlight scores technical debt, cloud maturity, open source risk and AI readiness across your whole portfolio, with work effort metrics to prioritize remediation.
CAST Gatekeeper applies ISO 5055 rules to detect system-level flaws affecting security, resiliency and efficiency, recommends remediation paths, and connects to your issue trackers.
Identify the best candidates for migration, surface the blockers holding them back, and track cloud maturity as you move.
The CAST MCP server feeds AI agents application inventories, call graphs, data-access paths and dependency maps so they transform complex software with less rework and risk.
CAST SBOM Manager handles software bill of materials, with open source security and license risk detection built in.
Why change
Most teams cannot see the structure inside their applications until something breaks in production.
The old way
The CAST way
The flow
From first touch to real results, without the guesswork.
CAST plugs directly into GitHub, BitBucket and Azure DevOps to pull source code and open source components.
The engine parses 450+ technologies, mapping objects, transactions, data flows and cross-application relationships.
Results aggregate into dashboards, maps and call graphs covering quality grades, cloud maturity, risks and effort metrics.
Executives steer initiatives, developers fix what matters, and AI agents work from a factual map delivered via the MCP server.
Options
Annual subscriptions include complementary concierge services with dedicated specialists.
Free
Software bill of materials management, available as a free download.
From $20,000per year
Three editions to choose from: Complete Insights, Cloud Insights and SCA Insights, priced by portfolio size from 25 up to 1000 applications, regardless of developer count.
Custom
Imaging licenses are available via private offers with volume discounts. Gatekeeper pricing includes licensing, support and updates.
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 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.
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.
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 rip out later.
Next step
Book a call and see what CAST reveals about your portfolio in a single analysis.
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