Interactive architecture blueprints
CAST Imaging reverse engineers an entire application into a visual map of code objects, data structures, dependencies, and frameworks.
Pioneer of software intelligence25+ years of analysis data450+ technologies supported
AI agents that finally know your codebase
CAST semantically analyzes your source code and hands AI agents a factual map of architecture, dependencies, and risks. Complex changes get done faster, with less rework.
See your own application mapped in a live walkthrough.
5xDeveloper productivity at Marsh with AI grounded in CAST context
4xFaster modernization of 110 million lines of code at Liberty Mutual
8%Of defects cause 90% of significant production issues, per MIT Fellow Dr. Richard Soley
450+Technologies analyzed, from mainframe to modern frameworks
The toolkit
One intelligence layer, every stakeholder served
Executives get portfolio facts. Developers get architecture maps. AI agents get grounded context.
AI and agentic readiness
An MCP server delivers architectural context to AI agents over a secure interface, so they can transform complex software accurately and safely.
Structural integrity gates
CAST Gatekeeper applies ISO 5055 rules to catch system-level flaws in security, resiliency, and efficiency before production, and recommends remediation paths.
Cloud migration pathways
Identify the best candidates for cloud migration and surface the blockers standing in the way.
SBOM and open source risk
Generate software bill of materials and detect open source security and license risks across your portfolio.
Concierge services
Every annual subscription includes access to dedicated specialists who help you act on the analysis.
The case for change
Your software is a black box. Your AI is guessing.
Large applications hide critical relationships across technologies, databases, and repositories. Without a factual map, every change is a gamble.
Working blind
- ×AI coding agents generate code but cannot grasp large, complex applications from source files alone
- ×Key relationships span multiple technologies, databases, repositories, and applications, creating blind spots
- ×Technical debt accumulates because nobody can see which code causes production issues
- ×Cloud migrations stall on unknown blockers buried deep in the architecture
Working with a map
- ✓CAST performs semantic analysis of actual source code, not probabilistic inference
- ✓AI agents receive verified facts: objects, dependencies, transactions, data flows, and call paths
- ✓Dashboards and interactive blueprints expose structural flaws, tech debt, and cloud blockers
- ✓Changes are verified against system-level risks before they reach production
Step by step
From source code to grounded intelligence in three steps
A simple route from setup to steady output.
Connect your repositories
CAST plugs directly into GitHub, BitBucket, and Azure DevOps to analyze your source code and open source components.
Run deterministic analysis
Semantic analysis maps the real objects, dependencies, transactions, and data flows inside and across your applications, covering 450+ technologies.
Put the intelligence to work
Executives steer portfolios from dashboards, developers navigate interactive blueprints, and AI agents act on verified facts via the MCP server.
Compare
AI coding agents alone vs. AI with CAST
Factual map of architecture and dependencies✓×
Cross-technology and cross-application relationship visibility✓×
Deterministic facts from semantic analysis of source code✓×
Change-impact analysis before production✓×
Works with your existing AI tools and agents✓✓
Choose a plan
Tiered by portfolio size, not headcount
CAST Highlight annual subscriptions scale with the number of applications, regardless of how many developers you have.
CAST SBOM Manager
Free
Software bill of materials management, available as a free download.
- ✓ SBOM generation and management
- ✓ Free download
- ✓ Open source visibility
CAST Highlight
From $20,000per year
Portfolio-level governance with three editions: Complete Insights, Cloud Insights, and SCA Insights. Scales from 25 applications ($20,000/yr) up to 1,000 applications ($240,000/yr).
- ✓ Technical debt identification and prioritization
- ✓ Cloud maturity and blocker analysis
- ✓ Open source risk detection
- ✓ AI and agentic readiness insights
- ✓ Concierge services included
CAST Imaging & Gatekeeper
Custom
Deep application blueprints and structural integrity gates. Imaging licenses are offered privately with volume discounts; Gatekeeper pricing includes licensing, support, and updates.
- ✓ Interactive application blueprints
- ✓ ISO 5055 structural integrity rules
- ✓ Remediation path recommendations
- ✓ Issue tracking integration
- ✓ On-premises or SaaS deployment
Answers
Questions engineers and executives ask
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 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.
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 AI agents can ground their 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 agents both a high-level understanding of the system 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. The common thread is giving AI the context needed to make complex changes with less rework and risk.
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 rip out.
Ready when you are
Stop guessing. Start with the map.
See how CAST turns your source code into the intelligence your teams and AI agents need to move fast without breaking what matters.
Book a call›