Pioneer of software intelligence25+ years of analysis data450+ technologies supported

Know What Is Inside Your Software

CAST performs a deterministic MRI of your code, turning source into maps, dashboards and facts. Executives, engineers and AI agents finally work from the same verified truth.

Every annual subscription includes complementary concierge services with dedicated specialists.

5xDeveloper productivity boost at Marsh with AI grounded in CAST context
4xFaster modernization of 110 million lines of code at Liberty Mutual
450+Technologies supported in analysis
8%Of total defects cause 90% of significant production issues, per MIT Fellow Dr. Richard Soley

Trusted by teams at

Liberty MutualMarsh & McLennanUBSADPUS Air ForceIBMMicrosoftAccenture

Why change

Complex software cannot be fixed by guessing

Most organizations cannot see the structure inside their applications, so every modernization, cloud move or AI initiative starts with blind spots.

The old way

  • ×AI coding agents generate code but miss relationships that span technologies, databases and repositories
  • ×Manual discovery of unfamiliar applications burns months before any real work starts
  • ×Technical debt stays invisible until it fails in production
  • ×Cloud migration plans are built on assumptions, not evidence

The CAST way

  • ✓Semantic analysis of actual source code produces verified facts, not probabilistic guesses
  • ✓Interactive blueprints reverse engineer entire applications so teams understand them in days
  • ✓Structural flaws are detected before changes reach production, following ISO 5055 rules
  • ✓AI agents receive a factual map of architecture, dependencies and call paths through an MCP server

Process

From source code to decisions in four steps

From first touch to real results, without the guesswork.

1

Connect your repositories

CAST plugs directly into GitHub, BitBucket or Azure DevOps and analyzes your source code, including open source components.

2

Semantic analysis runs

The engine maps code objects, data structures, frameworks, transactions and cross-application dependencies across 450+ technologies.

3

Intelligence surfaces

Dashboards, maps and call graphs show quality grades, structural flaws, cloud maturity, AI readiness and work effort metrics.

4

Humans and AI act on facts

Executives steer initiatives, developers prioritize remediation, and MCP-compatible AI agents work with verified architectural context.

What it does

One intelligence layer, every software decision

From portfolio governance down to a single call path, CAST gives each role the facts it needs.

1

Portfolio governance with facts

CAST Highlight grades technical debt, cloud maturity, open source risks and AI readiness across your entire portfolio with empirical data.

2

See inside any application

CAST Imaging reverse engineers an application into an interactive visual blueprint of code objects, data structures and dependencies.

3

Structural integrity gate

CAST Gatekeeper applies ISO 5055 rules to catch system-level flaws in security, resiliency and efficiency before production, and recommends remediation paths.

4

Context for AI agents

An MCP server delivers architectural context to AI coding agents via a secure interface, shipped as a Docker container or Windows extension.

5

SBOM management

CAST SBOM Manager handles software bill of materials, with open source security and license risk detection built in.

6

Cloud migration pathways

Identify the best candidates for cloud migration and the blockers standing in their way, before you commit a plan.

7

Plugs into your repositories

Direct integration with GitHub, BitBucket and Azure DevOps, plus issue tracking systems, with results aggregated into dashboards.

8

Green software insights

Measure green software impact and get remediation insights alongside quality and effort metrics.

Options

Tiered by portfolio size, not headcount

Annual subscriptions are priced per application portfolio, regardless of the number of developers.

Most popular

CAST Highlight

From $20,000/year25 applications; scales to $240,000 for 1000 applications

Portfolio governance with three editions to choose from: Complete Insights, Cloud Insights and SCA Insights.

  • ✓ Technical debt, cloud maturity and OSS risk analysis
  • ✓ AI adoption and agentic readiness insights
  • ✓ Choice of Complete, Cloud or SCA Insights edition
  • ✓ Concierge services with dedicated specialists included
Book a call

CAST SBOM Manager

FreeFree download

Manage software bill of materials for your applications at no cost.

  • ✓ SBOM generation and management
  • ✓ Open source component visibility
Book a call

FAQ

Questions teams ask about CAST

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 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 view 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.

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 them.

Move forward

Stop guessing. Start with the facts.

Book a call and see how CAST maps your software, clears your path to cloud and gives your AI agents the context they need.

Book a call