Pioneer of software intelligence25+ year analysis dataset450+ technologies supported

Trust Every Change to Verified Facts

CAST is a deterministic MRI for software. It semantically analyzes your source code and turns it into maps, dashboards, and call graphs your teams and AI agents can rely on.

Annual subscriptions include complementary concierge services with dedicated specialists.

The shift

Software decisions made on guesses are expensive

Critical relationships hide across technologies, databases, repositories, and applications. Without verified facts, every change is a bet.

The old way

  • ×AI coding agents infer architecture from source files and miss relationships that span multiple systems
  • ×Technical debt stays invisible until it fails in production
  • ×Cloud migration plans are built on assumptions, not measured blockers
  • ×Open source security and license risks go undetected inside the portfolio

The CAST way

  • ✓Semantic analysis of actual source code produces verified maps of objects, dependencies, transactions, and data flows
  • ✓Structural integrity gates apply ISO 5055 rules to catch system-level flaws before production
  • ✓Cloud maturity and blocker analysis shows exactly what stands between you and migration
  • ✓Open source risk control and SBOM management give you a factual inventory of what runs in your software

What you get

Intelligence built on what your code actually does

Every insight comes from semantic analysis of your real software, never from probabilistic inference.

I

See inside any application

CAST Imaging reverse engineers an entire application into an interactive visual blueprint of architecture, code, data access, and dependencies.

II

Structural integrity gates

CAST Gatekeeper analyzes semantics, applies ISO 5055 rules, recommends remediation paths, and connects to your issue tracking systems.

III

Technical debt, measured

Identify and prioritize the debt that actually threatens reliability, security, and efficiency, with work effort metrics to plan remediation.

IV

Cloud readiness, fact-checked

Score cloud maturity, find migration pathway candidates, and remove the specific blockers standing in the way.

V

SBOM and open source risk control

Detect open source security and license risks and manage your software bill of materials with a factual inventory.

VI

AI and agentic readiness

Give MCP-compatible AI agents verified architectural context so they transform complex software with fewer blind spots and less rework.

VII

Green software insights

Measure green software impact and get remediation insights that reduce waste alongside risk.

VIII

Deploy your way

Run CAST on-premises or in the cloud, delivered as SaaS, a Docker container, or a Windows extension.

Trusted by teams at

Liberty MutualMarsh & McLennanUBSADPUS Air ForceIBMMicrosoftAccenture

Process

From source code to verified intelligence in four steps

From first touch to real results, without the guesswork.

I

Connect your repositories

CAST plugs directly into GitHub, BitBucket, and Azure DevOps to reach your source code and open source components.

II

Analyze the semantics

Deterministic analysis maps code objects, data structures, dependencies, frameworks, and cross-application relationships across 450+ technologies.

III

Navigate the results

Dashboards, maps, and call graphs give executives, technologists, and AI agents a shared, factual view of the software.

IV

Act with confidence

Steer technical debt, modernization, and cloud initiatives, and verify changes before they reach production.

5xDeveloper productivity boost at Marsh with AI grounded in CAST context
4xFaster modernization of 110 million lines of code at Liberty Mutual
450+Technologies analyzed, from mainframe to distributed systems
8% / 90%Roughly 8% of defects cause 90% of significant production issues, per MIT Fellow Dr. Richard Soley

Compare

CAST vs AI agents working alone

AI + CASTAI agents alone
Architecture derived from semantic analysis of real code✓×
Cross-application and cross-technology dependency visibility✓×
ISO 5055 structural flaw detection before production✓×
Works with the AI tools you already use✓✓
Open source security and license risk control✓×
Deployable on-premises or as SaaS✓×

Pricing

Tiered by portfolio size, not headcount

Annual subscriptions include complementary concierge services with dedicated specialists.

Most complete visibility

CAST Highlight

From $20,000per year

Portfolio governance with empirical facts. Tiered from $20,000 for 25 applications up to $240,000 for 1000 applications, regardless of developer count. Choose Complete Insights, Cloud Insights, or SCA Insights editions.

  • ✓ Technical debt identification and prioritization
  • ✓ Cloud maturity and blocker analysis
  • ✓ Open source risk detection
  • ✓ AI acceleration and agentic readiness insights
  • ✓ Concierge services included
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CAST SBOM Manager

Freedownload

Manage your software bill of materials with a factual inventory of components.

  • ✓ SBOM generation and management
  • ✓ Open source component visibility
  • ✓ Free download
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CAST Imaging & Gatekeeper

On requestprivate offer

Imaging licenses are available via private offers with volume discounts. Gatekeeper pricing includes licensing, support, and updates.

  • ✓ Interactive application blueprints
  • ✓ ISO 5055 structural integrity gates
  • ✓ Issue tracking integration
  • ✓ Volume discounts available
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Common questions

Questions teams ask before trusting AI with their software

What does deterministic software intelligence mean?+

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.

Why can't an AI coding agent understand the application on its own?+

AI coding agents generate code well but struggle to understand large, complex applications from source files alone. Important relationships 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.

Does CAST replace our existing AI coding tools?+

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.

What use cases does 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.

How is CAST deployed?+

Deployment options include SaaS and on-premises. The MCP server for CAST is delivered as a Docker container or Windows extension, and CAST plugs directly into repositories such as GitHub, BitBucket, and Azure DevOps.

Take the next step

Put verified facts behind your next software decision

IBM Consulting used CAST to ground AI in deterministic context and accelerate the modernization of a 40-year-old mainframe application. See what it reveals in yours.

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