Pioneer of software intelligence450+ technologies analyzed25+ year dataset

Give AI the map of your software

CAST semantically analyzes your source code and hands AI agents verified architectural context. The result at Marsh: 5x developer productivity. At Liberty Mutual: 4x faster modernization of 110 million lines of code.

Talk to a specialist about your portfolio in 30 minutes.

Why teams switch

AI can write code. It cannot read your enterprise.

Large applications span multiple technologies, databases, repositories and applications. Without a factual map, every change is a guess.

The old way

  • ×AI coding agents infer your architecture from raw source files and miss relationships that span technologies and systems
  • ×Manual discovery of unfamiliar applications burns months before any real modernization work starts
  • ×Technical debt is debated with opinions instead of measured with facts
  • ×System-level flaws in security, resiliency and efficiency surface in production, not before release

The CAST way

  • ✓Deterministic semantic analysis builds a factual map of objects, dependencies, transactions and data flows
  • ✓AI agents receive that context through an MCP server, so complex changes land with less rework and risk
  • ✓Dashboards grade technical debt, cloud maturity and agentic readiness across entire portfolios
  • ✓A structural integrity gate checks changes against ISO 5055 rules before they reach production

Features

One intelligence layer, every software decision

From portfolio governance down to a single call path, CAST turns source code into facts you can act on.

1

See inside any application

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

2

Govern portfolios with facts

CAST Highlight grades technical debt, cloud maturity, open source risk and AI readiness across your whole portfolio.

3

Ground AI agents in reality

An MCP server delivers architectural context to AI agents via a secure interface, deployed on-premises or in the cloud.

4

Stop flaws before production

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

5

Clear the path to cloud

Identify best migration candidates and the exact blockers standing in the way, per application.

6

Manage your SBOM

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

Step by step

From repositories to intelligence in three steps

Start fast and see the difference within weeks.

1

Connect your code

CAST plugs directly into GitHub, BitBucket and Azure DevOps repositories, on-premises or as SaaS.

2

Analyze semantically

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

3

Act on the facts

Execives, technologists and AI agents navigate dashboards, maps and call graphs to steer debt, cloud and modernization work.

5xDeveloper productivity at Marsh with AI grounded in CAST context
4xFaster modernization of 110M lines of code at Liberty Mutual
450+Technologies analyzed, from mainframe to distributed
8%Of code causes 90% of significant production issues - CAST finds it

Packages

Scaled to your portfolio

Annual subscriptions include complementary concierge services with dedicated specialists.

CAST SBOM Manager

Free

Software bill of materials management, available as a free download.

  • ✓ SBOM generation and management
  • ✓ Open source component analysis
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Most popular

CAST Highlight

From $20,000per year

Portfolio governance tiered by size, from 25 up to 1000 applications, regardless of developer count. Three editions: Complete Insights, Cloud Insights and SCA Insights.

  • ✓ Technical debt grades and prioritization
  • ✓ Cloud maturity and blocker detection
  • ✓ Open source risk control
  • ✓ Concierge services included
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CAST Imaging & Gatekeeper

Custom

Application-level imaging and structural integrity gates, licensed via private offers with volume discounts.

  • ✓ Interactive architectural blueprints
  • ✓ ISO 5055 integrity gates
  • ✓ Issue tracking integration
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Good to know

AI + CAST, 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 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 the AI agent can ground its work in verified facts.

What 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?+

No. CAST complements the AI tools you have 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.

Take the next step

See what your software is really made of

Book a call and find out how fast your portfolio could move with deterministic intelligence behind every decision.

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