Trusted by governments and global enterprises25+ years of software intelligence

Facts Your AI Can Trust

CAST performs deterministic semantic analysis of your source code. Every architecture map, dependency graph and risk score is derived from the actual software, never guessed.

Annual subscriptions include concierge services with dedicated specialists.

8%of total defects cause 90% of significant reliability, security and efficiency issues in production (Dr. Richard Soley, MIT Fellow)
450+technologies analyzed, from mainframe to cloud-native
5xdeveloper productivity boost for Marsh when AI worked with CAST context
4xfaster modernization of 110 million lines of code at Liberty Mutual

Trusted by teams at

Liberty MutualMarsh & McLennanUBSADPIBMMicrosoftUS Air ForceAccenture

The shift

Complex software decisions made on guesswork

Large applications hide their real structure across technologies, databases and repositories. Decisions made without verified facts create rework, outages and risk.

The old way

  • ×AI coding agents infer from source files and miss relationships that span multiple technologies and applications
  • ×Technical debt is debated in opinions instead of measured in facts
  • ×Cloud migration plans stall because blockers are discovered late
  • ×Open source security and license risks surface after changes reach production

The CAST way

  • ✓Semantic analysis identifies the real objects, dependencies, transactions and data flows in your software
  • ✓Technical debt is quantified, prioritized and tracked with empirical grades
  • ✓Cloud maturity is scored per application, with blockers and migration pathways made explicit
  • ✓Structural integrity gates verify changes against ISO 5055 rules before production

Getting started

From source code to verified intelligence in four steps

A simple route from setup to steady output.

1.

Connect your repositories

CAST plugs directly into GitHub, BitBucket and Azure DevOps, on-premises or in the cloud.

2.

Deterministic semantic analysis

The engine reads the actual code and maps objects, dependencies, transactions, data flows and cross-application relationships across 450+ technologies.

3.

Dashboards, maps and call graphs

Results aggregate into views for executives, technologists and AI agents, including quality grades, cloud maturity and work effort metrics.

4.

Act and verify

Prioritize remediation, feed context to AI agents via MCP, and verify changes through structural integrity gates before production.

The toolkit

See inside every application, govern every portfolio

CAST turns source code into dashboards, maps and call graphs that executives, technologists and AI agents can all act on.

1.

Interactive architecture maps

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

2.

Structural integrity gates

CAST Gatekeeper applies ISO 5055 rules to detect system-level flaws affecting security, resiliency and efficiency before changes reach production, and recommends remediation paths.

3.

Portfolio governance with facts

CAST Highlight grades technical debt, cloud maturity, open source risk and AI readiness across your whole portfolio, so priorities rest on evidence.

4.

AI and agentic readiness

An MCP server delivers verified architectural context to AI agents through a secure interface, reducing blind spots and unintended downstream impacts.

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, surface blockers early, and track progress with cloud maturity scoring.

7.

Plugs into your repositories

Connect GitHub, BitBucket and Azure DevOps directly, and link findings to your issue tracking systems.

8.

Green software insights

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

What teams see

What deterministic context delivers at scale

“CAST makes technical debt remediation at scale possible and boosts developer productivity 5x by equipping AI with deterministic architectural context.”
Marsh Case study - Marsh & McLennan
“CAST helped speed the modernization of 110 million lines of code by 4x across mainframe and distributed systems.”
Liberty Mutual Case study - Liberty Mutual
“CAST enabled IBM Consulting to ground AI in deterministic application context, translate buried business rules into plain English, and accelerate the modernization of a 40-year-old mainframe application.”
IBM Case study - IBM Consulting

Options

Tiered by portfolio size, not headcount

CAST Highlight annual subscriptions scale with the number of applications, regardless of how many developers you have. Each portfolio requires its own subscription.

Most used

CAST Highlight

from $20,000per year, 25 applications

Portfolio intelligence in three editions: Complete Insights, Cloud Insights and SCA Insights. Scales up to 1000 applications at $240,000 per year.

  • ✓ Technical debt, cloud maturity and OSS risk analysis
  • ✓ Three editions to match portfolio needs
  • ✓ Concierge services with dedicated specialists
  • ✓ SaaS or on-premises deployment
Book a call

CAST SBOM Manager

Freedownload

Software bill of materials management with open source component analysis.

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

CAST Imaging

Private offerannual license

Interactive application blueprints, licensed with volume discounts available on request.

  • ✓ Reverse-engineered visual blueprints
  • ✓ Volume discounts
  • ✓ On-premises or cloud deployment
Book a call

Good to know

Questions we hear from engineering and risk leaders

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 decisions rest on 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 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.

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 adding another agent to manage.

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.

Where can CAST be deployed?+

CAST is available as SaaS or on-premises. The MCP server is delivered as a Docker container or Windows extension, deployable on-premises or in the cloud.

Move forward

Put verified facts behind your next software decision

Book a call and see how CAST maps your applications and portfolios, from technical debt to cloud readiness.

Book a call