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

Your AI agent is coding blind

AI writes code fast, but it cannot see the architecture it is changing. CAST hands agents a deterministic map of every object, dependency, and data path, so complex changes land with less rework and risk.

See how CAST grounds your AI workflows in verified software facts.

Features

See inside your software

CAST reverse engineers applications into interactive blueprints and portfolio-wide intelligence.

I

Application blueprints

CAST Imaging turns an entire application into an interactive visual map of code objects, data structures, frameworks, and dependencies.

II

Portfolio governance

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

III

AI agent context via MCP

A secure MCP server feeds agents architectural graphs, call paths, transactions, and dependency data, delivered as a Docker container or Windows extension.

IV

Structural integrity gates

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

V

SBOM management

Generate and manage software bills of materials, with open source security and license risk detection built in.

VI

Cloud migration paths

Identify the best candidates for migration, surface blockers, and track progress toward cloud readiness.

VII

Tech debt prioritization

Pinpoint the small share of code driving most production issues and get recommended remediation paths.

VIII

Concierge services

Every annual subscription includes access to dedicated specialists who help you act on the analysis.

Trusted by teams at

Liberty MutualMarsh & McLennanUBSADPUS Air ForceIBMMicrosoftAccenture

Your path

From source code to grounded intelligence

A clear path from first step to measurable outcome.

I

Connect your repositories

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

II

Run semantic analysis

The engine builds a deterministic map of objects, dependencies, transactions, data flows, and cross-application relationships.

III

Feed context to people and AI

Executists, engineers, and MCP-compatible AI agents get dashboards, call graphs, and object-level detail through a secure interface.

IV

Act with confidence

Prioritize remediation, clear cloud blockers, extract business rules, 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 cloud-native
25+ yrsSoftware intelligence dataset behind every analysis

Proof

What leading teams achieved

“CAST makes technical debt remediation at scale possible, boosting developer productivity 5x by equipping AI with deterministic architectural context.”
Marsh Case study - Marsh
“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 and accelerate the modernization of a 40-year-old mainframe application.”
IBM Consulting Case study - IBM

Compare

AI agents alone vs AI with CAST

AI + CASTAI agents alone
Factual map of real objects and dependencies✓×
Cross-application and cross-technology visibility✓×
Change-impact analysis grounded in verified facts✓×
ISO 5055 structural flaw detection✓×
Works with your existing AI tools✓✓

Common questions

Questions, 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 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 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 the agent both a high-level understanding 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.

Next step

Give your AI the map it is missing

Book a call and see how CAST turns your source code into the deterministic context your teams and agents need.

Book a call