Making AI smarter

Unleashing AI on existing code with the critical context it needs

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Free AI from its limitations

IT pros are struggling to use AI on large, complex software applications -- especially those over one million lines of code. The humans aren’t doing anything wrong. As probabilistic technologies, LLMs can’t ‘guess’ their way to the facts they need to understand custom enterprise software.

Give your AI the context it needs

Just like people, AI needs a map to effectively make changes to complex applications. CAST Imaging provides this context by deterministically mapping internal software structures. Using standard MCP, your tool or agent can access precise graphs of all objects, properties, and links—explicit and hidden—across code, data, and frameworks.

“A process that would’ve taken months was cut to a few minutes."

Paul Beswick, COO & CIO of Marsh McLennan

AI for code understanding

Application demystification

Application demystification

CAST maps all data elements, objects, and their dependencies, enabling AI to provide accurate explanations of how the application is built and how it works.

Business rule extraction

Business rule extraction

CAST feeds AI deterministic call graphs tracing every path across all layers, resulting in high-accuracy rules extraction with minimum human intervention.

Change impact analysis

Change impact analysis

With context from CAST, AI sees the full ripple effects of a code change, avoiding breakage and offering safer alternatives when the change impact is too broad.

AI for software improvement

Tech debt reduction

Tech debt reduction

CAST maps every dependency and all critical structural flaws—so AI can target, remediate, and test the debt that matters most, with minimal human help.

Cloud blocker removal

Cloud blocker removal

CAST exposes what slows cloud migration and how to fix it. With this intelligence, AI delivers faster cloud optimization with fewer surprises and less manual rework.

Test data generation

Test data generation

AI alone guesses relationships, producing test data that can miss rules and edge cases. CAST reveals the true data model, including keys, flows, and business rules.

AI for application transformation

Identifying candidates for microservices

Identifying candidates for microservices

CAST extracts call graphs and determines coupling patterns for AI to detect clusters, and define reliable service boundaries for precise, safe, and fast transformation.

Framework, component, database replacement

Framework, component, database replacement

CAST deterministically maps all direct and indirect dependencies, giving AI the context it needs to update all affected elements safely, with minimal human help.

Modernization in place or for cloud

Modernization in place or for cloud

CAST provides the precise context AI needs to accurately understand and safely transform code – from mainframe systems to .NET/Java applications moving to cloud.

How it works

CAST Imaging maps the context

Through semantic analysis, deterministically maps the insides of software applications, built with any mix of 150+ technologies, into precise call graphs that capture:

MCP server feeds the AI

Running on top of CAST Imaging, the MCP server is delivered as a Docker container to run on premise or in the cloud. It provides tools and functions to AI agents such as:

  • List of applications
  • Application statistics
  • Cross-app dependencies
  • Internal architectural graphs
  • Transactions, data graphs, packages
  • Object details, interactions, call graphs
  • Source details, low level dependencies
How it works
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