CAST Application Intelligence Platform (AIP), a result of over $130M in R&D investment over two decades, is an enterprise-grade software measurement and quality analysis solution designed to analyze multi-tiered, multi-technology applications for technical vulnerabilities and adherence to architectural and coding standards and then provide business relevant information to the IT organization through various dashboards and products built with end users in mind.

| Product | Mindshare (%) |
|---|---|
| CAST Application Intelligence Platform | 6.6% |
| SonarQube | 40.9% |
| Snyk | 33.3% |
| Other | 19.200000000000003% |
CAST’s underlying system-level analysis technology assesses both the health of an application, as measured through numerous health factors, as well as specific structural and system-level defects that drive performance and stability issues providing true system level analysis.
CAST Application Intelligence Platform was previously known as CAST AIP.
Steria, T-Systems MMS, Atos Origin, Accenture, Capgemini
| Author info | Rating | Review Summary |
|---|---|---|
| Chief Architect at Peristent Systems | 4.0 | I find CAST Application Intelligence Platform valuable for code health and security, especially its security dashboard. While rule coverage could improve and initial setup is complex, it's a stable, scalable solution with good support, offering strong ROI. |
| Senior Consultant at a consultancy with 51-200 employees | 3.5 | I find CAST AIP valuable for quality metrics and application security, especially with its effective risk and security flow detection capabilities. However, improvement is needed in supporting complex environments and enhancing technical support for organizational and engineering challenges. |
| Technical Associate Manager at Accenture | 4.0 | I use CAST for quality improvement and client cloud migration. It's a stable solution, but integration could improve. Customer service analyzes issues extensively before providing solutions. Overall, I rate it eight out of ten. |
| Technical Architect at a tech services company with 1,001-5,000 employees | 2.5 | I am implementing this solution for static code analysis to control technical debt and code quality. While it supports many programming languages, I find the setup complex and it lacks repository plugins, requiring manual source code feeding. |