Software intelligence platform for application modernization and portfolio governance
CAST analyzes source code to produce 3D maps and dashboards that help enterprises navigate technical debt, modernization, and cloud migration decisions across their application portfolios. The tech stack—Python, PostgreSQL, Kubernetes, plus emerging AI/ML tools like GraphRAG, LangGraph, and AutoGen—reveals a shift toward AI-assisted code transformation; active projects confirm this direction, with multiple initiatives focused on AI-driven modernization and .NET-to-Java migration.
CAST provides software intelligence through semantic analysis of source code, producing visual maps and reporting dashboards for enterprise software portfolios. The platform targets executives and technology leaders managing modernization initiatives, technical debt remediation, cloud migration, and open-source risk assessment. The company operates across mid-market and enterprise accounts, with consulting services complementing the core software intelligence product. Active hiring across sales, engineering, and consulting suggests expansion in both customer acquisition and delivery capacity.
CAST runs on AWS, Azure, and GCP cloud platforms, with PostgreSQL and Oracle for data, Kubernetes for orchestration, and Python with Pandas, PyArrow, Apache Airflow, and Hugging Face for AI/ML pipelines. Emerging tools include GraphRAG, LangGraph, and AutoGen.
CAST is headquartered in New York, NY, and is currently hiring in India as well.
CAST's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.