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CAST Tech Stack

Software intelligence platform mapping code structure and technical debt at scale

Software Development New York, NY 201–500 employees Privately Held

CAST analyzes source code to generate dependency maps and health dashboards across application portfolios. The stack reveals heavy investment in AI/ML—GraphRAG, LangGraph, AutoGen, LangChain, Claude, Gemini—bundled with orchestration (Airflow) and NLP tools (spaCy, Hugging Face). Hiring is sales-heavy (8 of 13 active roles) with leadership emphasis (5 VP/director-level openings), signaling a shift toward enterprise GTM and customer success at scale.

Tech Stack 34 technologies

Core StackAWS Java Python Pandas Apache Airflow Hugging Face LangChain NetSuite GitHub Copilot VMware Active Directory Linux GraphRAG MCP LangGraph AutoGen PyArrow spaCy Claude Gemini Azure GCP Fortinet FortiGate Microsoft 365 Azure Entra ID Windows PowerShell Unix Shell
AdoptingAWS GCP

What CAST Is Building

Challenges

  • Reduce technical debt
  • Cloud migration & modernization
  • Manage open-source risk
  • Migrate to the cloud
  • Analysis paralysis
  • Modernizing applications
  • M&a due diligence
  • Reducing security vulnerabilities
  • Modernization challenges
  • Maintaining billing continuity

Active Projects

  • Cast adoption in aws field organizations
  • Cloud migration & modernization
  • Continuous application optimization on cloud
  • Proof-of-concept ai applications for technical debt, modernization, and cloud migration
  • Modernization managed cloud-native services
  • Ai-powered product development
  • Ai-powered product for application modernization
  • Ai-powered product for cloud migration
  • Pilots and assessments
  • Cast product configuration

Hiring Activity

Accelerating20 roles · 10 in 30d

Department

Sales
8
Engineering
3
Product
3
Data
1
Finance
1
Ops
1

Seniority

Senior
6
VP
5
Intern
2
Lead
2
Director
1
Mid
1

Notable leadership hires: Presales Director

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About CAST

CAST produces semantic analysis of codebases to surface technical debt, security vulnerabilities, modernization blockers, and cloud-readiness across enterprise software portfolios. The platform generates interactive 3D maps and dashboards targeting CIOs, engineering leaders, and enterprise architects making decisions on cloud migration, technical due diligence, and GenAI integration. The company operates across 201–500 employees from a New York base, with recent hiring velocity in India, France, and Canada. Active use cases span technical debt reduction, M&A due diligence, open-source risk management, and cloud migration readiness.

HeadquartersNew York, NY
Company Size201–500 employees
Hiring MarketsIndia, France, Canada

Frequently Asked Questions

What tech stack does CAST use?

CAST runs on AWS, Java, Python, and Apache Airflow for core infrastructure. AI/ML work uses GraphRAG, LangGraph, AutoGen, LangChain, Claude, and Gemini. NLP is handled by spaCy and Hugging Face. Multi-cloud presence includes Azure and GCP.

Where does CAST hire?

CAST actively recruits in the United States (New York headquarters), India, France, and Canada.

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