Hopper vs Proxon (2026)
A side-by-side comparison of Hopper and Proxon on pricing, features, and fit, so you can decide which is right for you.
Quick answer
Hopper and Proxon are both strong choices, but they fit different needs. Choose Hopper if you mainly need understanding and documenting undocumented cobol programs — its edge is first agentic ai environment purpose-built for cobol and mainframe development. Choose Proxon if you need auditing all ai applications in use across a large enterprise to identify shadow it risks — its edge is provides comprehensive visibility into both approved and unauthorized ai tool usage. Hopper starts at Contact for pricing details; Proxon starts at On request.
Features compared
- Agentic AI reasoning over COBOL and mainframe codebases
- Automated code understanding, documentation generation, and refactoring suggestions
- Legacy-to-modern migration assistance with step-by-step guidance
- Integrated development environment tailored for mainframe workflows
- Automated discovery and inventory of all AI tools across an organization, including shadow AI
- Ownership assignment and policy binding per AI system
- Real-time spend tracking and budget attribution for each AI tool
- Centralized compliance and governance dashboard for IT and security teams
Pros & cons
- First agentic AI environment purpose-built for COBOL and mainframe development
- Reduces dependency on scarce COBOL expertise within organizations
- Accelerates modernization projects without requiring a full system rewrite
- Highly niche focus limits utility for teams not working with mainframe or COBOL
- Pricing and enterprise availability details are not fully transparent publicly
- Provides comprehensive visibility into both approved and unauthorized AI tool usage
- Directly links AI tools to owners, policies, and costs for clear accountability
- Designed specifically for enterprise security and IT governance workflows
- Pricing is not publicly available, making it difficult to budget without a sales conversation
- May require significant onboarding effort to fully integrate with existing IT infrastructure
The verdict
Choose Hopper if
you mainly need to understanding and documenting undocumented cobol programs. Its edge: first agentic ai environment purpose-built for cobol and mainframe development.
Choose Proxon if
you mainly need to auditing all ai applications in use across a large enterprise to identify shadow it risks. Its edge: provides comprehensive visibility into both approved and unauthorized ai tool usage.
Frequently asked questions
Is Hopper better than Proxon?
Neither is universally better. Hopper is stronger for understanding and documenting undocumented cobol programs, with an edge in first agentic ai environment purpose-built for cobol and mainframe development. Proxon is stronger for auditing all ai applications in use across a large enterprise to identify shadow it risks, with an edge in provides comprehensive visibility into both approved and unauthorized ai tool usage. Pick based on your main task.
Which is cheaper, Hopper or Proxon?
Hopper starts at Contact for pricing details and Proxon starts at On request. Free tier: Hopper — Limited access for individual developers exploring the platform; Proxon — No public free tier.
What is Hopper best for?
Hopper is best for understanding and documenting undocumented cobol programs, refactoring legacy mainframe code to reduce technical debt, assisting teams with partial or full migration away from mainframe systems.
What is Proxon best for?
Proxon is best for auditing all ai applications in use across a large enterprise to identify shadow it risks, enforcing ai usage policies and mapping each tool to a responsible owner, tracking and controlling ai-related software spend across business units.
Do Hopper and Proxon have free plans?
Hopper: Limited access for individual developers exploring the platform. Proxon: No public free tier. Check each tool's pricing page for current limits, as plans change.