Proxon vs Replicas (2026)
A side-by-side comparison of Proxon and Replicas on pricing, features, and fit, so you can decide which is right for you.
Quick answer
Proxon and Replicas are both strong choices, but they fit different needs. Choose Proxon if you mainly 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. Choose Replicas if you need automating code generation and refactoring tasks using ai agents — its edge is eliminates local environment setup and hardware bottlenecks. Proxon starts at On request; Replicas starts at Pricing based on usage and compute time.
Features compared
- 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
- Cloud execution of Claude Code and OpenAI Codex agents
- Isolated cloud instances for reproducible dev environments
- No local setup required, works from any browser
- Support for long-running AI coding and automation tasks
Pros & cons
- 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
- Eliminates local environment setup and hardware bottlenecks
- Supports leading AI coding agents like Claude Code and Codex
- Accessible from any device with a browser
- Pricing can scale quickly with heavy compute usage
- Limited public documentation and community resources at this stage
The verdict
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.
Choose Replicas if
you mainly need to automating code generation and refactoring tasks using ai agents. Its edge: eliminates local environment setup and hardware bottlenecks.
Frequently asked questions
Is Proxon better than Replicas?
Neither is universally better. 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. Replicas is stronger for automating code generation and refactoring tasks using ai agents, with an edge in eliminates local environment setup and hardware bottlenecks. Pick based on your main task.
Which is cheaper, Proxon or Replicas?
Proxon starts at On request and Replicas starts at Pricing based on usage and compute time. Free tier: Proxon — No public free tier; Replicas — Limited free usage available for new users.
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.
What is Replicas best for?
Replicas is best for automating code generation and refactoring tasks using ai agents, running ai-assisted code reviews without local compute overhead, prototyping new software projects quickly with cloud-hosted coding agents.
Do Proxon and Replicas have free plans?
Proxon: No public free tier. Replicas: Limited free usage available for new users. Check each tool's pricing page for current limits, as plans change.