Agnost AI vs Proxon (2026)
A side-by-side comparison of Agnost AI and Proxon on pricing, features, and fit, so you can decide which is right for you.
Quick answer
Agnost AI and Proxon are both strong choices, but they fit different needs. Choose Agnost AI if you mainly need monitoring a customer support chatbot for signs of user frustration — its edge is no new instrumentation required, reducing setup friction significantly. 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. Agnost AI starts at Contact for pricing; Proxon starts at On request.
Features compared
- Production conversation analysis for chat and voice agents
- Automatic detection of rage-prompting and repeated rephrasing failures
- Zero-instrumentation setup reads existing conversations directly
- Automated PR generation to propose fixes for detected issues
- 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
- No new instrumentation required, reducing setup friction significantly
- Closes the loop from insight to fix by opening pull requests automatically
- Focuses specifically on conversational AI, giving deeper domain-specific insights
- Pricing is not public, making budget planning difficult without contacting sales
- Niche focus means it may not cover broader product analytics needs beyond chat and voice agents
- 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 Agnost AI if
you mainly need to monitoring a customer support chatbot for signs of user frustration. Its edge: no new instrumentation required, reducing setup friction significantly.
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 Agnost AI better than Proxon?
Neither is universally better. Agnost AI is stronger for monitoring a customer support chatbot for signs of user frustration, with an edge in no new instrumentation required, reducing setup friction significantly. 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, Agnost AI or Proxon?
Agnost AI starts at Contact for pricing and Proxon starts at On request. Free tier: Agnost AI — No public free tier; Proxon — No public free tier.
What is Agnost AI best for?
Agnost AI is best for monitoring a customer support chatbot for signs of user frustration, identifying recurring prompt failure patterns in a voice assistant, automatically generating code fix suggestions when agent failures are detected.
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 Agnost AI and Proxon have free plans?
Agnost AI: No public free tier. Proxon: No public free tier. Check each tool's pricing page for current limits, as plans change.