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M1 by Montage vs Proxon (2026)

A side-by-side comparison of M1 by Montage and Proxon on pricing, features, and fit, so you can decide which is right for you.

Last updated: July 16, 2026

Quick answer

M1 by Montage and Proxon are both strong choices, but they fit different needs. Choose M1 by Montage if you mainly need building ai-native saas products with interfaces that respond to user intent autonomously — its edge is reduces the complexity of integrating agentic ai logic directly into front-end products. 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. M1 by Montage starts at Pricing available on request or via the get-started flow; Proxon starts at On request.

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M1 by Montage logo
M1 by Montage

Build scalable agentic UI that adapts to any demand.

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Proxon logo
Proxon

Full visibility and control over every AI tool in your organization.

PricingFreemium
PricingPaid
Starts atPricing available on request or via the get-started flow
Starts atOn request
Free tierFree tier available with limited usage and core features
Free tierNo public free tier
RatingNot yet rated
RatingNot yet rated
Best forBuilding AI-native SaaS products with interfaces that respond to user intent autonomously
Best forAuditing all AI applications in use across a large enterprise to identify shadow IT risks
Key strengthReduces the complexity of integrating agentic AI logic directly into front-end products
Key strengthProvides comprehensive visibility into both approved and unauthorized AI tool usage
Main drawbackLimited public documentation makes it harder to evaluate capabilities before signing up
Main drawbackPricing is not publicly available, making it difficult to budget without a sales conversation

Features compared

M1 by Montage

  • Agentic UI composition for building intelligent, action-taking interfaces
  • On-demand scalability to handle variable workloads without manual intervention
  • Workflow orchestration layer that connects UI actions to AI agent logic
  • Developer-friendly integration designed for production-ready SaaS and AI-native apps

Proxon

  • 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

M1 by Montage

Pros

  • Reduces the complexity of integrating agentic AI logic directly into front-end products
  • Scales on demand so teams do not need to over-provision infrastructure
  • Accelerates development of AI-native interfaces with pre-built agentic scaffolding

Cons

  • Limited public documentation makes it harder to evaluate capabilities before signing up
  • Pricing is not fully transparent upfront, requiring direct contact for detailed plan information

Proxon

Pros

  • 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

Cons

  • 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 M1 by Montage if

you mainly need to building ai-native saas products with interfaces that respond to user intent autonomously. Its edge: reduces the complexity of integrating agentic ai logic directly into front-end products.

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 M1 by Montage better than Proxon?

Neither is universally better. M1 by Montage is stronger for building ai-native saas products with interfaces that respond to user intent autonomously, with an edge in reduces the complexity of integrating agentic ai logic directly into front-end products. 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, M1 by Montage or Proxon?

M1 by Montage starts at Pricing available on request or via the get-started flow and Proxon starts at On request. Free tier: M1 by Montage — Free tier available with limited usage and core features; Proxon — No public free tier.

What is M1 by Montage best for?

M1 by Montage is best for building ai-native saas products with interfaces that respond to user intent autonomously, creating internal tools that automate multi-step workflows from a single ui, prototyping and scaling agentic features without building custom orchestration infrastructure.

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 M1 by Montage and Proxon have free plans?

M1 by Montage: Free tier available with limited usage and core features. Proxon: No public free tier. Check each tool's pricing page for current limits, as plans change.