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Proxon vs Spectron (2026)

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

Last updated: July 16, 2026

Quick answer

Proxon and Spectron 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 Spectron if you need building long-memory ai assistants that recall past user preferences and conversations — its edge is built on surrealdb providing a flexible and battle-tested database layer. Proxon starts at On request; Spectron starts at Pricing available upon request or based on SurrealDB Cloud plans.

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Proxon logo
Proxon

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

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Spectron logo
Spectron

Reliable persistent memory infrastructure built for AI agents.

PricingPaid
PricingFreemium
Starts atOn request
Starts atPricing available upon request or based on SurrealDB Cloud plans
Free tierNo public free tier
Free tierFree tier available for development and small-scale use
RatingNot yet rated
RatingNot yet rated
Best forAuditing all AI applications in use across a large enterprise to identify shadow IT risks
Best forBuilding long-memory AI assistants that recall past user preferences and conversations
Key strengthProvides comprehensive visibility into both approved and unauthorized AI tool usage
Key strengthBuilt on SurrealDB providing a flexible and battle-tested database layer
Main drawbackPricing is not publicly available, making it difficult to budget without a sales conversation
Main drawbackRelatively new platform with limited community resources and third-party tutorials

Features compared

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

Spectron

  • Persistent agent memory storage backed by SurrealDB multi-model database
  • Semantic and structured query support for accurate memory retrieval
  • Real-time data access for low-latency agent interactions
  • Developer-friendly APIs and SDKs for easy integration into agentic pipelines

Pros & cons

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

Spectron

Pros

  • Built on SurrealDB providing a flexible and battle-tested database layer
  • Supports both semantic and structured queries giving developers granular control over memory
  • Designed specifically for agentic use cases reducing the need for custom memory workarounds

Cons

  • Relatively new platform with limited community resources and third-party tutorials
  • Tight coupling with SurrealDB may limit flexibility for teams already committed to other databases

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 Spectron if

you mainly need to building long-memory ai assistants that recall past user preferences and conversations. Its edge: built on surrealdb providing a flexible and battle-tested database layer.

Frequently asked questions

Is Proxon better than Spectron?

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. Spectron is stronger for building long-memory ai assistants that recall past user preferences and conversations, with an edge in built on surrealdb providing a flexible and battle-tested database layer. Pick based on your main task.

Which is cheaper, Proxon or Spectron?

Proxon starts at On request and Spectron starts at Pricing available upon request or based on SurrealDB Cloud plans. Free tier: Proxon — No public free tier; Spectron — Free tier available for development and small-scale use.

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 Spectron best for?

Spectron is best for building long-memory ai assistants that recall past user preferences and conversations, powering multi-agent workflows where agents share and access a common memory store, creating autonomous ai agents that need reliable fact and context persistence across sessions.

Do Proxon and Spectron have free plans?

Proxon: No public free tier. Spectron: Free tier available for development and small-scale use. Check each tool's pricing page for current limits, as plans change.