Why AI Catalyst?

Transparency & Control

Deploy open source AI models with complete security visibility—from AI Bill of Materials to audit trails that support compliance requirements. Our controlled inference stack helps reduce vulnerabilities and catch model-specific risks before they reach production.

Developer Efficiency

Gain enterprise governance with access to trusted LLMs from your private, self-hosted repository. Internal policy controls ensure developers can use the latest curated, organization-approved models, while quantized models help reduce inference costs and latency.

Runtime Optimization

Skip weeks of researching AI models across open source libraries. Compare benchmarked models, then deploy to your private cloud with GPU autoscaling or run locally on your desktop using the same secure API interface. Our optimization pipeline validates every model, so you can move from prototype to production faster.

What's Possible With AI Catalyst

Validate Before
Development​

Stop discovering vulnerabilities after development starts.

  • Access AI Bill of Materials with security scoring
  • Compare benchmarks across quantized versions
  • Review licensing and compliance documentation
  • Verify models against org policies
  • Cut research time from weeks to days

Deploy Across
Any Environment

Run the same model locally for testing or in your cloud for production.

  • Run locally for rapid development and testing
  • Deploy to your cloud with GPU autoscaling
  • Generate secure API tokens
  • Use unified endpoint interface
  • Reduce model size by up to 5x and optimize cost

Govern Without
Blocking Teams

Set policies once and automate compliance validation with models.

  • Set custom security and licensing policies
  • Automate compliance validation
  • Track complete audit trails
  • Store models in your private cloud with RBAC and SSO integration
  • Transform shadow AI into managed infrastructure

AI Catalyst Features

Model Catalog

Discover and access secure, vetted and approved open source LLMs and their AI Bill of Materials in a centralized environment.

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Model curation

Models auto-sourced, quantized, and benchmarked—then our team manually validates before publishing.

Model quantization

Models compressed up to 5x with minimal performance loss, optimized for flexible GPU or CPU deployment across environments.

Model inference

Deploy models to a private cloud with GPU autoscaling or locally on your desktop—same API interface for both paths.

See AI Catalyst in Action

See how AI Catalyst handles your specific AI model discovery, governance, and deployment challenges in a 30-minute personalized walkthrough.
Get a Demo