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UsageGuard

Paid

Enterprise-ready AI development and observability platform

Type
Saas
Company
UsageGuard

About UsageGuard

UsageGuard is a platform designed for building and monitoring AI applications. It provides AI security, cost control, and usage tracking. It allows access to open-source and third-party AI models, including OpenAI, Meta, and Anthropic, with built-in safeguards, moderation, cost control, end-user, and usage tracking. It offers features like a unified API for all AI models, real-time streaming, session management, and enterprise-grade security.

How to Use

Integrate UsageGuard with your application by updating your API endpoint to point to UsageGuard, including your API key and connection ID in your unified inference requests. This allows you to access various AI models through a single API and manage security policies.

Key Features

  • AI Security
  • Cost Control
  • Usage Tracking
  • Unified API for multiple LLMs
  • Real-time Monitoring and Analytics
  • Enterprise-grade Security and Compliance

Use Cases

  • Building AI applications with access to multiple AI models through a single endpoint.
  • Monitoring AI application performance and tracking usage patterns.
  • Implementing security controls and compliance tools for AI applications.
  • Optimizing AI costs by tracking usage and setting budgets.

Key Features

AI Security
Cost Control
Usage Tracking
Unified API for multiple LLMs
Real-time Monitoring and Analytics
Enterprise-grade Security and Compliance

Pros & Cons

Pros
  • 99.9% uptime guaranteed
  • 45% cost reduction reported by customers
  • 150ms low latency for inference
  • Simple integration: update API endpoint and API key
  • Model agnostic – supports OpenAI, Anthropic, Meta, Mistral, Google Gemini and more
  • Enterprise-grade security with SOC2 Type II and GDPR compliance
  • Flexible deployment: cloud, private cloud on AWS, or on-premise
  • Global availability across multiple AWS regions for performance and data residency
Cons
  • Pricing is contact-based and not transparent
  • Dependency on AWS infrastructure for cloud deployment
  • Relatively new platform with limited community adoption

Best For

Building AI applications with access to multiple AI models through a single endpoint.Monitoring AI application performance and tracking usage patterns.Implementing security controls and compliance tools for AI applications.Optimizing AI costs by tracking usage and setting budgets.

Alternatives to UsageGuard

FAQ

How does UsageGuard work?
UsageGuard acts as a middleware layer between your application and AI model providers. You integrate by updating your API endpoint to point to UsageGuard, including your API key and connection ID in your unified inference requests. It then routes requests to the desired model while applying security policies, cost controls, and monitoring. The platform provides a single unified endpoint for all supported AI models, real-time streaming, session management, and complete observability.
What AI models does UsageGuard support?
UsageGuard supports OpenAI (o1, GPT-4o, GPT-4o-mini), Anthropic (Claude 3.5 Sonnet v2, Claude 3.5 Haiku), Meta (Llama 3.2), Mistral, Google Gemini, and more. It is model agnostic, allowing you to switch between providers without changing your code.
What deployment options are available?
UsageGuard offers cloud deployment on AWS across US, European, and Middle East regions, as well as private cloud (deploy in your own AWS environment) and on-premise (air-gapped deployments in your own data centers).
Is UsageGuard compliant with security standards?
Yes, UsageGuard is SOC2 Type II and GDPR compliant, providing enterprise-grade security controls including content filtering and PII protection.