UsageGuard
PaidEnterprise-ready AI development and observability platform
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
Pros & Cons
- 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
- Pricing is contact-based and not transparent
- Dependency on AWS infrastructure for cloud deployment
- Relatively new platform with limited community adoption
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