Unified API for AI models with security, cost control, and observability. Deploy anywhere with confidence.
UsageGuard is a comprehensive platform for building, monitoring, and managing AI applications. It provides a unified API to access multiple LLM providers (OpenAI, Anthropic, Meta, etc.) with built-in security, cost control, usage tracking, and observability. Features include prompt management, content filtering, PII protection, session management, and real-time analytics. Deployable via private cloud, on-premise, or AWS regions.
check_circlePrivate cloud and on-premise deployment
check_circleMulti-region AWS deployment
check_circle99.9% uptime SLA
check_circleDedicated enterprise support
check_circlePrompt injection prevention
Use Cases
lightbulbEngineering teams integrate a single API endpoint to switch between OpenAI, Anthropic, and open-source models without code changes, reducing vendor lock-in and development time.
lightbulbSecurity officers enforce content moderation and PII redaction on all LLM requests, ensuring compliance with enterprise data privacy policies.
lightbulbFinance managers set per-project budget limits and receive real-time cost alerts, preventing unexpected AI spend across departments.
lightbulbProduct teams monitor latency, error rates, and usage patterns per model to optimize performance and choose the most cost-effective provider.
lightbulbDevOps teams deploy UsageGuard in their own AWS account with data residency controls, meeting regulatory requirements for sensitive data.
lightbulbCustomer support teams build AI agents with session management and context retention, delivering consistent and personalized user interactions.
lightbulbData scientists experiment with multiple LLMs via a unified playground, comparing outputs and costs before selecting the best model for production.
