usageguard
UsageGuard is an enterprise-ready platform for building, deploying, and monitoring AI applications that centralizes development, observability, security/compliance, and cost management with a single unified API supporting multiple LLM providers.
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Quick Overview
Best for: Software & Gaming
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
Best fit
Software & Gaming
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usageguard
UsageGuard is a platform designed to unify AI development, observability, security, and cost management for enterprises. It provides a single unified endpoint and API to access multiple LLM providers and models, plus features for document processing, agents (beta), monitoring, governance, and spend control. The platform is positioned as model-agnostic and enterprise-ready, offering deployment options including private cloud and on-premise air-gapped deployments and regional availability on AWS in US, Europe, and the Middle East. UsageGuard highlights enterprise capabilities such as SOC2 Type II and GDPR compliance, 24/7 enterprise support with SLAs, and metrics like 99.9% uptime, reduced costs, and low latency.
Platform for building and monitoring AI applications with security, cost control, and tracking.
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Single unified endpoint
One API that provides access to multiple AI models and providers so you can switch providers without changing application code.
Model agnostic integrations
Support for major providers and models including OpenAI (GPT), Anthropic (Claude), Meta Llama, Mistral, Google Gemini and more, all accessible through the same interface.
Real-time streaming
Supports fast, reliable real-time streaming responses for inference workloads.
Request monitoring & observability
Monitoring, logging, tracing and metrics to track performance, usage patterns, and gain real-time insights into AI operations.
Session management
Stateful conversation and session management for building conversational applications.
Document processing & Enterprise RAG
Capabilities for building applications that use documents and retrieval-augmented generation (RAG).
Agents (Beta)
Tools to build and deploy autonomous agents (noted as Beta).
Security & governance
Content filtering, PII protection, prompt sanitization, customizable security policies, and enterprise compliance controls.
Cost control & spend management
Usage tracking, budget controls, and automated tools to optimize AI spend.
Flexible deployment
Options to deploy on customer infrastructure (private cloud), on-premise with air-gapped deployment, and regional AWS deployments.
Pricing
Claim this listing to add current pricing tiers.
Use Cases
Enterprise AI development
Build intelligent applications using a single endpoint to access multiple LLMs, with support for documents and agents.
Observability & monitoring
Monitor AI system performance, track usage patterns, and get real-time analytics and debugging tools for AI operations.
Security and compliance
Apply security policies, content filtering, PII protection, and governance controls to ensure enterprise compliance (SOC2 Type II, GDPR).
Cost optimization
Track usage, set budgets, and control spending across models and providers to reduce AI costs.
Multi-provider inference
Switch between LLM providers and models without changing application code to balance cost, performance, and capabilities.
Private & on-premise deployments
Deploy in private cloud or air-gapped on-premise environments to maintain data residency and infrastructure control.
Integrations
OpenAI (GPT models)
Access OpenAI models through UsageGuard's unified API endpoint.
Anthropic (Claude models)
Use Anthropic Claude models via the same unified interface.
Meta Llama
Support for Meta Llama models as part of the multi-provider integrations.
Mistral
Mistral models listed among supported providers.
Google Gemini
Google Gemini included in the list of supported model families.
AWS (regional deployment)
Deploy UsageGuard on AWS infrastructure across US, Europe, and Middle East regions for performance and data residency.
Benefits
Limitations
Frequently Asked Questions
How does UsageGuard work?
Which LLM providers does UsageGuard support?
Will I need to change my existing code to use UsageGuard?
Can I use multiple LLM providers through UsageGuard?
Does using UsageGuard affect performance?
Can UsageGuard prevent prompt injection attacks?
Can I customize security policies for different projects or teams within my organization?
How does UsageGuard ensure the privacy of our data?
How can I get support if I encounter issues?
Getting Started
- 1 Request a demo or sign up to access UsageGuard and enterprise offerings.
- 2 Obtain your UsageGuard API key and connection ID (referenced in the quickstart guide in the docs).
- 3 Update your application to point its API endpoint to UsageGuard and include your API key and connection ID.
- 4 Configure connections, security policies, usage limits, and model/provider selections for projects or teams.
- 5 Deploy and monitor usage with the platform's observability and spend management tools.
Support
The site indicates you can email the support team if you can't find what you're looking for (no explicit email address shown on the page).
enterprise support (24/7)
24/7 enterprise support with guaranteed SLAs is offered for enterprise customers; request an enterprise demo to engage.
docs
Documentation and a quickstart guide are referenced on the site for setup and integration instructions.
status page
A status page and troubleshooting guide are mentioned for checking known issues and system status.
API
Docs and quickstart guides are referenced on the site for API usage, including instructions to update your endpoint and include an API key and connection ID.
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