Use Cases Built from Features
Combine AI Gateway features to make AI systems more reliable, controlled, observable, and adaptable.
One gateway, every team
For Startups
Ship AI features faster without infrastructure overhead
You're moving fast and can't afford to build routing, caching, and monitoring from scratch. AI Gateway handles the infra so you can focus on your product.
- Go from idea to production in minutes, not weeks
- Switch providers without changing a line of code
- Start free, scale to millions of requests
- Built-in cost optimization with semantic caching
For Enterprise
Production-grade AI infrastructure with compliance built in
You need reliability, security, and observability at scale. AI Gateway provides a clear enterprise SLA roadmap, zero-trust security, and dedicated support for mission-critical AI.
- Enterprise SLA roadmap with multi-region failover
- SOC 2 Type II audit in progress (H2 2026)
- SSO, RBAC, and audit logging
- Dedicated account manager & 24/7 support
For AI Teams
Experiment faster with centralized model management
Your team evaluates dozens of models across providers. AI Gateway gives you A/B testing, prompt management, and cost tracking — all in one place.
- A/B test models with statistical rigor
- Version and deploy prompts without code changes
- Per-team cost attribution and budgets
- Shared model registry across the org
How Teams Use AI Gateway
Each use case combines existing AI Gateway features into a practical operating pattern.
High Availability
Keeps AI requests flowing when a provider is slow, failing, or unavailable by rerouting traffic and isolating unhealthy providers.
Cost Control
Reduces spend by caching repeated requests, routing to cheaper models, and enforcing key-level limits.
Model Rollouts
Lets teams test, shift, and roll back model traffic without changing application code or redeploying.
Centralized Access
Gives teams one controlled gateway for provider access, key management, quotas, and usage visibility.
Safe Requests
Applies security checks before requests reach providers, helping block unsafe inputs, secrets, PII, and oversized prompts.
Agent Workflows
Connects AI apps and IDEs to provider-backed tools through MCP while keeping tool use controlled and observable.
What You Can Build With It
AI Gateway supports many AI-powered products and workflows. Use these patterns as starting points, not limits.
AI Chatbots
Route conversations across providers with fallbacks, caching, and observability.
RAG Pipelines
Manage embedding and generation calls through consistent routing and monitoring.
Content Generation
Test models, control cost, and track quality across generation workflows.
Code Assistants
Connect fast models, guardrails, and MCP-backed tools for developer workflows.
Creative AI
Route high-volume generation workloads across available providers.
Enterprise Agents
Combine MCP, guardrails, rate limits, and observability for multi-step agents.
Ready to choose your path?
Choose the path that matches your team: managed cloud for product teams, OSS for developers, or enterprise review for larger rollouts.