The missing infrastructure layer for AI-powered SaaS products. Multi-tenant architecture, usage-based billing, and enterprise-grade reliability – without the enterprise complexity.
Every feature designed for production SaaS workloads. From startup to enterprise, the same infrastructure scales with you.
Complete request isolation between tenants. Per-tenant rate limits, quotas, and usage tracking. Your customers' data never mixes, even at scale.
Track every token, every request, every model. Export detailed usage data to your billing system. Support for tiered pricing, overages, and custom contracts.
Route requests to the optimal model based on cost, latency, and capability. Automatic failover when providers experience issues. Your users never see downtime.
Per-tenant dashboards showing usage patterns, costs, and performance. Export metrics to your observability stack. Alert on anomalies before they become problems.
Three layers that handle everything between your application and AI providers.
Your code makes standard API calls. No provider-specific SDKs, no vendor lock-in. Switch providers without changing application code.
Request routing, caching, rate limiting, and usage tracking. Tenant isolation and security. Real-time analytics and cost optimization.
OpenAI, Anthropic, Google, Meta, and dozens more. The gateway handles provider-specific APIs, so your application doesn't have to.
Turn API costs into revenue with flexible billing models.
Charge customers per token used. Support different rates for different models. Pass through provider pricing or set your own margins.
Include AI usage in subscription tiers. Higher tiers get more tokens, better models, or priority routing. Upsell power users automatically.
Add your margin on top of provider costs. Bundle AI with your core product. The gateway tracks exact costs so you always know your margin.
One API endpoint. One SDK. All AI providers. Your application code stays clean and provider-agnostic.
Real metrics from SaaS products running on production AI gateways.
How successful SaaS products integrate AI with production gateways.
A content creation SaaS offers AI writing assistance to thousands of users. The gateway provides per-user rate limiting, content moderation, and usage tracking. Users on higher tiers get access to more capable models. The platform tracks token usage in real-time and bills customers monthly based on actual usage.
A helpdesk platform embeds AI-powered response suggestions. The gateway routes simple queries to fast, cheap models and complex questions to premium models. Usage is tracked per organization, enabling accurate billing. Automatic caching reduces costs for common questions by 60%.
An IDE plugin offers AI code completion. The gateway provides low-latency streaming responses, handles provider failures gracefully, and tracks usage per developer. Enterprise customers get dedicated model access and custom fine-tuned models through the same gateway.
Build weekend projects with AI using practical guides, budget breakdowns, and rapid prototyping strategies.
Accelerate LLM research with model comparison, cost tracking, and systematic experimentation workflows.
Enterprise-grade solutions with advanced security, compliance, and multi-tenant architecture.
Consumer-facing applications with high throughput, real-time analytics, and optimized costs.