What is Auriko AI?
Auriko AI a cache-aware LLM inference and routing platform that offers a unified API for accessing multiple model providers.It supports OpenAI-compatible drop-in integration and providers such as OpenAI, Anthropic, Google AI Studio, Deepseek, DeepInfra, Minimax, Moonshot AI, z.
ai, SiliconCloud, Fireworks, and Together.ai.Core features include cost-optimized routing that accounts for provider pricing and prompt-caching behavior, predictive signals for real-time provider performance and cache effectiveness, and configurable routing objectives for cost, latency, and throughput.
The platform provides global deployment with distributed edge routing, automatic failover, and per-request redundancy to maintain availability and reduce latency.Orchestration features include API key management, bring-your-own-key (BYOK) support, capacity intelligence across providers, and access to a global capacity reserve.
Developer tooling and SDKs enable integration via Python, TypeScript, and curl, and interoperability with LangChain, Vercel, LlamaIndex, and other ecosystem tools.Workspace controls support budgets, alerts, routing strategies, structured output, and production-grade experimentation workflows.
Auriko AI pricing Subscription
Verify on the official pricing page.
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Auriko AI's key features
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Cache-aware LLM inference and routing
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Unified API for accessing multiple model providers with OpenAI-compatible drop-in integration
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Cost-optimized routing that accounts for provider pricing and prompt-caching behavior
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Predictive signals for real-time provider performance and cache effectiveness, with configurable routing objectives (cost, latency, throughput)
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Global deployment with distributed edge routing, automatic failover, and per-request redundancy
Auriko AI use cases
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Create a globally low-latency customer support chatbot using Auriko's cache-aware routing and global edge routing to serve cached responses near users, reduce inference cost and latency, and provide per-request redundancy failover for high availability
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Implement a compliant, high-availability LLM inference pipeline for enterprise workflows using Auriko's BYOK and API key management combined with multi-provider model routing and predictive provider performance to ensure encryption, automatic failover, and consistent SLA adherence
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Optimize large-scale content generation and analytics by leveraging Auriko's predictive cache, cost-optimized model routing across providers, and unified API/SDKs to cut inference spend, increase throughput, and integrate seamlessly with existing tooling
Who is it for?
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Mlops engineers
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Backend developers
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Saas product teams
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Startup founders
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Enterprise engineering teams
