Auriko - Trading desk for LLM calls, optimizing inference cost and performance.

What it does

Auriko is an AI control plane that acts as a trading desk for LLM calls. It treats LLM providers as trading venues and arbitrages the spread by routing each request to the optimal provider based on token price, cache behavior, latency, reliability, and request quality. The platform includes a unified API, cost optimization engine, predictive signals, routing strategies, global edge deployment, automatic failover, key orchestration, capacity intelligence, and budget controls.

Who it is for

Auriko is designed for developers and teams building AI applications that rely on multiple LLM providers. It is particularly suited for organizations that want to reduce inference costs, improve latency, and ensure reliability without changing their existing codebase. The platform supports popular frameworks like OpenAI Agents SDK, LangChain, Vercel AI SDK, LlamaIndex, and others.

Why it matters

LLM inference costs can vary significantly across providers, and managing multiple APIs is complex. Auriko automates cost optimization by modeling how each workload interacts with provider pricing and prompt-caching mechanics. It provides real-time signals on provider performance and health, enabling intelligent routing that can reduce costs by up to 30% while maintaining performance. The platform also offers automatic failover and capacity intelligence to ensure high availability.

Launch signal

Auriko is currently live with a public website and documentation. It offers a playground, model testing, and quickstart guides. The company is backed by ex-quant traders and has published evidence of 30% lower inference costs. Users can integrate by changing a few lines of code to point to Auriko's API endpoint.

Brand and naming

The name "Auriko" suggests a blend of "aura" (perhaps alluding to AI's intangible nature) and "riko" (evoking "rico" or rich, or a play on "arbitrage"). The tagline "Trading desk for LLM calls" clearly positions the product as a financial-trading-inspired optimization layer for AI inference. The brand emphasizes quantitative rigor and cost efficiency, appealing to engineering and finance-minded audiences.