Solutions

Smart Routing

Cut AI Costs, Not Quality

Mentiora judges prompt complexity in real time and routes each request to the most efficient model without sacrificing performance.

Most companies waste their budget by routing every prompt, from simple greetings to complex reasoning, to the most expensive models. Mentiora changes that. We deploy specialized LLM-as-a-judge agents, calibrated specifically to your domain, to predict task difficulty and route requests to the optimal model. This ensures you stop overpaying for intelligence you don't need.

Where Mentiora Delivers Value

Optimize Token Economics
Mentiora identifies simpler queries and routes them to faster, cost-effective models (like Llama 3 or GPT-4o-mini), reserving your premium model budget strictly for complex reasoning tasks where deep intelligence is required.

Reduce Latency
Smaller models aren't just cheaper; they are significantly faster. By offloading routine traffic to lightweight models, Mentiora lowers the Time-to-First-Token (TTFT) and total response time for the majority of your user interactions.

Break Vendor Lock-in
Decouple your business logic from a single provider’s API. Mentiora provides a unified interface that allows you to switch between OpenAI, Anthropic, and open-source models instantly, optimizing for whoever currently offers the best price/performance ratio.

Measurable Impact

We translate technical routing into P&L improvements:

  • Token Spend: Stop paying the "Intelligence Premium" for basic tasks. Mentiora reduces your average cost per 1k tokens by optimizing your model mix without degrading user experience.

  • Latency (P95): Make your app feel faster. Routing appropriate tasks to smaller models drastically reduces wait times, improving the perceived speed of your application.

  • Quality Consistency: Built-in safety net. Unlike static gateways, Mentiora’s "Auto-Fallback" ensures that if a cheaper model struggles, the premium model steps in instantly to save the conversation.

Uptime & Reliability: Enterprise redundancy. If one provider experiences an outage, Mentiora automatically reroutes traffic to a backup provider, keeping your service strictly operational.

How it Works

1. Analyze (Proprietary LLM-as-a-judge) Precision classification before you pay. Before a prompt hits an LLM, Mentiora’s specialized "Gatekeeper Judge" scores its complexity. Unlike generic classifiers, our judges are custom-built on your specific data and edge cases, ensuring they understand exactly what constitutes "hard" or "easy" in your specific business context.

2. Route (Dynamic Selection) Match the model to the task. Based on the judge's score, we route the prompt to the most cost-effective model capable of solving it.

3. Verify (Auto-Fallback)Guarantee quality with outcome verification. If a smaller model is chosen but produces a low-confidence answer (detected by Mentiora’s output judges), the system automatically "falls back" and retries with a stronger model. The user never sees the failure, only the high-quality result.

Why Choose Mentiora

Low engineering lift, fast to adopt
We integrate with your existing stack and provide hands-on support so you see value quickly with minimal engineering effort on your side.

Secure by design
Supports deployment in your environment. Evaluation data is used only for your organization, with full transparency for audits and governance.

Superior Judge Engineering
Basic routers use generic keywords. Mentiora builds custom LLM-as-a-judge models tuned to your specific business logic, delivering vastly superior routing accuracy.

Not just a wrapper
We inspect the content and intent to make smart decisions, rather than just unifying billing.

Plug & Play
Compatible with OpenAI-standard SDKs. Change the base URL and start saving immediately.

Next Step

Let's run your historical logs through our simulator. We can analyze your last month of API traffic to show you exactly how much money you would have saved if Mentiora Smart Routing had been active, and how many requests could have been handled by cheaper models.