Choosing the right LLM for your project often feels like a gamble. Is the cheapest model good enough? Is the most powerful one too slow for your users? Flying blind is risky and can lead to runaway costs and poor performance.
Nomodo.ai replaces this guesswork with clarity. Our analytics suite is your data-driven co-pilot, giving you the hard numbers you need to compare models on cost, speed, and reliability, and choose the perfect AI for any task with confidence.
Go Beyond Price Tags to Find True Value
A low price-per-token doesn't mean a model is cost-effective. The real metric is how much useful output you get for your money. Our LLM Cost Efficiency dashboard shows you exactly that, highlighting which models deliver the most bang for your buck for your specific use case.
Ensure a Great User Experience with Speed and Reliability
A cost-effective model is useless if it's too slow or unreliable. Our analytics give you a complete performance picture.
- LLM Latency: Pinpoint which models respond the fastest to keep your application snappy and your users happy.
- API Errors: Monitor the stability of different providers and models over time, allowing you to build more resilient systems and avoid unreliable services.
Get Granular with a Complete Request History
When you need to understand exactly what happened, our Request History is your flight recorder. Drill down into any individual API call to see the original prompt, the side-by-side completions from each model, the precise token counts, the cost, and the latency. It's an indispensable tool for debugging, auditing, and optimising your prompts.
The Business Value of Clarity
A unified analytics platform is a strategic asset that empowers your team to:
- Save Money: By identifying and using the most cost-efficient models for each task.
- Improve Application Performance: By choosing models with the lowest latency and highest success rates.
- Reduce Financial Risk: By understanding cost drivers to forecast budgets accurately and avoid surprise invoices.
- Save Developer Time: By eliminating the manual work of debugging and comparing model performance.
Ready to replace guesswork with data?