Choose the best AI model for your input in real-time to produce the most accurate outputs
Choosing the right AI model is trial and error.
- One model may generate better responses for one task, but fail on another.
- AI teams spend hours manually switching models, adjusting prompts, and testing responses, slowing—slowing down deployment and increasing costs.
-No easy way to compare LLM performance across your favorite or new models without running separate, costly experiments.