Build AI systems driven by data, not guesswork. Benchmark model-algorithm combinations on your unique tasks.
Every task has a model and algorithm pairing that performs best. CRM workflows like routing, approvals, and trend analysis each demand different reasoning styles.
Optimizing both model selection and inference time compute strategy for each task produces higher accuracy at lower cost. Explore how the right combination improves performance on your specific workflows.
Submit your data and we run systematic evaluations across models and thinking algorithms to identify the combinations that perform best for your use cases. Your output is not a guess or a generic benchmark. It is a measurement of what works on your tasks, grounded in accuracy, cost, and latency results from real runs.
Different models excel at different reasoning patterns. Input test prompts and compare side-by-side performance using standardized evaluation frameworks like CRMArena-Pro and more.
Connect models, verifiers, and ITC strategies in a drag-and-drop editor. Inspect flow behavior in real time and run what-if experiments on cost, latency, and accuracy.
Submit your pipelines, compare results, and explore community tested recipes to accelerate collective progress in inference time compute.
Matching the algorithm to the model and task has huge performance gains.
Where do we go from here?
Algorithms should be chosen based on the task
