Built for the team you have
You keep the expertise in-house. Our tools are meant to be run by the engineers and operators already on your team, not a research group you have to hire first.
We build tools for organizations that want to work efficiently with AI, so you don’t need to be a machine learning engineer or an LLM specialist to optimize your operations.
Benchmark any OpenAI-compatible model on your own tasks, and see which one is actually good enough to ship.
Explore RackorMIYou keep the expertise in-house. Our tools are meant to be run by the engineers and operators already on your team, not a research group you have to hire first.
Every number we show opens into the evidence behind it: the full transcript and the score that produced it.
Benchmark hosted APIs or models running on your own infrastructure. Rackor only sends prompts to the endpoints you connect.
RackorMI runs your own tasks against any OpenAI-compatible endpoint and reports pass rates you can defend. In practice, a smaller and cheaper model often holds up fine.
Teams adding AI to a workflow that already exists.
Engineers who need a defensible answer to “why this model?” before a rollout.
Operators watching inference spend and asking what a cheaper model would actually cost them in quality.
Connect an endpoint, run your own tasks, and see the numbers behind the choice.