AI21

AI21 now describes itself as building AI systems for the enterprise, and what its site leads with is cost rather than a frontier model: a drop-in gateway endpoint that reduces token spend, routing that chooses between models based on your own traffic, tuning of small open models to reach acceptable quality on your workloads, and an optimiser that searches harness configurations against your private evaluations. The pitch is that naïve routing is not enough and that open models can explore while frontier models patch.

That is a different company from the one that sold the Jamba model family, and the entry records what the site says today rather than what the brand was known for. As an idea it is sound and unglamorous: most enterprise token bills are dominated by calls that did not need the most expensive model, and the honest way to reduce that is measurement on your own evaluations rather than a published price table. The two things to check are whether the router's decisions hold up on your traffic rather than on average, and how much of your evaluation data the tuning step requires, since that is the part that has to leave your building.