Salesforce opens Koa CRM model pilot built on Nvidia Nemotron

Salesforce and Nvidia launched Koa, a reasoning model for Salesforce’s Agentforce platform, to select pilot customers. Those customers can test the model on multistep CRM work before Salesforce’s planned general availability in U.S. regions in Winter 2026. The company has not disclosed an exact release date, pricing, packaging or service limits in the opened sources.

Salesforce’s launch release says it created Koa by post-training Nvidia’s Nemotron 3 Super on a proprietary synthetic dataset modeled on knowledge from nearly three decades of CRM deployments. The release says the scenarios covered reasoning, tool use and decision-making in CRM workflows across more than 14 industries, and that no customer data was used. A Salesforce research paper likewise says no customer data was used, but describes Koa’s training data more broadly as public and synthetically generated rather than entirely synthetic.

Post-training adapts an existing model to a narrower set of tasks after its initial training. Salesforce’s launch release says it applied supervised fine-tuning and reinforcement learning using Group Relative Policy Optimization, supported by Nvidia’s NeMo RL, NeMo Gym and NeMo AutoModel tools. The research paper instead identifies the foundation as Nemotron-3-Super-120B and says the final Koa model was built by applying GRPO directly to the base model; it describes supervised fine-tuning as a preliminary comparison rather than part of the final training recipe.

Salesforce says it controls Koa’s model weights and conducts post-training and inference inside its own trust boundary. The company also says Koa runs on Salesforce infrastructure and customer data does not cross that boundary during inference. These statements were not independently tested in the opened sources.

Salesforce’s launch release claims Koa matched or exceeded leading models on its CRM Benchmark while making three times fewer errors. The company’s research paper reports an overall CRM Bench score of 0.86 for Koa, below GPT-5.5 at 0.90 and Opus 4.8 at 0.87, but above GPT-4.1 at 0.81 and the Nemotron base at 0.84. Those published results do not show Koa matching or exceeding every listed leading model overall, and the paper does not identify a comparison that produces the release’s three-times-fewer-errors figure.

Nvidia describes Nemotron 3 Super as an open mixture-of-experts hybrid Mamba-Transformer model with 120 billion total parameters and 12 billion active parameters. In a mixture-of-experts system, only a subset of the model’s components is activated for a given task, reducing the computation used for each input compared with activating the full model.

Salesforce named 1-800Accountant, Baxter Credit Union, Engine, Formula 1, UChicago Medicine and Xero among the organizations entering Koa pilots. The opened sources did not provide independently measured pilot results or verified customer-impact outcomes.