Salesforce (CRM) and Nvidia (NVDA) have introduced Koa, a reasoning model tailored for CRM workflows, marking a significant step in Salesforce's AI strategy. The model, built on Nvidia's open-weight Nemotron 3 Super foundation, is now being tested by select Agentforce pilot customers. This collaboration aims to enhance Salesforce's control over its AI infrastructure while leveraging Nvidia's expertise in model development.
Koa's Role in Agentforce
Koa is designed to handle complex, multi-step CRM tasks such as qualifying sales opportunities, determining next actions in service cases, and orchestrating tools across workflows. By integrating Koa into Agentforce, Salesforce seeks to improve efficiency and decision-making within its platform. The model is currently available to a limited group of pilot users, with general availability planned for U.S. regions in winter 2026.
The announcement, made at Dreamforce on Tuesday, generated a muted response from investors. Salesforce shares traded at $253.08 on Wednesday morning, roughly 1% below Tuesday's close. This cautious reaction is understandable, as the company has not disclosed pricing, revenue projections, or the number of signed customers for Koa.
Technology and Partnership
Koa is not trained from scratch; instead, Salesforce post-trained Nvidia's open-weight Nemotron 3 Super model using public data and synthetic enterprise scenarios derived from 27 years of CRM deployments. Importantly, no customer data was used in training, addressing potential privacy concerns. This approach gives Salesforce ownership of the model's weights and allows it to run Koa within its own infrastructure, which is attractive to customers with strict data-residency and governance requirements.
Nvidia's contribution extends beyond the base model. Salesforce utilized Nvidia's NeMo RL, NeMo Gym, and NeMo AutoModel software for supervised fine-tuning and reinforcement learning. This partnership provides Nvidia with another avenue for Nemotron adoption in enterprise software, though specific financial terms, such as GPU purchases or revenue sharing, were not disclosed.
Performance and Trade-offs
A technical paper submitted by Salesforce researchers highlights Koa's strengths in multi-turn tool use, where it outperforms the base model. It also surpasses a strong proprietary baseline but falls short of the most advanced frontier models. This suggests a practical trade-off: a specialized, controllable model may be sufficient for bounded CRM tasks even if it doesn't achieve top scores on broader reasoning benchmarks.
The commercialization potential of Koa is still uncertain. Salesforce has reported strong momentum for Agentforce, with annual recurring revenue exceeding $1.5 billion in the July quarter, up over 240% year-over-year. Combined with Data 360, ARR reached nearly $3.9 billion, against total quarterly revenue of $11.3 billion. However, these figures reflect overall platform demand, not specifically Koa. The Agentforce ARR definition includes multiple AI offerings, Slackbot, and Headless 360, so it cannot be used as a direct proxy for Koa's revenue.
Koa could improve Agentforce economics if its specialized design reduces reliance on costly calls to external frontier models, but no inference-cost comparisons were provided. The biggest challenge lies in customer adoption. Enterprises may prefer established frontier models for complex or unusual cases, and Salesforce already routes work among multiple providers. Koa must demonstrate that its CRM specialization delivers reliable, completed actions, not just competitive benchmarks, without adding governance complexity.
Future Outlook
The winter release will provide clearer indicators of Koa's success: pricing within Agentforce, pilot-to-production conversion rates, and whether agentic work-unit growth translates into higher contract values or lower inference costs. Koa gives Salesforce greater ownership of its model stack, but its financial contribution remains unquantified. Investors will be watching these metrics closely to assess the impact on Salesforce's competitive position and revenue growth.
