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Salesforce and NVIDIA Launch CRM-Focused AI Reasoning Model Koa

Salesforce and NVIDIA launch Koa, a CRM-focused AI reasoning model designed to improve intelligent automation and decision-making.

Mansi Hake

Last updated on: Sep. 18, 2026

September 16, 2026: Salesforce and NVIDIA introduced Koa, Salesforce’s first CRM-focused reasoning model, designed to help AI agents handle complex, multistep customer relationship management tasks.

The Salesforce Koa AI model was introduced at Salesforce’s Dreamforce conference in San Francisco and is being developed for the company’s Agentforce platform. It is built by post-training NVIDIA’s open-weight Nemotron 3 Super model with a focus on CRM workflows and enterprise tool use.

“AI is creating a much larger opportunity for software. Every company needs useful AI, tailored to its knowledge, expertise, and work. NVIDIA Nemotron open models give Salesforce the foundation to turn decades of enterprise expertise into specialized AI with Koa, creating a CRM model that can reason and securely take action.” said Jensen Huang, founder and CEO of NVIDIA. 

Koa is designed to help agents work through tasks such as generating and qualifying leads, updating sales opportunities, routing service cases and completing other workflows that require multiple tool calls. Salesforce said the model was trained using synthetic scenarios based on nearly three decades of CRM experience rather than customer data.

Salesforce said Koa uses supervised fine-tuning and reinforcement learning with Group Relative Policy Optimization to improve its ability to reason through multistep workflows and select the right tools. A technical paper published by Salesforce researchers said the model improved on its Nemotron base model across tool-use, agentic reasoning and CRM benchmarks.

Salesforce controls Koa’s model weights and runs the model within its own infrastructure. The company said post-training and inference take place inside its trust boundary, so customer data does not have to leave Salesforce’s environment when Koa processes Agentforce tasks. 

On Salesforce’s own CRM benchmark, the company said Koa matched or exceeded leading model performance on CRM actions while producing about three times fewer errors. The results are based on Salesforce’s testing and have not been independently validated.

The launch reflects a broader shift toward specialized AI models designed for specific enterprise functions. Salesforce already supports external models, including Anthropic’s Claude, within Agentforce. Koa is being added as another model option rather than replacing those providers.

Salesforce is also positioning specialized models such as Koa as a way to reduce reliance on larger frontier models for every task, although the company has not disclosed Koa pricing or quantified potential cost savings.  

Salesforce said Koa is already being used internally, including through an agent in Slack, and is moving into customer pilots with companies including 1-800Accountant, Baxter Credit Union, Engine, Formula 1, UChicago Medicine and Xero. General availability is expected in winter 2026 in U.S. regions.

The Salesforce-NVIDIA partnership is also expanding into government and regulated industries. Missionforce Operations is already generally available in U.S. regions, while post-trained NVIDIA models are expected to become available to selected customers in October 2026. The companies said NVIDIA Nemotron models and accelerated computing will be incorporated into Salesforce’s Missionforce platform, including deployments using private clouds and air-gapped environments.

The development points to a growing enterprise AI strategy in which companies combine general-purpose foundation models with specialized models trained around specific workflows, tools and business rules. For CRM platforms, the approach could make AI agents more capable of completing operational tasks rather than simply generating responses.

Mansi Hake

Mansi is a B2B content writer who mainly writes about technology, AI, marketing, and industry trends. Her background in journalism at The Indian Express helped her develop a strong approach to research, interviewing, and clear storytelling. Her experience in strategic communication with the Indian Army further strengthened her ability to understand complex subjects and present them simply. She brings these skills together to create well-researched, useful content for business audiences. When she’s not writing, you’ll probably find her trying to defy gravity while doing yoga. Let’s connect.

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