Salesforce Koa — AI News Today

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Koa is Salesforce's first CRM reasoning model, unveiled at Dreamforce on September 15, 2026. Built with NVIDIA by post-training NVIDIA's open-weight Nemotron 3 Super on synthetic scenarios drawn from nearly three decades of Salesforce CRM knowledge, it is designed to handle complex, multi-step sales, marketing and customer-support workflows and to take actions across CRM applications in Agentforce. It arrived three weeks after Salesforce made Anthropic's Claude a default model, a move analysts tied to inference costs.

21 stories about Salesforce Koa

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About Salesforce Koa

Salesforce Koa is a large language model by Salesforce. Koa is Salesforce's first CRM reasoning model, unveiled at Dreamforce on September 15, 2026. Built with NVIDIA by post-training NVIDIA's open-weight Nemotron 3 Super on synthetic scenarios drawn from nearly three decades of Salesforce CRM knowledge, it is designed to handle complex, multi-step sales, marketing and customer-support workflows and to take actions across CRM applications in Agentforce. It arrived three weeks after Salesforce made Anthropic's Claude a default model, a move analysts tied to inference costs. This page tracks 21 recent news stories about Salesforce Koa, curated from 30+ sources and updated every 15 minutes.

Salesforce Koa — Coverage Momentum

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First tracked Sep 2026. Most-citing sources: TechCrunch AI (1). Data aggregated by Best AI News Today from 30+ sources.

21 stories

Frequently Asked Questions

What is Salesforce Koa?

Salesforce Koa is Koa is Salesforce's first CRM reasoning model, unveiled at Dreamforce on September 15, 2026. Built with NVIDIA by post-training NVIDIA's open-weight Nemotron 3 Super on synthetic scenarios drawn from nearly three decades of Salesforce CRM knowledge, it is designed to handle complex, multi-step sales, marketing and customer-support workflows and to take actions across CRM applications in Agentforce. It arrived three weeks after Salesforce made Anthropic's Claude a default model, a move analysts tied to inference costs.

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