Why We Post-Trained Our Own Reasoning Model
Salesforce trained a reasoning model specifically for enterprise logic—not physics problems. Here's why general reasoning fails at the work that matters.
Why it matters
Domain-specific reasoning models are emerging as a frontier capability gap: general models treat refund policies like physics, losing enterprise context. This signals a shift toward specialized reasoning training rather than scaling general-purpose models.
The key facts
8 to knowSalesforce post-trained reasoning model for enterprise-specific tasks
General models apply uniform reasoning across unrelated domains (refund policy vs physics)
Enterprise reasoning requires domain-adapted training, not generic scaling
Suggests a frontier inflection: specialized reasoning models vs general scaling race
Salesforce post-trained a reasoning model for enterprise use cases
General models apply uniform reasoning strategies across domains (refunds vs. physics)
Enterprise reasoning requires domain-specific optimization, not generic capability
Post-training strategy targets practical deployment over benchmark dominance
Go to the source
Salesforce Newsroomsalesforce.com
Publisher excerpt: A general model reasons about a refund policy the same way it reasons about a physics problem. So we trained one specifically for enterprise work.