"The most valuable thing Salesforce has built isn't our platform—it's the accumulated knowledge of how enterprise business actually works. With Koa, that knowledge is put inside the model itself. We trained a reasoning engine that understands the structure of a deal, the lifecycle of a service case, and the workflows that vary across industries. That's a different kind of intelligence, and it runs entirely inside your trust boundary."
Why Domain-Specific Reasoning Matters for Enterprise AI

- 3x Fewer Errors on CRM Actions: On standard enterprise CRM benchmarks, Koa matches or outperforms leading general-purpose frontier models on core tasks - such as opportunity updates, case routing, and pipeline execution - while producing three times fewer execution errors.
- Synthetic Training Architecture: To maintain absolute data privacy, zero customer data was used in Koa's training corpus. Instead, the model was trained using advanced synthetic scenarios across more than 14 major industries - including financial services, healthcare, manufacturing, and retail.
- Advanced Post-Training: Built in collaboration with NVIDIA, Koa was optimized using Supervised Fine-Tuning (SFT) and reinforcement learning with Group Relative Policy Optimization (GRPO) via NVIDIA NeMo RL, NeMo Gym, and NeMo AutoModel.
Security & Trust: Inference Inside Your Trust Boundary
A critical consideration for enterprise architects deploying autonomous agents is data governance and security.
Salesforce controls the model weights and executes both post-training and inference entirely within its own infrastructure. This guarantees that enterprise context and operational data never cross external trust boundaries or get exposed to public training sets during model execution.
Agentforce AI Surface
Koa CRM Reasoning Model (NVIDIA Nemotron Foundation)
- 1Zero Customer Data Used in Training
- 2Strict Role-Based Access Controls (RBAC)
Salesforce Enterprise Data Trust Boundary
Expanding Strategic AI Integrations
- Claudeforce Expansion: Deeper integration between Anthropic's Claude AI and Salesforce Agentforce to bring reasoning over CRM context directly into user interfaces.
- Model Context Protocol (MCP) Support: Connecting autonomous agents to custom external databases and microservices using Model Context Protocol (MCP) standards without re-architecting underlying security schemas.
- Missionforce for Regulated Workloads: Extending Nemotron-based post-trained models to sovereign clouds, classified environments, and air-gapped infrastructure for government and highly regulated sectors.
Building the Agentic Future with Hajana Technologies
- Discover how we help organizations scale autonomous workflows in our guide to Building the Agentic Enterprise with Hajana Technologies.
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