Salesforce announced Koa, a custom AI model trained on decades of business data, alongside new tools like AIforce and Claudeforce that let companies use Salesforce data without leaving their own systems. The move reflects a broader shift where enterprise software companies are building proprietary AI models rather than relying on third-party vendors to avoid losing control of sensitive business intelligence.

• Koa matches or exceeds leading models on CRM tasks with 3x fewer errors by focusing narrowly on business operations instead of general knowledge
• Salesforce released three new AI products: AIforce (natural language interface for Salesforce), Claudeforce (Claude integration with 37 pre-built sales skills), and Headless 360 (API access to Salesforce data from any platform)
• Companies like Salesforce, Crowdstrike, and Thomson Reuters are building custom models using open-source foundations (like Nvidia's Nemotron) rather than becoming AI labs themselves, balancing the need for proprietary intelligence with avoiding massive R&D costs

OpenAI’s ChatGPT Health adds a HIPAA-compliant wrapper over its regular models but delivers no new technology and raises doubts about data use and fine-tuning. It feels like another marketing stunt as Big Tech probes the healthcare market without real change.

• ChatGPT Health is just a HIPAA-compliant wrapper on existing models—no new underlying technology despite the marketing push.
• OpenAI's promise not to "train" on patient data leaves open whether they still fine-tune on it behind closed doors, echoing 23andMe's fine-print bait-and-switch on DNA data.
• This fits a pattern: AI Consult was human-curated ChatGPT, HealthBench was just a dataset, and GPT-5's health story was retracted amid lawsuits—all flash, no substance.
• The real goal is likely market-testing healthcare economics to undercut purpose-built HIPAA-compliant competitors, using hype to gauge demand before committing.