Public AI tools have demonstrated what’s possible when information can be queried and summarized instantly. But for most organizations, these tools introduce a new concern: data exposure. Sensitive internal data—client information, financial records, operational insights—cannot be broadly shared or processed outside controlled environments. Private AI addresses this by allowing organizations to apply AI directly to their own data, within their own systems, and under th