Your enterprise customers are reading your TOS with red pens. PrivacyPal lets you build on GPT-4 and Claude without telling them their data flows to a third party. Because it won't.
When you add OpenAI to your stack, every enterprise customer's security team asks the same question: where does our data go, and who else gets to see it? Deals slow down. Renewals get harder. "AI-first" becomes "AI-stuck."
PrivacyPal breaks the pattern. Customer data never reaches the LLM — so the LLM never has to be on your subprocessor list. Your pipeline stays fast.
Ship in-product AI assistants without appearing on any OpenAI-powered subprocessor list.
Let AI see user code without shipping proprietary IP to a third-party model vendor.
Enable natural-language queries over customer-hosted data. Values stay in the tenant; only shapes go to the model.
Give engineers AI copilots on production logs, traces, and prod data — without the leak risk.
"Our fastest-ever security review. Three enterprise customers said yes to AI the week we launched with PrivacyPal."— CTO, Series C data infrastructure
OpenAI-compatible endpoint. One base_url change and your stack inherits end-to-end redaction.
Different customers, different rules. Apply detectors by tenant ID, enforce by API key.
Preserves SSE and chunked responses end-to-end. Your LLM UX doesn't change.
30-minute technical walkthrough with one of our deployment engineers.