Keep retrieval-augmented generation private by consistent pseudonymization proxy

Keep retrieval-augmented generation private by consistent pseudonymization proxy targets a $9.6B = 800K businesses × $12K ACV (companies using LLMs for search/support/knowledge where privacy layer is required) total addressable market with medium saturation and a year-over-year growth rate of 35% YoY — based on enterprise AI and data governance adoption trends reported by industry analysts (2023–2025).

Key trends driving demand: RAG adoption — companies are deploying LLMs for enterprise search and support, increasing demand for solutions that keep RAG effective while protecting PII.; Compliance pressure — regulatory scrutiny around data sharing and model inputs is rising, creating demand for tools that prevent data leakage without crippling AI workflows.; API-first integrations — developer teams prefer lightweight, API-based controls that integrate with vector stores and LLM vendors, enabling faster adoption than heavy governance platforms..