Automatically generate accurate privacy policies from code and build artifacts

Automatically generate accurate privacy policies from code and build artifacts targets a $4.8B = 8M businesses × $600 ACV total addressable market with medium saturation and a year-over-year growth rate of ~12% YoY — privacy tech and compliance spend growth observed in Forrester and IAPP market notes.

Key trends driving demand: Regulatory expansion — new and evolving privacy laws worldwide create recurring demand for accurate, up-to-date privacy documentation.; Developer-first tooling — engineering teams prefer tools that integrate into CI/CD and codebases, which creates an opening for code-driven compliance solutions.; AI-enabled document generation — LLMs and fine-tuned models now generate high-quality legal prose when paired with structured inputs, making automated policy drafting practical.; Auditability demand — companies increasingly need machine-readable inventories and audit logs tying policies to technical evidence, which automated code scanning can provide..