Your most valuable AI projects need the data you are least able to share
Your most valuable AI projects need the data you are least able to share. Nakato is a private layer between that data and the AI models you want to use. It runs inside your environment. Before a request reaches a model, every sensitive detail is swapped for a contextually faithful twin: a stand-in that carries the same meaning without the same risk. The model gets the full picture. Nakato reverses the swap before the answer hits the screen. We call this Reversible Semantic Pseudonymisation, or RSP. The context stays useful. The real data never moves. That means the workflows made impractical by redaction or masking can now go live. Your teams get the accuracy the task needs, and every substitution is auditable. We work with the engineers building these systems and the business owners who need them in production. Tell us about the workflow you have on hold.