Use case VectaX

Joint analysis with partners who can't share their data

Multiparty compute on ciphertext. Each party keeps custody; the joint model sees the union without seeing any input.

Computes on data it can never see

Financial servicesHealthcare & pharmaPublic sectorHead of AICompliance & GRCSovereign & regional clouds

The problem

Reinsurers, banks, hospitals, and governments want shared intelligence but can't legally pool the underlying records.

The shared model everyone wants dies in legal review, because pooling the records would breach every party's obligations at once.

Mirror restores Encryption · FHE · computes on data it can never see

How it works

01

Keep custody

Each party encrypts its own data under its own keys. Nothing is pooled; nothing leaves anyone's control.
02

Joint compute

VectaX computes across all inputs as ciphertext. The model sees the union of intelligence, never any one party's records.
03

Share result

Each party decrypts only the agreed output. No participant. including Mirror. ever sees another's raw data.

Your most regulated records sit on the wrong side of the AI line because every model has to decrypt to compute.

Knowledge bases, vector stores, conversation history, agent memory. Every piece of context an AI reaches for is plaintext the moment it's loaded.

Domain models need real customer data to be useful. Training in plaintext means you hold what you swore you wouldn't.

Get started

FHE-native inference. Runtime agent guardrails. Continuous red teaming. One platform. Book a working session with the team.