ShinrAI Encryption Models

Classical PII tools do one of two things: they redact (the default — leaving broken [REDACTED] text no AI can reason about), or they make hard-cut replacements that ignore what the text means. ShinrAI is semantic encryption: replacements are computed in multiple dimensions at once — matched to the context, the culture and the language of the original, and statistically weighted so a substitute never accidentally triggers biases or red flags. The AI receives text that reads natural and reasons correctly; the identities inside were never exposed. And the models are small, fast, and yours: CPU, workstation GPU, or embedded in your own stack — no data ever leaves your infrastructure.

The models are one half; the ShinrAI software completes the encryption. The matching key pair — depending on your deployment — never leaves your device, your backend, or your hosted instance: only the key holder can ever map the protected text back to reality. Optional onion routing in the backend separates who is asking from what is asked, and it works with any model access path — OpenRouter and many more. Ideally you use several: the more independent paths to the same model, the stronger the protection.

Beyond chat, the models privacy-protect data at scale: de-identifying electronic patient files (ePA) for pharmaceutical research, clinical archives, high-security environments and banking datasets — while keeping the data statistically faithful and analytically useful.

Every model ships as open weights under Apache 2.0. A substantial share of the training data will be published too — our data pipeline tracks license provenance for every single record, so we can release the license-clean subsets (CC0, CC-BY, public-domain and our own generated text). For several models that means fully open source: weights and data. Final license review is in progress; open weights are a commitment, not an aspiration.

The training corpus is synthetic — generated, checked and filtered by openly released AI models, anchored in public registries and open data. No customer data, no scraped personal records, no proprietary APIs anywhere in the pipeline.

And if you need this protection now: a compact edition of the German, English and Japanese models already runs in production inside our commercial products — ChtSafe for individuals, and the Innovius Secure AI Suite for organizations (on-premise first, SaaS-hosted on request). Talk to us for the enterprise version.