README.md

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title: README
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<img src="https://huggingface.co/spaces/innovius/README/resolve/main/shinrai-logo.png" width="104" alt="ShinrAI — shield logo" align="right">

# Innovius — Secure AI, built for trust

Innovius builds the **Secure AI Suite**: private, governed AI for enterprises — on-premise, VPC or
air-gapped — powering [ChtSafe](https://chtsafe.com) and [AICNCT](https://aicnct.com). At its heart
sits **ShinrAI** (信頼 — Japanese for *trust*): a transparent, realtime semantic privacy layer for
AI communication.

## 🧪 ShinrAI Encryption Models — Open Beta

*A joint development by **Innovius × [EECC Research Labs](https://eecc.info)**, trained at the
Jülich Supercomputing Centre.*

**You use the AI. The AI does not use you.** We are publishing our next-generation privacy models
here: **open-weight semantic encryption models** (ModernBERT family), compact enough to run on your
own hardware. Classical PII tools redact or hard-cut; ShinrAI encrypts semantically — replacements
matched to context, culture and language, statistically weighted so they never accidentally trigger
biases or red flags. The AI reasons over natural text; the identities inside were never exposed.
In the full ShinrAI stack the matching key pair never leaves your device, backend or instance, with
optional onion routing across as many model access paths as you like (OpenRouter and friends —
the more, the stronger). The same models protect data **at scale**: de-identifying electronic
patient files (ePA) for pharmaceutical research, clinical archives, high-security environments and
banking datasets.

| Status | Languages |
|---|---|
| 🟢 Available today | German, English, Japanese — a compact edition already protects production traffic in [ChtSafe](https://chtsafe.com) and Secure AI Suite deployments ([contact us](https://innovius.ai/#contact) for the enterprise version: on-premise first, SaaS-hosted on request) |
| 🟠 In training | The full open-weight suite: Italian, French, Spanish, Polish, Portuguese (PT/BR), Russian, Ukrainian, Turkish, Korean, Arabic, Dutch, Swedish, Chinese (Simplified) — and your vote decides the order |

**Apache 2.0 open weights. License-clean training-data releases. No proprietary APIs anywhere in
the pipeline.** The training corpus is synthetic — generated and quality-checked by openly released
models, anchored in public registries and open data. Every record carries license provenance, so
the data we release is clean by construction.

### 👉 [Apply for beta access — or get notified at release](https://innovius.ai/shinrai/beta/)

Beta participants get early checkpoints matched to their hardware, and their language, domain and
quantization votes directly shape our training roadmap. You can also follow this organization to
see every release the moment it lands.

## Partners & thanks

<img src="https://huggingface.co/spaces/innovius/README/resolve/main/eecc-light.svg" height="34" alt="EECC — European EPC Competence Center">

Developed together with the **[EECC Research Labs](https://eecc.info)**
([EECC on Hugging Face](https://huggingface.co/european-epc-competence-center)) — our closest
research partner and co-developer of the ShinrAI encryption models, not a subcontractor.

Trained on the **JURECA** supercomputer at the
[Jülich Supercomputing Centre](https://www.fz-juelich.de/en/ias/jsc) (Forschungszentrum Jülich),
scaling onto **JUPITER**, Europe's first exascale system — supported by the
[WestAI](https://westai.de) initiative. Our deepest thanks to FZ Jülich and the JSC team: work like
this is only possible because Europe's research infrastructure is open to it.

Training data is generated, cross-checked and evaluated entirely by openly released models — the
**Qwen** (Alibaba), **Gemma** (Google DeepMind), **Mistral** and **NVIDIA Nemotron** families — on
the base of **mmBERT** (Johns Hopkins CLSP) from the **ModernBERT** lineage, anchored in open data:
GeoNames, Wikidata, and the statistics offices and open-data portals of the countries we cover.
Thank you for keeping frontier-quality open models and open data available.

## Open weights, on principle

We fully support the [Open Weights and American AI Leadership](https://images.nvidia.com/pdf/Open-Weights-and-American-AI-Leadership.pdf)
open letter published in July 2026 by an NVIDIA-led coalition of 50+ organizations: open weights
are defensive assets — for security, for competition, for trust. The ShinrAI encryption models are
our contribution from Europe.

## Links

🌐 [innovius.ai](https://innovius.ai) ·
🔐 [ShinrAI technology](https://innovius.ai/shinrai/) ·
🧪 [Model beta](https://innovius.ai/shinrai/beta/) ·
✉️ [Contact](https://innovius.ai/#contact) ·
🐦 [@InnoviusAI](https://x.com/InnoviusAI)