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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"> |
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| # Innovius — Secure AI, built for trust |
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| 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 |
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| *A joint development by **Innovius × [EECC Research Labs](https://eecc.info)**, trained at the |
| Jülich Supercomputing Centre.* |
|
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| **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. |
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| | 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 | |
|
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| **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/) |
|
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| 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 |
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| <img src="https://huggingface.co/spaces/innovius/README/resolve/main/eecc-light.svg" height="34" alt="EECC — European EPC Competence Center"> |
|
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| 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. |
|
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| 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. |
|
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| ## Open weights, on principle |
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|
| 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) |
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|
