ShinrAI
Transparent realtime semantic encryption for AI communication.
Your encryption keys never leave your device.
The AI provider sees only what it is permitted to see.
Transparent Semantic Encryption
Most privacy solutions operate at the network or storage layer. ShinrAI operates at the semantic layer — at the level of meaning itself.
When a user sends a message through a ShinrAI-enabled platform, the content is transformed before it leaves the device or the secure gateway. The transformation is bidirectional and lossless: the AI provider receives a version of the input that is semantically coherent — meaning the AI can reason about it correctly — but contains no recoverable link to the original identities, locations, or contextual specifics.
The decryption key is derived from material that never transits the network in a recoverable form. Only the user — or the user's trusted device — holds the key material required to restore the original context. Innovius does not hold this key. The AI provider does not hold this key. The gateway does not hold this key.
This is the distinction between a privacy claim and a privacy guarantee.
Detection
Identifies entities, patterns, and semantically sensitive structures across multiple languages and regional formats in real time.
Transformation
Replaces identified content with contextually coherent substitutes that preserve the reasoning validity of the input for the AI provider.
Routing
The transformed request is transmitted through a correlation-resistant path. No single routing component holds enough context to reconstruct origin or content.
Substitution That Holds
A naive substitution breaks AI reasoning. ShinrAI substitutions are designed to preserve it.
When a name, address, or institutional identifier is detected, it is not replaced with a generic token. It is replaced with a statistically plausible alternative that maintains the relational and contextual weight of the original. The gender, regional register, city-tier, and linguistic cadence of the original are preserved. The AI model receives an input that is internally consistent, and its response is generated accordingly.
The response is then processed in the reverse direction before it reaches the user: the substituted references are resolved back to the user's original context, transparently. From the user's perspective, the conversation reads as if no transformation occurred.
Multi-Region, Multi-Language
Effective privacy requires understanding how identity is expressed — differently, in every language and jurisdiction.
ShinrAI's detection layer is aware that a name in Osaka follows different phonological and frequency patterns than a name in Düsseldorf or Denver. Entity detection is language-first: the system identifies the probable linguistic and regional context of the input before applying its detection profile, which allows it to apply the correct patterns without overfitting to one market.
Language detection adds less than 5ms to the end-to-end latency while enabling materially higher precision across all supported regions. Coverage extends across global identifiers — email addresses, phone formats, financial account patterns — as well as deeply jurisdiction-specific structures that generic tools routinely miss.
Germany (DE)
Street addresses, tax identifiers, IBAN patterns, German mobile and postal formats, regional name pools.
United States (US)
SSN, ITIN, passport, driver's license, EIN structures, US name distribution pools by region.
Japan (JP)
My Number, Japanese phone and postal formats, kanji and kana name patterns with appropriate phonological weighting.
Global
Email addresses, credit card patterns, IPv4/IPv6, URLs, and IBAN structures without regional specificity.
Semantic Encryption as an Open Standard
We believe the privacy properties we have built should be reproducible, auditable, and available to the broader AI community.
What We Are Building
Our current detection layer operates with precision across the regions described above. We are actively training a new generation of ShinrAI detection models based on modernBERT architecture — neural detection with substantially higher recall on complex, cross-lingual, and contextually embedded PII.
Neural detection models trained on our 24-node GPU cluster. Designed for cross-lingual PII with contextual embedding awareness. These models will be released as open weights — enabling any team to apply semantic encryption to their AI stack without needing to rebuild the detection layer.
Ongoing research into multi-path request routing analogous to onion routing principles, adapted for low-latency AI inference. No single routing node holds enough information to link a request to its origin.
Session keys derived from post-quantum key exchange primitives. Designed so that a future adversary with a cryptographically relevant quantum computer cannot retroactively decrypt captured session data.
Research into fully homomorphic encryption applied to generative image inference — enabling image generation without the provider ever processing the unencrypted prompt.
Where ShinrAI Lives
ShinrAI is the encryption layer across every Innovius product. The same architecture, deployed at different scales.
ChtSafe
ChtSafe is the consumer AI hub running on ShinrAI encryption. Access 50+ models — GPT, Claude, Gemini, Grok, and more — with your identity and prompts protected by ShinrAI before they leave the platform. Your keys are derived from your account credentials and never transit the network in recoverable form.
Visit ChtSafe.comSecure AI Suite
The Innovius Secure AI Suite deploys ShinrAI as a governed encryption layer across your organization's entire AI stack — on-premise or in your VPC. Policy controls determine which detection profiles apply to which users, departments, and model endpoints. Fully auditable transformation logs with no plaintext retention.
Request Enterprise DemoAICNCT
AICNCT connects business systems to the AI ecosystem — ChatGPT, Claude, Gemini, Copilot, Grok — via MCP and llms.txt. ShinrAI protects the data transmitted through those connections, ensuring that business system data exposed to AI assistants is semantically transformed before leaving your environment.
Visit AICNCT.comShinrAI-Secured AI, Today
ChtSafe makes ShinrAI-protected AI available to individuals in minutes. The Secure AI Suite brings the same technology to enterprise teams. Both products are production-ready today.