End-to-end encryption, strict RBAC, and optional air-gapped deployment. Your data remains sovereign.
Full support for OIDC and OAuth 2.0. Seamless integration with Azure AD, Okta, and on-premises identity providers.
Architecture enforces strict data residency and supports 'Right to Erasure' workflows.
Controls and logging infrastructure prepared for audit.
Managed hosting via Hetzner (Germany) or complete self-hosting on your own infrastructure. Fully offline capable (no internet required).
Can be configured for PHI processing in isolated environments.
Architecture supports California Consumer Privacy Act requirements for data handling.
Inference occurs locally. No external API calls for proprietary data.
User
Corporate Device
TLS 1.3 Tunnel
PrivaCorp Node
VPC / On-Prem
Private Network
Local LLM
Inference Engine
Sensitive data is automatically detected and masked before AI processing.
PrivaCorp uses its PII Microservice to detect and mask emails, phones, SSNs, credit cards, names, locations, and medical records.
PrivaCorp utilizes local Regex + ML.NET engines for 100% offline PII detection. No data ever leaves your device.
Trust where it matters. We bypass PII masking for local models like Ollama to give your AI 100% context and accuracy. You hold the keys. Easily toggle trust for any endpoint. For ultimate sovereignty, keep your models close and your data closer on your own infrastructure.
Billion-scale Milvus/pgvector instance with AES-256 encryption at rest. Zero-knowledge architecture for stored embeddings.
Proprietary parsers process PDFs/Office docs entirely within your VPC. No data is ever sent to external OCR APIs.
Granular document-level permissions ensure users only retrieve context they are authorized to see.
No. Your data is processed locally within your sovereign environment (Self-hosted or Managed) and is never sent to PrivaCorp servers. We have zero visibility into your inference data.
Since the model runs on your infrastructure (or dedicated instance), you retain full access to your data. The proprietary inference engine license will expire, but your data remains yours.
We provide encrypted model weights via a secure container registry. You can pull updates and deploy them to your air-gapped environment manually or via CI/CD.
Yes. The entire stack is designed to run without internet access. Updates can be transferred via secure physical media if required.
For self-hosted inference, we recommend HPC Servers equipped with NVIDIA RTX 6000 (Blackwell) GPUs. For enterprise-wide concurrency, the architecture scales to NVIDIA DGX B200 clusters. Alternatively, we provide fully managed, sovereign infrastructure where no hardware investment is required.
Yes. PrivaCorp exposes a full OpenAI-compatible REST API. It works natively with LangChain, Microsoft Semantic Kernel, and custom Python scripts.
From contract to live inference usually takes less than 48 hours. Our engineering team assists with the initial Docker orchestration.
Enterprise plans include 24/7 engineering support with guaranteed response times for critical incidents.