Frequently Asked Questions regarding integration and ethics.
We utilize Federated Learning. Your data never leaves your local premise. The model trains locally, and only the weight updates (encrypted gradients) are sent to the central server. This ensures 100% compliance with GDPR, CCPA, and HIPAA regulations as raw data is never exposed.
Our Nova-7 architecture is built on Rust for bare-metal performance. Average latency for text generation is 12ms per token. For computer vision tasks, we process 4k streams at 60fps with a latency of under 30ms.
Yes. We offer "Air-Gapped" solutions for defense and high-security banking clients. We deliver the model weights on encrypted hardware drives, allowing you to run the entire stack without an internet connection.
We use a proprietary RAG (Retrieval-Augmented Generation) system coupled with a "Fact-Check" discriminator network. Before the AI outputs a response, a secondary smaller model verifies the statement against your provided knowledge base.
Parts of our research (see Research page) are open for peer review. However, our core weights and the "Nova" engine are proprietary commercial software protected by trade secrets.