OLLM.COM is a privacy-first AI Gateway that offers a curated selection of popular large language models (LLMs) deployed on confidential computing chips such as Intel SGX and NVIDIA. It ensures zero data visibility, retention, or training use through its Zero-Knowledge architecture. This means that data remains encrypted during processing, not just in transit or at rest. To add an extra layer of verifiable privacy, OLLM provides users with cryptographic proof that their requests were safely processed in a Trusted Execution Environment (TEE).
As the world's first enterprise router aggregating high-security, zero-knowledge LLM providers, OLLM guarantees military-grade encryption at every layer. With hundreds of models available, users can access the world's top AI models through a single API, choosing between standard infrastructure with Zero Data Retention (ZDR) or confidential computing for enhanced encryption. Users maintain full control over their data, making OLLM an ideal solution for organizations that prioritize security and privacy in their AI workflows.
OLLM operates by acting as an intermediary between users and AI models. When a user sends a request, it is processed within a secure environment using confidential computing technologies. The Zero-Knowledge architecture ensures that no data is visible, retained, or used for training purposes. The system also employs cryptographic proofs to verify that all operations are conducted securely within a Trusted Execution Environment (TEE). This ensures end-to-end privacy and security throughout the AI processing pipeline.
OLLM is particularly beneficial for organizations that handle sensitive data, such as financial institutions, healthcare providers, and government agencies. Its ability to provide verifiable privacy makes it suitable for compliance-driven environments where data security is paramount. Additionally, OLLM supports a wide range of AI models, making it a flexible solution for developers and enterprises looking to integrate advanced AI capabilities without compromising on security.
| Feature | Description |
|---|---|
| Confidential Computing | Supports Intel SGX and NVIDIA for secure processing |
| Zero-Knowledge Architecture | Ensures no data visibility, retention, or training use |
| Verifiable Privacy | Provides cryptographic proof of secure processing |
| Single API Access | Aggregates hundreds of models into one interface |
| Military-Grade Encryption | Secures data at every layer of processing |
OLLM seamlessly integrates with popular AI development tools such as Roo Code, Cline, Cursor, Windsurf, and VS Code. This allows developers to connect to their favorite AI dev tools and continue building without the need for new platforms or custom setups. The platform also supports real-time scaling and usage tracking, making it ideal for organizations that need to adjust their AI resource allocation dynamically.
OLLM provides access to a wide range of LLMs, including:
| Model | Status |
|---|---|
| DeepSeek 3.2 | CONFIDENTIAL |
| GLM 4.6 | CONFIDENTIAL |
| Qwen3 | CONFIDENTIAL |
| GPT-OSS-120B | CONFIDENTIAL |
| GPT5 | [SOON] |
| claude 4.5 | [SOON] |
| grok 4 | [SOON] |
| Gemini 3 | [SOON] |
Users can explore all models through the OLLM console and choose the ones that best fit their needs.
