What is Ollm
Welcome to OLLM
What is Ollm
Ollm is an enterprise confidential AI gateway that provides access to high-security, confidential computing large language model (LLM) providers through a single, OpenAI-compatible API.
Instead of hosting or training models, Ollm acts as a secure execution and access layer. Every inference request is executed inside a Trusted Execution Environment (TEE) and can be cryptographically verified per request using hardware attestation technologies such as Intel TDX and NVIDIA GPU attestation.
This architecture allows organizations to use powerful LLMs without relying on contractual trust, opaque provider assurances, or internal policy enforcement alone.
At a high level, Ollm provides:
Enterprise AI routing
A single gateway that provides access to multiple high-security LLM providers while abstracting provider-specific APIs and security integrations. The model used for each request is explicitly selected by the user.
Confidential computing
Prompts and responses are processed entirely inside hardware-isolated execution environments. Ollm cannot inspect or access raw prompt or response data outside the TEE boundary.
Verifiable privacy as a technical guarantee
Each request produces attestation artifacts that allow customers to verify that inference ran inside a trusted, isolated execution environment.
One API, hundreds of models
Access a broad catalog of secure, TEE-backed models through a single OpenAI-compatible interface, without managing individual provider integrations.
Ollm is designed for teams that need strong, provable guarantees around data confidentiality, execution integrity, and auditability when using LLMs in production.
Why Choose Ollm
Ollm is built for organizations that cannot rely on trust statements alone when handling sensitive data. It replaces implicit trust with cryptographic verification and hardware-enforced isolation.
Verifiable privacy, not promises
Every inference request can be independently verified using hardware attestation. This provides cryptographic proof that the specified model ran inside a trusted execution environment, rather than relying on provider claims or policy documentation.
Confidential computing model access
All prompts and responses are processed entirely within TEEs. Ollm does not have visibility into customer data outside the secure execution boundary, eliminating a large class of insider and infrastructure-level risks.
Military-grade encryption at every layer
Ollm enforces strong encryption:
- In transit between client, Ollm, and model providers
- In use inside TEEs during inference
- Across the control plane for configuration and orchestration
This ensures data remains protected throughout its lifecycle.
One API, many secure models
Ollm provides access to multiple high-security LLM providers through a single API. Teams retain full control over model selection while avoiding vendor lock-in and integration sprawl.
Drop-in OpenAI compatibility
Ollm is compatible with the OpenAI API and SDKs. Existing applications can migrate with minimal changes no custom clients, wrappers, or SDK rewrites required.
Why Ollm over alternatives?
- Compared to general AI gateways Ollm enforces TEE-only execution and verifiable privacy by default, rather than optional or policy-based security controls.
- Compared to native model APIs Ollm removes blind trust in providers by enabling cryptographic verification of each inference request.
- Compared to private hosting Ollm delivers enterprise-grade security guarantees without the operational overhead of managing infrastructure, GPUs, or attestation pipelines.
Ollm is purpose-built for teams that need provable security, confidential computing guarantees, and operational simplicity when deploying LLMs in sensitive or regulated environments.