What is Ollm?

Ollm - confidential AI gateway provides a single API for accessing and routing across hundreds of LLM providers and models, including GLM, Qwen, GPT-OSS-120B and other commercial and open-source models.

The platform implements zero-knowledge options, zero data retention (ZDR), confidential computing and multi-layer encryption to support verifiable privacy and enterprise security requirements.Developers and security teams can centrally manage API keys, control data flow, and audit model usage while switching models or infrastructure per workload.

ollm supports model discovery, standardized infrastructure or enhanced encryption setups, and centralized key management to simplify compliance and operational scaling.Integrations with developer tools and platforms such as VS Code, Replit and Cursor enable direct deployment and testing within existing workflows.

Common use cases include secure model inference, private data processing, multi-model experimentation and enterprise-grade LLM orchestration.

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Ollm's key features

Single API gateway for accessing and routing across multiple LLM providers and models
Privacy & security features: zero-knowledge options, zero data retention, confidential computing, multi-layer encryption
Centralized management: API key management, data flow control, and audit logging with per-workload model/infrastructure switching
Model discovery and standardized infrastructure with configurable/enhanced encryption setups
Integrations with developer tools (VS Code, Replit, Cursor) for direct deployment and testing

Ollm use cases

Deploy a secure, compliant virtual assistant for healthcare or finance that routes sensitive queries to certified commercial or open-source models via a single API, enforces zero-data-retention and confidential computing, centralizes API/key management and audit logs to satisfy regulatory requirements
Build an enterprise knowledge retrieval and summarization pipeline that orchestrates multiple LLMs for cost, latency and accuracy trade-offs, applies zero-knowledge and data-flow controls to prevent leakage, and gives IT teams centralized key management, model routing and compliance auditing
Run privacy-preserving A/B testing and automated model selection for internal workflows by routing traffic through ollm's confidential AI gateway, collecting performance metrics without retaining user data, automating routing based on SLA/cost, and maintaining full audit trails for governance