Superlinked
Self-hosted AI inference engine for search and document processing — deploy models on your own cloud infrastructure.
| What is it | Self-hosted AI inference engine for search and document processing — deploy models on your own cloud infrastructure. |
|---|---|
| Pricing | Contact for Pricing |
| Free tier | No |
| Platform | API |
| API | Yes |
| Best for | Building private RAG (Retrieval Augmented Generation) systems, Creating self-hosted product search engines |
| Domain registered | 2017 |
Data updated Aug. 1, 2026
What does Superlinked do?
Superlinked is a self-hosted inference engine designed for search and document processing workloads. It lets you run over 85 state-of-the-art AI models on your own cloud infrastructure instead of relying on expensive managed APIs. The system handles embeddings, reranking, extraction, and multi-modal tasks while keeping all data within your AWS or GCP environment.
The engine works through three main components: infrastructure modules for AWS/GCP deployment, a Kubernetes cluster for model management, and SDKs for Python, Node.js and framework integrations. It supports hot-loading domain-specific LoRA adapters at runtime and provides observability tools like grafana dashboards. This approach can reduce costs by 50x compared to services like OpenAI while improving performance through specialized models.
Development teams building retrieval systems, regulatory compliance tools, or e-commerce search will benefit most. It's particularly valuable for organizations that handle sensitive data and need to maintain privacy while leveraging advanced AI capabilities. The open-source Apache 2.0 license and SOC2 Type2 certification make it suitable for enterprise deployments.
Key features
What makes it stand outWho is Superlinked for?
Who benefits most from this toolTrust & presence
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