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Superlinked

Superlinked provides an open-source inference engine, SIE, for AI models, enabling teams to run small, task-specific models for AI agents. It offers a hosted API (SIE Serverless) or self-hosting options in your own cloud, supporting 142 models for various agent tasks. The platform focuses on cost-efficiency, speed, and data privacy for enterprise AI deployments.

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Superlinked offers the Superlinked Inference Engine (SIE), an open-source inference server designed to power AI agents with small, task-specific models. The platform allows users to compare open models against leading APIs based on measured results, providing flexibility to use SIE Serverless (a hosted API) or run the models within their own cloud infrastructure.

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SIE is built to keep inference within a user's network, addressing concerns about data privacy and security. It boasts superior performance for document-related tasks, claiming to be 3 to 15 times faster and 88% cheaper for jobs like converting documents to JSON or searching PDF pages compared to frontier APIs. The engine supports a wide range of AI agent tasks, including search and RAG, document processing, text and LLM applications, image and audio understanding, and safety and compliance.

Founded in 2021, Superlinked is an AI inference company based in San Francisco. SIE is released under the Apache 2.0 license, allowing teams to self-host the engine on a single machine (SIE Local) or deploy it to Kubernetes clusters (SIE Cluster) in their own AWS, GCP, Azure, or Alibaba Cloud accounts. For those requiring additional support, Native Inference combines SIE Cluster with Superlinked engineering expertise.

Superlinked differentiates itself by offering a comprehensive catalog of 142 models for embeddings, reranking, extraction, OCR, speech, object detection, and generation, all accessible through a single API. This multi-model approach allows several models to share GPUs, optimizing resource utilization and maintaining speed, even for generation tasks. The platform is particularly beneficial for SaaS and enterprise software companies that deploy AI within their customers’ infrastructure, ensuring data remains in their cloud.

Integration is seamless, with framework adapters for popular AI frameworks and vector databases like LangChain, LlamaIndex, Haystack, Qdrant, Weaviate, Chroma, LanceDB, DSPy, and CrewAI. It also provides a native SDK for full feature access and OpenAI compatibility for easy migration of existing embeddings or chat code. Superlinked offers a usage-based pricing model for SIE Serverless, with new accounts receiving $20 in free credits, while the open-source engine is free to use.

  • CategoryMLOps & Model Deployment
  • Pricing ModelFreemium
  • DeploymentCloud, Self-hosted

  • Open-source inference engine (SIE) under Apache 2.0 license

  • Hosted API (SIE Serverless) for managed inference

  • Self-hosting options: SIE Local (single machine) and SIE Cluster (Kubernetes)

  • Native Inference with Superlinked engineering support

  • Catalog of 142 models for diverse AI agent tasks

  • Supports embeddings, reranking, extraction, OCR, speech, object detection, and generation

  • Multi-model GPU sharing for optimized performance

  • Faster inference and cost-efficiency compared to leading APIs

  • Keeps inference within your own network for data privacy

  • Integrations with popular AI frameworks and vector databases

  • OpenAI compatibility for easy migration

  • Supports 25 agent tasks across six areas: search, document processing, extraction, safety, image/audio, chat/generation

  • Deployment to AWS, GCP, Azure, Alibaba Cloud, or air-gapped networks

  • Usage-based pricing for Serverless with free credits

  • Community support via GitHub issues

  • SOC2 Type 2 report available for security compliance

  1. Sign Up: Create an account in the Superlinked console to access SIE Serverless and receive $20 in free credits.

  2. Choose Deployment: Select between SIE Serverless for a hosted API or self-host SIE Local/Cluster in your own cloud.

  3. Integrate Models: Call the Superlinked API directly or use framework adapters for LangChain, LlamaIndex, and other tools.

  4. Select Models: Browse the model catalog to choose from 142 task-specific models for various AI agent jobs.

  5. Deploy to Production: Utilize Helm charts and Terraform modules for Kubernetes deployment in major cloud providers.

  6. Monitor Performance: Compare model results on public benchmarks and track Serverless pricing for cost optimization.

  • Enhanced Search and RAG
  • Document Processing
  • Data Extraction and Classification
  • Security and Compliance
  • Image and Audio Understanding
  • Chat and Text Generation
  • PII Redaction
  • Knowledge Graph Construction

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