ZeroEntropy
Specialized AI models for every search and RAG pipeline
ZeroEntropy provides specialized AI models and retrieval infrastructure for search and RAG pipelines. It trains small, focused rerankers, embeddings, and custom models intended for production AI systems, addressing the latency, accuracy, and cost constraints that can come with generalist alternatives.
The product line includes the zerank-2 reranker, the zembed-1 embedding model, and custom-trained models for tasks such as query rewriting and context compression. Models are accessible through a single API with Python and TypeScript SDKs, as well as through partner providers. The Search API supports OCR, indexing, storage, queries, reranking, and embeddings, and an MCP server is available. Deployment options include ZeroEntropy VPC on AWS Marketplace and Azure, plus on-premises infrastructure. The platform supports SOC 2 Type II, HIPAA, GDPR, and CCPA compliance.
ZeroEntropy is aimed at developers and teams building production AI applications, agents, and retrieval systems. Models are priced per million tokens on a usage basis, with a pay-as-you-go Search API covering OCR, indexing, storage, and queries. An Enterprise tier adds volume discounts, VPC deployment, an SLA, custom integrations, and priority support; on-premises model licensing and deployment are available by contact.
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