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ZeroEntropy: AI-powered rerankers & embeddings for human-level search. Faster, smarter retrieval.
ZeroEntropy delivers advanced AI-powered rerankers and embeddings designed to elevate search and retrieval systems to a human level of understanding. It tackles the limitations of traditional search methods, which often struggle with nuance, context, and domain-specific details, leading to incomplete answers and wasted resources. By leveraging state-of-the-art technology, ZeroEntropy bridges the gap between speed and semantic accuracy, offering enterprise-grade reliability for sophisticated search applications.
The platform's core technology stack includes cutting-edge rerankers like zerank-1, which significantly boosts search accuracy with a single line of code and outperforms leading models. Complementing this are zembed-1 embeddings, designed to drastically reduce vector database storage costs. For a seamless experience, ZeroEntropy also offers an end-to-end search engine, enabling developers to implement powerful AI search in just a few lines of code, thereby focusing on core product development rather than infrastructure complexities.
ZeroEntropy is engineered for performance, offering impressive accuracy, low latency, and transparent pricing. The platform is built with enterprise-grade security, including SOC 2 Type II compliance and HIPAA readiness, ensuring data protection and compliance for sensitive applications. This focus on security and performance makes ZeroEntropy a trusted solution for companies across various industries seeking to enhance their search capabilities.
ZeroEntropy is ideal for developers, data scientists, and businesses looking to build sophisticated search and retrieval systems. It's particularly valuable for applications requiring deep understanding of content, such as customer support, legal research, healthcare information retrieval, and infrastructure data management. The platform's ease of integration and focus on developer experience make it accessible for a wide range of projects aiming for human-level search accuracy.
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Pricing Model
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State-of-the-art reranker that outperforms models like Cohere's rerank 3.5, significantly boosting search accuracy with minimal code integration.
New embedding model designed to reduce vector database storage costs by up to 10x, offering a more economical solution for large-scale data.
An end-to-end search engine that allows for the quick deployment of functional AI search in just a few lines of code.
Combines state-of-the-art rerankers, embeddings, and hybrid retrieval to understand meaning and context, not just keywords.
Enterprise-grade security including SOC 2 Type II compliance and HIPAA readiness to ensure data protection and compliance.
