ZeroEntropy

High accuracy search API over unstructured data.

Artificial Specialized Intelligence

We are on a mission to build the world’s most accurate search engine over complex and unstructured documents. Most AI products - whether Q&A bots or AI agents - depend on retrieval systems to provide relevant context from knowledge bases. Yet, the vast majority of these systems rely on basic semantic or hybrid search methods, which still frequently fail. These mistakes lead to inaccurate responses and hallucinations by LLMs, frustrating developers and end users alike. That is why we’re building ZeroEntropy: to add intelligence to retrieval and empower developers to create AI products that are more reliable and accurate.

We are on a mission to build the world’s most accurate, fastest, and cheapest task-specific models for every production AI system. Most AI products, whether copilots, agents, or search systems, depend on frontier LLMs to handle every step of their pipeline. Yet, the vast majority of these steps are narrow, repeatable workloads: reranking, embedding, classification, routing, query rewriting, context compression, where frontier intelligence is overkill. Running them on general-purpose models is slow and expensive, capping what production AI can achieve. That is why we're building ZeroEntropy: to train small, task-specific models that replace frontier LLMs on these workloads, and empower developers to ship AI products that are more accurate, faster, and cheaper.