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.
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