ZeroEntropy, a San Francisco-based AI startup, has secured $4.2 million in seed funding to advance its AI data retrieval engine. The funding round was led by Initialized Capital, with participation from Y Combinator and other investors. ZeroEntropy aims to improve how AI agents retrieve, process, and utilise data, reducing inaccuracies and enhancing task reliability.
ZeroEntropy is developing an API designed to deliver fast, accurate search capabilities for AI Agent or Retrieval Augmented Generation (RAG) applications. The company's technology enhances AI systems by using retrieval-augmented generation (RAG), extracting data from external documents to support AI agents. Their proprietary re-ranker, ze-rank-1, claims to outperform existing models, setting a new industry standard. ZeroEntropy's solution is being adopted across sectors like healthcare and customer support.
The funding will be used to expand engineering and go-to-market teams. ZeroEntropy is also launching ze-rank-1, its new cross-encoder reranker that boosts top-k precision over any first-stage search. The company's mission is to build the world's most accurate search engine over complex and unstructured documents.
