ZeroEntropy offers a developer-focused API that handles ingestion, indexing, re-ranking, and evaluation to improve retrieval-augmented generation (RAG) for AI agents. At its core is a proprietary re-ranker called ze-rank-1, which the company says outperforms models from Cohere and Salesforce on public and private retrieval benchmarks. The product is positioned as a “Supabase for search,” aimed at making accurate, fast retrieval systems easy to deploy and maintain rather than stitching together disparate tools or dumping knowledge into LLM context windows. The startup targets developers building AI agents across verticals such as healthcare, law, customer support, and sales. More than 10 early-stage companies are already using ZeroEntropy. Financially, the company has just closed a seed financing of $4.2 million to scale its retrieval infrastructure and operations.

Total raised

$4M

Funding rounds

1

Latest round

Seed

Latest activity

Jul 2025