ZeroEntropy
Category: AI Developer Tools
A purpose-built, developer-first context retrieval engine for LLMs, delivered via an API. It is designed to deeply understand natural language queries and retrieve accurate information from long, complex, and unstructured documents to improve the reliability of AI applications. ZeroEntropy was founded in 2024. The company is led by Ghita Houir Alami. Based in San Francisco, CA, USA. Team size: 2-10. Total funding raised: $4.2 million. Latest round: Seed, $4.2M, 2025-07, led by Initialized Capital. Key investors include Daniel Gross, Nat Friedman, Initialized Capital, Y Combinator, Transpose Platform, 22 Ventures, a16z Scout, Angel investors from OpenAI, Hugging Face, and Front.
- Founded
- 2024
- Headquarters
- San Francisco, CA, USA
- Team size
- 2-10
- Total funding
- $4.2 million
Value proposition
To provide a best-in-class retrieval engine that outperforms standard Retrieval-Augmented Generation (RAG) based on vector search, especially on complex and unstructured data, by combining multiple search techniques into a single, easy-to-use API.
Products and solutions
Context Retrieval API
Unique value
Specializes exclusively on solving the context retrieval problem for LLMs, creating a deep, purpose-built engine rather than a general-purpose framework. The company's name reflects its goal: in information theory, 'ZeroEntropy' signifies perfect predictability and accuracy.
Target customer
Developers and enterprises building AI agents and applications that rely on Large Language Models for accurate information retrieval.
Industries served
Technology, Enterprise Software, Healthcare, Legal Tech, Customer Support, Sales Tech
Technology advantage
A proprietary retrieval engine combining dense, sparse, and reranked relevance in a single API. Its purpose-built re-ranker model, 'ze-rank-1,' reportedly outperforms competitors like Cohere and Salesforce on retrieval benchmarks. The platform is designed to handle ingestion, indexing, re-ranking, and evaluation out-of-the-box.
How they differentiate
ZeroEntropy offers a specialized, high-performance retrieval engine as a managed API focused solely on context retrieval for LLMs. Unlike broader platforms or open-source frameworks, it aims to outperform standard RAG with a developer-first approach and proprietary technology. The CEO describes it as building a 'Supabase for search.'
Main competitors
Cohere, LangChain, Pinecone, MongoDB VoyageAI, Sid.ai
Key partnerships
Y Combinator (W25 Batch)
Notable customers
Names are not publicly disclosed, but customers include over 10 early-stage companies in sectors like healthcare, law, customer support, and sales.
Major milestones
Graduated from Y Combinator's W25 batch. Closed a $4.2M seed round led by Daniel Gross and Nat Friedman in July 2024.
Growth metrics
As of July 2024, the platform is being used by more than 10 early-stage companies building AI agents.
Market positioning
A specialized 'deep infrastructure' provider for the AI stack, focused on being a critical component for context retrieval.
Geographic focus
North America
Patents and IP
Information not publicly available. Assumed N/A for an early-stage software company.
About Ghita Houir Alami
Ghita Houir Alami is the Co-Founder and CEO of ZeroEntropy. Prior to this, she worked in Investment Banking at Goldman Sachs and as a Strategy and Corporate Development Analyst at OCP S.A. She has a background in quantitative research and strategy.
Official website: https://www.zeroentropy.dev/