The Engine For Human-Level Search.

Frustrated by latency and accuracy of your retrieval layer?

ZeroEntropy provides an API to deliver fast, human-like, and accurate search for your AI Agent or RAG application.

Frustrated by latency and accuracy of your retrieval layer? ZeroEntropy provides an API to deliver fast, human-like, and accurate search for your AI Agent or RAG application.

Frustrated by latency and accuracy of your retrieval layer? ZeroEntropy provides an API to deliver fast, human-like, and accurate search for your AI Agent or RAG application.

Introducing ZeroEntropy

ZeroEntropy is an adaptive AI retrieval engine that understands context, learns from every query, and delivers accurate, personalized results—out of the box.

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Seriously Secure

ZeroEntropy is built with enterprise-grade security at its core. From SOC 2 Type II compliance to HIPAA readiness, we protect your data with the highest standards — so you can focus on building, not worrying.

Build

Your Own Search

Weeks lost stitching vector DBs, pipelines, and rerankers

Weeks lost stitching vector DBs,

pipelines, and rerankers

Endless tuning, testing, and debugging cycles

Endless tuning, testing,

and debugging cycles

Each fix adds complexity, maintenance, and latency

Each fix adds complexity,

maintenance, and latency

Teams reinvent the wheel—still miss on accuracy

Teams reinvent the wheel—still

miss on accuracy

With

One API for cutting-edge retrieval — live in a day

One API for cutting-edge retrieval —

live in a day

Accuracy and latency improve automatically

Accuracy and latency

improve automatically

No system to maintain, saving weeks of engineering

No system to maintain,

saving weeks of engineering

Free your team to focus — ZeroEntropy does the heavy lifting

Free your team to focus —

ZeroEntropy does the heavy lifting

Empower Your Product with Advanced AI Retrieval

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Context Aware

ZeroEntropy understands data holistically—knowing what’s in the corpus, what’s not, and the context behind queries. It aligns with users’ intentions, adapting to how users work and the questions they ask.

Self Improving

With every query and interaction, ZeroEntropy gets smarter. It learns the user’s style, adapts to their intentions, and evolves to deliver increasingly accurate and relevant results over time.

Adaptive

ZeroEntropy dynamically chooses the best retrieval strategies, deciding where to search, when to dig deeper, and how to refine results—just like a skilled human would.

1K

Developers

1K

Queries

1M

Documents

1B

Tokens

1K

Developers

1K

Queries

1M

Documents

1B

Tokens

1K

Developers

1K

Queries

1M

Documents

1B

Tokens

Deployment Options

Deployment Options

Deployment Options

ZeroEntropy API

Self-Serve API

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Cloud Providers

SaaS / in-VPC

Book a Demo

Custom Deployment

Custom and on prem

Book a Demo

Put Your Retrieval in Autopilot Now

Work directly with the founders to shape the future of agentic retrieval.

Talk to a Founder

Common Questions

1. What makes ZeroEntropy different from traditional search engines?

Traditional search uses static keyword or semantic matching. ZeroEntropy dynamically adapts retrieval strategies based on the context, the data, and user intent—like a human researcher would.

2. Can I use this with my internal documents or private data?

3. How does the self-improving engine work?

4. Is there a free trial?

5. How fast is the ingestion process?

6. What kind of support is offered?

7. Is it easy to integrate with my product?

1. What makes ZeroEntropy different from traditional search engines?

Traditional search uses static keyword or semantic matching. ZeroEntropy dynamically adapts retrieval strategies based on the context, the data, and user intent—like a human researcher would.

2. Can I use this with my internal documents or private data?

3. How does the self-improving engine work?

4. Is there a free trial?

5. How fast is the ingestion process?

6. What kind of support is offered?

7. Is it easy to integrate with my product?

1. What makes ZeroEntropy different from traditional search engines?

Traditional search uses static keyword or semantic matching. ZeroEntropy dynamically adapts retrieval strategies based on the context, the data, and user intent—like a human researcher would.

2. Can I use this with my internal documents or private data?

3. How does the self-improving engine work?

4. Is there a free trial?

5. How fast is the ingestion process?

6. What kind of support is offered?

7. Is it easy to integrate with my product?

Get started with

Our retrieval engine runs autonomously with the 

accuracy of a human-curated system.

GitHub

Discord

Slack

Enterprise

Contact us for a custom enterprise solution with custom pricing