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What is ZeroEntropy?

ZeroEntropy is a next-generation search and retrieval platform built to power accurate, context-aware information access. It addresses the shortcomings of traditional lexical and vector search by focusing on semantic understanding. The platform combines advanced rerankers, high-quality embeddings, and hybrid retrieval techniques. This enables search systems to capture nuance, intent, and domain-specific knowledge. ZeroEntropy’s models consistently achieve top results on industry benchmarks for relevance and speed. With millisecond-level latency, it supports real-time, high-volume search workloads. Developers can integrate the platform quickly using secure, well-documented APIs. ZeroEntropy is designed to work across any tech stack with minimal setup. It is trusted across industries including customer support, legal, healthcare, and AI infrastructure. The platform balances performance, accuracy, and cost efficiency. Built-in scalability makes it suitable for enterprise environments. Overall, ZeroEntropy enables truly human-level search and retrieval at scale.

What is Randamu?

Randamu is at the forefront of delivering decentralized cryptographic infrastructure designed to empower the next generation of secure, verifiable, and automated digital systems. Focused on Web3 developers, blockchain protocols, and decentralized applications, Randamu offers critical building blocks such as publicly verifiable randomness, which guarantees unbiased and tamper-resistant outcomes essential for secure cryptographic functions. It also provides time-locked encryption that allows data to remain encrypted until a predetermined time, enhancing security for time-sensitive digital interactions. Additionally, Randamu enables cross-chain orchestration, connecting multiple blockchain networks to operate cohesively in a decentralized manner. The company is renowned for stewarding the Drand protocol, an open-source, distributed randomness beacon that serves as a reliable source of unbiased randomness for various cryptographic use cases. Randamu also leads the League of Entropy, a consortium of independent entities committed to trust-minimized coordination and transparency across decentralized systems. These technologies collectively foster secure, transparent, and efficient operations within the rapidly evolving Web3 landscape. By providing this foundational infrastructure, Randamu plays a vital role in helping developers and organizations build resilient decentralized applications and services. Its commitment to openness and collaboration makes it a trusted partner in advancing cryptographic innovation. Randamu’s work ultimately strengthens the integrity and reliability of the broader decentralized ecosystem.

Media

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Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ZeroEntropy

Date Founded

2024

Company Location

United States

Company Website

www.zeroentropy.dev

Company Facts

Organization Name

Randamu

Date Founded

2023

Company Location

United States

Company Website

randa.mu

Categories and Features

Encryption

Central Policy Enforcement
Drag & Drop UI
Email Encryption
Encryption Key Management
Endpoint Encryption
File Compression
File Encryption
Full Disk Encryption
Public Key Cryptography
Tokenization / Data Masking

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