m-ld.io

About m-ld.io

m-ld provides a decentralized protocol that enables real-time, read-write access to live data across multiple app instances, ensuring zero network latency and eventual consistency. This technology addresses the challenge of securely sharing and editing data among users, even in offline scenarios, without relying on centralized databases.

```xml <problem> Modern applications struggle to provide real-time, read-write data access across multiple instances, especially in offline or low-latency environments. Centralized databases introduce latency and single points of failure, while custom solutions for data sharing are complex and prone to bugs. </problem> <solution> m-ld offers a decentralized protocol for live data sharing, enabling real-time, read-write access across multiple application instances with eventual consistency. Each app instance maintains a local clone of the shared data, providing zero-latency access. Changes are propagated to all other instances, ensuring data availability and collaboration even in offline scenarios. This approach eliminates reliance on centralized databases, simplifying development and enhancing data resilience. </solution> <features> - Decentralized data protocol for real-time, read-write access - Local data clones for zero-latency operations - Automatic data synchronization across multiple app instances - Support for offline data access and collaboration - Query syntax for acting upon needed information - Data ownership uncoupled from location - Support for Javascript, Docker, Python, Rust, Swift, and .NET platforms </features> <target_audience> The primary audience includes developers building collaborative applications, teams of collaborating robots, and applications requiring decentralized data management with offline capabilities. </target_audience> ```

What does m-ld.io do?

m-ld provides a decentralized protocol that enables real-time, read-write access to live data across multiple app instances, ensuring zero network latency and eventual consistency. This technology addresses the challenge of securely sharing and editing data among users, even in offline scenarios, without relying on centralized databases.

Where is m-ld.io located?

m-ld.io is based in Petersfield, United Kingdom.

When was m-ld.io founded?

m-ld.io was founded in 2022.

Location
Petersfield, United Kingdom
Founded
2022
Employees
3 employees
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m-ld.io

Score: 18/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

m-ld provides a decentralized protocol that enables real-time, read-write access to live data across multiple app instances, ensuring zero network latency and eventual consistency. This technology addresses the challenge of securely sharing and editing data among users, even in offline scenarios, without relying on centralized databases.

m-ld.io100+
Founded 2022 – Petersfield, United Kingdom

Funding

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Team (<5)

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Company Description

Problem

Modern applications struggle to provide real-time, read-write data access across multiple instances, especially in offline or low-latency environments. Centralized databases introduce latency and single points of failure, while custom solutions for data sharing are complex and prone to bugs.

Solution

m-ld offers a decentralized protocol for live data sharing, enabling real-time, read-write access across multiple application instances with eventual consistency. Each app instance maintains a local clone of the shared data, providing zero-latency access. Changes are propagated to all other instances, ensuring data availability and collaboration even in offline scenarios. This approach eliminates reliance on centralized databases, simplifying development and enhancing data resilience.

Features

Decentralized data protocol for real-time, read-write access

Local data clones for zero-latency operations

Automatic data synchronization across multiple app instances

Support for offline data access and collaboration

Query syntax for acting upon needed information

Data ownership uncoupled from location

Support for Javascript, Docker, Python, Rust, Swift, and .NET platforms

Target Audience

The primary audience includes developers building collaborative applications, teams of collaborating robots, and applications requiring decentralized data management with offline capabilities.