Mycelial provides a peer-to-peer data synchronization platform that connects Edge and Cloud SQLite instances without requiring data middleware. This solution minimizes engineering effort while ensuring reliable data delivery and integrity in real-world environments, making it ideal for applications like AIML data synchronization in challenging conditions.
Funding
$3.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations face challenges in efficiently synchronizing data between edge devices and cloud infrastructure, often relying on complex and brittle data middleware solutions. Traditional methods can be cumbersome to implement and maintain, particularly in environments with limited resources or intermittent connectivity. This complexity hinders the seamless flow of data required for real-time analytics and AI applications at the edge.
Solution
Mycelial provides a peer-to-peer data synchronization platform designed to connect Edge and Cloud SQLite instances without the need for extensive data middleware. The platform enables users to create declarative data pipelines that facilitate data movement from source systems, such as SQLite, to destination systems like Snowflake and Amazon Redshift. Mycelial's solution comprises daemons installed on source and destination computers, which register with a control plane to receive data pipeline specifications. The control plane offers a drag-and-drop web interface and API for setting up data pipelines, simplifying the process of moving data between systems.
Target Audience
The primary target audience includes organizations deploying AI/ML applications at the edge, particularly those in industries such as the US Navy and retail (e.g. Walmart), who require reliable and efficient data synchronization between edge devices and cloud platforms.
Features
- Peer-to-peer data synchronization between edge devices and cloud infrastructure
- Declarative data pipelines for defining data movement from source to destination
- Support for SQLite, Postgres, MySQL, Kafka, Snowflake, and Amazon Redshift
- Encryption in motion to secure data during transfer
- Role-based access control (RBAC) for simplified permissions management
- Tolerance of network pressure with redundant routers to prevent data loss
- Guaranteed data delivery through peer acknowledgement of data receipt
- Automatic reconnection attempts by clients to ensure data integrity