Coreflux is an Internet of Things (IoT) platform that utilizes MQTT brokers and a domain-specific language to facilitate real-time data exchange and automation across diverse industrial applications. It addresses the challenges of complex device integration and inefficient data management, enabling businesses to streamline operations and reduce implementation time significantly.
Funding
$2.2M 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
Integrating diverse industrial devices and managing real-time data streams from them presents significant challenges, often requiring complex code changes and custom integrations. Traditional methods for system architecture definition and data collection are time-consuming and can hinder the implementation of effective IoT solutions.
Solution
Coreflux is an Industrial IoT platform designed to streamline device integration and data management through its MQTT broker and domain-specific language. The platform enables users to rapidly deploy complex system architectures by providing pre-built, configurable assets and a unified data hub. Coreflux simplifies the process of connecting disparate machines, collecting data automatically, and implementing real-time solutions, reducing implementation time and minimizing the need for extensive coding.
Target Audience
Coreflux targets industrial companies in sectors such as manufacturing, energy, automotive, and pharmaceutics that are seeking to implement or improve their IoT infrastructure for data collection, automation, and real-time monitoring.
Features
- Online MQTT broker with support for TLS encryption and Websocket/TCP/IP connections
- Asset library with pre-built integrations for databases (SQL, NoSQL, MariaDB, Postgresql, Firebase), messaging platforms (Slack), and industrial protocols (Modbus, OPC UA, EthernetIP, FINS, Allen Bradley)
- Hubless command-line interface for scalable and customizable deployments
- Microservice architecture with independently configurable and deployable components
- Real-time data exchange and synchronization between MQTT brokers and other systems
- Support for edge computing, enabling orchestrated ML training and dynamic resource management
- Resource monitoring and management tools for memory consumption, hardware analysis, and edge utilization