Best Industrial AI Software for Linux of 2026

The HiveMQ Platform provides a scalable, reliable data backbone with an event-driven MQTT architecture. Here are a few highlights: 1. MQTT Broker: At the heart of the HiveMQ platform is a fully MQTT-compliant broker purpose-built for fast, reliable, bi-directional data movement between IoT devices and enterprise systems. 2. Edge Data Integration: HiveMQ Edge seamlessly integrates edge data by converting industrial protocols into standardized MQTT, enabling an interoperable IIoT infrastructure. 3. IoT Streaming Governance: Data Hub transforms data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems. 4. UNS & IT/OT convergence Enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability. 5. Distributed Data Intelligence: HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most. 6. Maximum Interoperability: Runs anywhere on-premises or in public or private clouds. Efficiently connects to streaming applications, databases and data lakes with a Java SDK to build your own 7. Scalability to Support Growth: Elastic scaling with automatic data balancing and smart message distribution. Proven benchmark of up to 200M active clients with 1.8B messages/hour 8. Business Critical Reliability: Zero message loss with persistence to disk and offline queuing. No single point of failure due to masterless cluster architecture and zero downtime upgrades

A powerful solution to accelerate computational experiments. This allows non-developers or non-ML researchers obtain results quickly and effectively. It optimizes resource usage and streamlines scientific experiment orchestration for maximum efficiency. It facilitates team collaboration, computational modeling, and instant result sharing with its intuitive low-code interface. The platform's optimized resources management ensures seamless orchestration of hybrid infrastructure, integrating HPC hardware and on-prem servers for scientific use. It also improves experiment reproducibility, and allows interactive result sharing to improve research transparency and collaboration.

Built on a workflow-driven, composable application architecture that allows organizations to turn on only the operations they need and then implement them. This reduces the time-to market of traditional MES solutions. Symphony's manufacturing operations management software includes: Pre-built library with thousands of processes (shipping/receiving and quality execution), hundreds connectors (ERP. PLC. Sensors. MOM applications). - Low code, drag & drop visual workflow-based application composer; enables rapid deployment with pre-built MES & Operations applications, as well as configuring/deploying new solutions using our low-code library to your site's specific needs. - Enterprise Management - AI Continuous Improvement MOM 360™, powered by a microservices architecture and connected by a high speed service bus, provides robust, reliable, and low latency operations required for manufacturing mission control system systems.

SparkCognition, an industrial AI company, has created a natural language processing solution that automates the workflows of unstructured data within companies so that humans can concentrate on high-value business decisions. DeepNLP uses machine learning to automate the retrieval, classification, and analysis of information. DeepNLP integrates with existing workflows to allow organizations to respond more quickly to changes in their businesses and get quick answers to specific queries.