HiveMQ provides the most trusted IoT data streaming and Industrial AI platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone.
What HiveMQ is known for:
1. MQTT-native: Built around the MQTT standard, purpose-designed for event-driven, real-time communication
2. Enterprise-grade reliability: Handles millions of concurrent connections with high availability and fault tolerance
3. Industrial-ready: Widely used in IIoT, manufacturing, automotive, energy, smart infrastructure, and data centers
4. Scalable & secure: Supports global deployments with strong security, governance, and observability
5. 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.
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SearchUnify is an enterprise Agentic AI platform that connects fragmented enterprise knowledge and deploys autonomous AI agents to handle customer support operations from first contact to resolution. At its core, the platform is powered by SearchUnifyFRAGâ„¢ (Federated Retrieval Augmented Generation), Agentic RAG, and the SCORE (Contextual Relevance Engine) framework, enabling accurate, grounded responses drawn from unified enterprise data.
The product suite spans five core tools. Cognitive Search retrieves contextually relevant answers across distributed knowledge sources. SearchUnifyGPTâ„¢ generates cited AI responses at every support touchpoint. SUVA, the virtual assistant, handles multi-turn conversations autonomously. Knowbler supports knowledge capture, structuring, and surfacing at the point of need. Agent Helper delivers next-best-action recommendations to support agents during live case resolution.
Extending these capabilities, the Agentic AI Suite comprises eight AI agents: AI Support Agent for self-service resolution, AI SupportPlus Agent for autonomous CRM ticket handling, AI Classification Agent for case tagging and routing, AI Escalation Manager for escalation risk prediction, AI Knowledge Agent for automated content creation and gap detection, AI Competency Agent for L2 technical workflow resolution, AI Agent Partner for real-time agent guidance, and AI Case Quality Auditor for evaluating every closed case.
SearchUnify supports BYOLLM for LLM flexibility, Model Context Protocol (MCP) for secure system connectivity, and a governance layer covering role-based access control, PII masking, and ISO 27001, HIPAA, and SOC 2 compliance. The platform connects with 100+ enterprise tools including Salesforce, Zendesk, and ServiceNow.
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Siemens Industrial Copilot
Siemens Industrial Copilot serves as an AI-powered assistant designed to boost the productivity of industrial firms by refining workflows, expanding operations, and promoting innovation across the entire industrial value chain, which includes everything from design and planning to engineering, operations, and service. Developed in partnership with Microsoft, this innovative tool enhances collaboration between human workers and machines by automating repetitive tasks, reducing workloads, and tackling skill shortages in the workforce. Engineering teams enjoy the advantage of being able to create, fine-tune, and troubleshoot complex automation code, resulting in quicker development cycles and increased productivity. Maintenance staff can take advantage of a chatbot interface to describe equipment issues, find information, troubleshoot machinery, and investigate suggested solutions. By supporting critical maintenance tasks, ranging from setup to resolution, it plays an essential role in reducing machine downtime and improving overall operational efficiency. Furthermore, the implementation of Siemens Industrial Copilot represents a major milestone in transforming the management and optimization of industrial processes, ultimately paving the way for a more streamlined and effective approach to manufacturing challenges. This evolution underscores the importance of technology integration in achieving sustainable growth in the industrial sector.
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Cognite Atlas AI
Cognite Atlas AI is a low-code platform tailored for industrial AI agents that utilizes AI-ready data to optimize workflows and improve business outcomes across a wide array of organizations. Featuring an intuitive low-code interface, along with ready-made agent templates and specialized tools for industrial applications, digital teams can easily design, adjust, and implement AI agents without any coding experience. Powered by Cognite Data Fusion's Industrial Knowledge Graph, the platform provides agents with contextual industrial insights, which ensure reliable information delivery and enable the automation of complex tasks pertinent to the sector. It effectively combines various data types, including time-series data, events, documents, visual data streams, and 3D engineering models, breaking down data silos and offering precise solutions to difficult problems. Users are empowered to create tailored AI applications that can interpret industry-specific terminology, processes, and regulations, thus aiding in workflows such as root cause analysis, equipment troubleshooting, and operational decision-making. This forward-thinking method not only enhances operational efficiency but also promotes a more profound comprehension of the elements that influence industrial processes. Moreover, the platform's capability to adapt and evolve with user needs ensures that businesses can stay ahead in an ever-changing industrial landscape.
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