EMQ and DADOS Partner to Deliver Real-Time Industrial Intelligence for Agentic AI
The collaboration combines MQTT-native data infrastructure with in-memory industrial intelligence for real-time agentic decision-making.
MENLO PARK, Calif., July 7, 2026 — EMQ, the company behind the EMQX Platform for device connectivity, real-time data movement, and system coordination across IoT and AI environments, today announced a strategic partnership with DADOS Technology, provider of an in-memory industrial intelligence layer for Industry 5.0. Built on MQTT and Sparkplug B, the integration combines EMQ’s real-time MQTT infrastructure with DADOS’ in-memory industrial intelligence layer, enabling AI agents, analytics systems, and industrial operators to act on live telemetry in under 10 milliseconds.
As industrial AI evolves from monitoring to action, the definition of real-time is changing. For years, many industrial systems treated one-second intervals as real time because human operators were the primary consumers of the data. But every physical process runs inside a control window, the finite span in which a change must be detected, evaluated, and acted on before the process moves past the point where the decision still matters. These windows can be as short as tens of milliseconds, so data that arrives a full second later is already too late. To act inside the window, an AI agent needs the underlying operational state to be decision-ready with enough margin left to take action.
The EMQX Platform provides the real-time foundation for this architecture, connecting industrial devices, edge gateways, applications, and AI systems through secure, scalable MQTT infrastructure. At the edge, EMQX Neuron translates industrial protocols into MQTT, while EMQX Edge provides lightweight messaging for local environments. The EMQX broker supports production MQTT deployments across self-managed and fully managed environments, while EMQX Tables provides time-series storage for analytics and model training. EMQX Agents and EMQX Fleets add cloud-native capabilities for agent coordination and device-level action.
DADOS extends this integration with a real-time industrial intelligence layer that turns live telemetry into a decision-ready state for AI systems and operators. DADOS Flow connects as a read-only shared subscriber to the EMQX Platform, continuously ingests MQTT and Sparkplug B data without affecting existing control systems, then decodes Sparkplug B payloads into Apache Arrow. DADOS Lightning+ continuously maintains that data as a decision-ready operational state, including derived fields, within rolling windows. Because the state is kept current as data arrives, an agent retrieves an already-realized answer rather than running a query, keeping each response inside the control window.
Together, EMQ and DADOS pair transport-layer speed with decision-layer speed, creating a unified architecture for connecting, understanding, and acting on industrial data. As the EMQX Platform moves MQTT data across edge, enterprise, and cloud environments, DADOS transforms live telemetry into a decision-ready state for time-sensitive applications. From there, the architecture can expose decision-ready state through MCP over MQTT for EMQX Agents, while EMQX Fleets supports device-level actions through device shadows and command channels.
The joint solution is designed for industrial AI use cases where milliseconds matter. Key capabilities include:
- Sub-10 millisecond end-to-end device-to-decision latency for time-sensitive industrial operations
- Decision-ready operational state in under 30 milliseconds
- Scalability to 3 million metrics per second on a single cloud node
- Read-only deployment with zero interference and zero operational risk to existing control systems
The combined solution supports a range of industrial AI use cases:
- Manufacturing: AI agents can analyze changes in heat, vibration, acoustic, and drive-current data to identify early signs of quality drift, tool wear, or equipment degradation before they impact production. For example, glass forming lines can require heat monitoring at more than 10,000 measurements per second to prevent bubbles and cracks, while vibration analysis can move from monthly manual checks to in-stream bearing failure detection.
- Energy and smart grid: AI systems can use live operational state to detect frequency changes and support faster responses, such as ramping battery storage output within configured limits before a deviation propagates across the grid.
- Industrial edge: Oil and gas operators can analyze tubing pressure, casing pressure, and motor current locally for real-time plunger lift optimization, with no cloud round-trip required and without relying on 15-minute polling intervals.
- Data centers: AI agents can track facility power, cooling, and environmental conditions as a live operational state to keep pace with AI workloads, where synchronized GPU clusters can swing power draw within milliseconds, so power and cooling responses stay inside the control window.
“Industrial AI is moving from observation to action, and that shift requires infrastructure that can connect, coordinate, and act across distributed systems in real time,” said Benniu Ji, VP of Products at EMQ Technologies. “By combining the EMQX Platform with the DADOS platform, enterprises can move from live data streaming to live operational intelligence, giving AI-driven systems the context they need to respond while the process is still in motion.”
“Industrial settings put agentic AI on a clock. The agent has to sense, decide, and act inside the control window the physical process allows, or the decision is worthless,” said Ken Gardner, CEO of DADOS Technology. “Pairing DADOS with the EMQX Platform is what makes that practical: EMQ’s real-time data movement, and a live, decision-ready state from DADOS that agents can act on immediately.”
Availability
The EMQ and DADOS architecture can be implemented today using each company’s existing products, including the EMQX Platform and the DADOS platform. Customers can begin adopting the combined architecture across cloud, hybrid, BYOC, and edge environments based on their deployment needs. Joint integration assets, best practices, and technical enablement resources will follow as the collaboration expands.
About EMQ
EMQ is the company behind EMQX, a unified MQTT-based platform for device connectivity, real-time data movement, and system coordination across IoT and AI environments. EMQX connects, processes, stores, and streams data from edge to cloud, enabling organizations to build scalable, reliable, and secure infrastructure that integrates systems and coordinates operations across industrial environments, connected devices, and emerging autonomous applications. Deployed by more than 1,500 customers worldwide and connecting over 500 million devices, EMQX powers real-time operations across manufacturing, automotive, energy, and beyond.
For more information, visit www.emqx.com, follow EMQ on LinkedIn, and @EMQTech on X.
About DADOS Technology
DADOS Technology provides a real-time industrial intelligence layer for Industry 5.0. The DADOS platform transforms high-volume industrial telemetry into a decision-ready operational state in under 30 milliseconds, with sub-millisecond state-retrieval latency at P99 (5.3 ms worst-case). DADOS Flow and DADOS Lightning+ maintain a live in-memory operational state, enabling AI agents and applications to analyze industrial conditions in real time. The platform deploys alongside existing control infrastructure in read-only mode with zero operational risk to existing control systems. Visit www.dadostech.com.
Media Contacts
EMQ Technologies
Brandon Ruiz, Product Marketing Manager
(800) 557-8132
DADOS Technology
Sharon Handy, Director of Marketing