List of Bevywise Networks Mqtt Platform Customers
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Since 2010, our global team of researchers has been studying Bevywise Networks Mqtt Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Bevywise Networks Mqtt Platform for IoT Platform from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Bevywise Networks Mqtt Platform for IoT Platform include: Celikler Holding, a Turkey based Utilities organisation with 10001 employees and revenues of $800.0 million, Indo-Mim, a India based Manufacturing organisation with 3628 employees and revenues of $403.0 million, Fab Controls United Kingdom, a United Kingdom based Professional Services organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Bevywise Networks Mqtt Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Celikler Holding | Utilities | 10001 | $800M | Turkey | Bevywise Networks | Bevywise Networks Mqtt Platform | IoT Platform | 2018 | n/a |
In 2018, Celikler Holding implemented Bevywise Networks Mqtt Platform to centralize real-time monitoring across its power plants in Turkey. The deployment focused on energy and power plant monitoring using the Bevywise Networks Mqtt Platform as an IoT Platform intended to improve operational visibility and plant reliability.
The implementation deployed the vendor MQTT broker and a Modbus to MQTT gateway, providing secure Modbus to MQTT data transfer from plant PLCs and field devices. Configuration work included live KPI dashboards for plant operations, telemetry ingestion pipelines, topic design and client authentication, and broker-side message routing consistent with IoT Platform functional workflows.
Operational coverage centralized telemetry from multiple power plant sites in Turkey, with operations and engineering teams consuming dashboarded KPIs and real-time alerts. Integrations were concentrated on Modbus field interfaces bridged by the Modbus to MQTT gateway into the Bevywise MQTT broker, enabling a messaging layer for plant telemetry.
Governance work reorganized monitoring workflows around a single MQTT messaging layer and dashboard-driven operational processes for KPI surveillance and event awareness. The deployment emphasized secure Modbus to MQTT data transfer and live KPI visualization, improving operational visibility and plant reliability as described in the vendor case study.
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Fab Controls United Kingdom | Professional Services | 10 | $1M | United Kingdom | Bevywise Networks | Bevywise Networks Mqtt Platform | IoT Platform | 2019 | n/a |
In 2019, Fab Controls United Kingdom implemented Bevywise Networks Mqtt Platform as the central broker for its EmMonIT emergency lighting monitoring solution, categorized as IoT Platform. The UK deployment focused on building management systems, energy and lighting environments where device telemetry is streamed to cloud pub/sub endpoints and visualized on dashboards to enable real time fault detection, remote access and alerting.
The Bevywise Networks Mqtt Platform served as the MQTT broker responsible for device connectivity, telemetry ingestion, pub/sub routing and rule based alerting. Configuration work emphasized topic hierarchies for emergency lighting assets, authentication and secure telemetry channels, along with dashboard feeds to support continuous operational monitoring and remote diagnostics.
Integrations concentrated on forwarding streamed telemetry to cloud pub/sub and dashboard systems to consolidate visibility across BMS, energy and lighting systems within the United Kingdom. Operational coverage impacted maintenance and compliance functions supporting the EmMonIT service, enabling remote fault triage and escalation into existing maintenance workflows.
Governance shifted toward centralized monitoring ownership at Fab Controls United Kingdom with formalized alerting and escalation procedures for emergency lighting management. The deployment delivered improved compliance visibility and faster maintenance response times as described in the implementation case.
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Indo-Mim | Manufacturing | 3628 | $403M | India | Bevywise Networks | Bevywise Networks Mqtt Platform | IoT Platform | 2020 | n/a |
In 2020, Indo-Mim implemented Bevywise Networks Mqtt Platform to build an IIoT and Manufacturing Execution System stack for its factories. The IoT Platform deployment in India focused on a manufacturing digital factory use case, connecting shop floor CNC machines and molding lines to provide real time production visibility.
Bevywise Networks Mqtt Platform was configured to provide the MQTT protocol based IIoT infrastructure and MES driven functional modules including production monitoring, bottleneck detection, and equipment performance monitoring. The implementation covered data ingestion from machine sensors, telemetry handling, event detection and rule processing, and dashboarding for operators and production managers.
Integrations were executed at the device and control layer to aggregate telemetry from CNC controllers and molding line equipment into MES workflows, enabling operational analytics and throughput focused monitoring. Rollout governance emphasized shop floor operational coverage across the India manufacturing site and restructured workflows toward MES driven visibility and throughput improvements, with stated outcomes of enhanced production visibility, bottleneck detection and improved equipment performance.
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