List of FogHorn Lightning EdgeML Customers
Johnson Controls
One Albert Quay,
Cork, T12 X8N6,
Ireland
Cork, T12 X8N6,
Ireland
353 21-423-5000
Professional Services
94000
$23.0B
Since 2010, our global team of researchers has been studying FogHorn Lightning EdgeML 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 FogHorn Lightning EdgeML for ML and Data Science Platforms 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 FogHorn Lightning EdgeML for ML and Data Science Platforms include: Schindler Elevator Corporation (U.S.), a United States based Manufacturing organisation with 20000 employees and revenues of $10.45 billion, DAIHEN Corporation, a Japan based Manufacturing organisation with 3783 employees and revenues of $1.17 billion, VIA ELECTRONICS CO., LTD., a Taiwan based Manufacturing organisation with 1000 employees and revenues of $184.0 million and many others.
Contact us if you need a completed and verified list of companies using FogHorn Lightning EdgeML, 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 Machine Learning software purchases.
The FogHorn Lightning EdgeML customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Machine Learning software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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DAIHEN Corporation | Manufacturing | 3783 | $1.2B | Japan | Johnson Controls | FogHorn Lightning EdgeML | ML and Data Science Platforms | 2018 | n/a |
In 2018, DAIHEN Corporation deployed FogHorn Lightning EdgeML to automate production of industrial transformers and to centralize materials quality monitoring at its Osaka factory. FogHorn Lightning EdgeML was implemented as an ML and Data Science Platforms solution to deliver on-premises, edge-based machine learning and real-time analytics across constrained industrial devices.
The implementation focused on real-time analytics and model inferencing at the edge, using FogHorn Lightning EdgeML to run complex machine learning models on-site. Functional capabilities included continuous ingestion and preprocessing of sensor streams, anomaly detection to identify production errors immediately, and visual analytics to support operators during the assembly process. The deployment automated monitoring tasks that had previously required manual logging and inspection, enabling automated tracking of how each part was assembled and stored and how long each production stage took.
Integrations included a radio frequency identification infrastructure and a network of environmental sensors measuring temperature, humidity, and dust, with Energia Communications, Inc collaborating on system deployment. FogHorn Lightning EdgeML ingested RFID and sensor telemetry to correlate material condition and process timing with quality signals, operating across dozens of devices within the Osaka plant. Within six months of deployment the RFID tracking achieved 70 percent coverage and was reported to be on track to approach full coverage later in the year.
Governance and operational impact centered on factory operations and quality management, where the solution reduced reliance on manual monitoring and improved data accuracy and team collaboration. The project explicitly eliminated 5,000 hours of manual data entry per year and enabled faster detection of production defects, shifting inspection workflows toward automated edge analytics and operator-facing visualizations.
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Schindler Elevator Corporation (U.S.) | Manufacturing | 20000 | $10.5B | United States | Johnson Controls | FogHorn Lightning EdgeML | ML and Data Science Platforms | 2017 | n/a |
In 2017 Schindler Elevator Corporation implemented FogHorn Lightning EdgeML as an ML and Data Science Platforms deployment to deliver real-time edge analytics on elevator telemetry. The FogHorn Lightning EdgeML implementation was aimed at generating actionable insights into elevator activity to enable predictive and pre-emptive maintenance for Schindler and its customers.
FogHorn Lightning EdgeML was configured to perform on-device model inference and streaming analytics, ingesting sensor telemetry, extracting features, and executing anomaly detection and event classification locally. Functional capabilities implemented included telemetry ingestion, feature engineering at the edge, lightweight machine learning inference, and rules-based alerting to surface maintenance triggers with low latency.
Operational coverage centered on field service and maintenance functions, with edge-generated alerts and activity insights routed into Schindler service workflows and customer maintenance planning. Governance emphasized operationalizing alerts into inspection and repair processes, and the edge intelligence enabled predictive and pre-emptive maintenance that reduced service disruption and lowered inspection and repair fees by about $2,000 per event.
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VIA ELECTRONICS CO., LTD. | Manufacturing | 1000 | $184M | Taiwan | Johnson Controls | FogHorn Lightning EdgeML | ML and Data Science Platforms | 2018 | n/a |
In 2018, VIA ELECTRONICS CO., LTD. deployed FogHorn Lightning EdgeML as the core ML and Data Science Platforms implementation within its VIA Edge AI platform, targeting real time edge inference across manufacturing and smart infrastructure use cases. The deployment was designed to enable on device and local edge processing for immediate analytic response and reduced reliance on cloud round trips.
FogHorn Lightning EdgeML was configured to ingest sensor telemetry for real time data processing, model inference, and edge based machine learning workflows. Implemented functional capabilities included sensor data collection, feature extraction, anomaly detection, classification for correct identification, and short term predictive models, using FogHorn Lightning EdgeML streaming analytics and model management to run inference close to the source. The configuration emphasized continuous edge inference and model updates to support operational decisioning at device level.
Operational coverage focused on industrial, transportation, and smart city applications, moving telemetry from distributed sensors through edge processing and selectively forwarding aggregated results to cloud systems for historical analytics and model lifecycle management. The integrated VIA Edge AI platform solution centralized configuration and model deployment across distributed edge nodes to accelerate edge to cloud data processing and streamline operational rollout. This architecture supported real time identification and anomaly detection at the edge while retaining a cloud tier for longer term analytics.
Governance incorporated standardized model deployment and runtime monitoring across edge nodes, with processes to push updated models and analytics rules through the VIA platform to distributed sites. VIA positioned the FogHorn Lightning EdgeML implementation to help customers accelerate deployment timelines and to open opportunities to reduce costs, improve efficiency, and optimize business results. FogHorn Lightning EdgeML therefore serves as VIA ELECTRONICS CO., LTD. application in the ML and Data Science Platforms category for edge AI use cases.
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Buyer Intent: Companies Evaluating FogHorn Lightning EdgeML
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FAQ - APPS RUN THE WORLD FogHorn Lightning EdgeML Coverage
FogHorn Lightning EdgeML is a ML and Data Science Platforms solution from Johnson Controls.
Companies worldwide use FogHorn Lightning EdgeML, from small firms to large enterprises across 21+ industries.
Organizations such as Schindler Elevator Corporation (U.S.), DAIHEN Corporation and VIA ELECTRONICS CO., LTD. are recorded users of
FogHorn Lightning EdgeML for ML and Data Science Platforms.
Companies using FogHorn Lightning EdgeML are most concentrated in Manufacturing, with adoption spanning over 21 industries.
Companies using FogHorn Lightning EdgeML are most concentrated in United States, Japan and Taiwan, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of FogHorn Lightning EdgeML across Americas, EMEA, and APAC.
Companies using FogHorn Lightning EdgeML range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 33.33%.
Customers of FogHorn Lightning EdgeML include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified FogHorn Lightning EdgeML customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.