List of Senseye PdM Customers
Senseye
Epsilon House, Enterprise Road Southampton Science Park,
Southampton, SO16 7NS,
United Kingdom
Southampton, SO16 7NS,
United Kingdom
44 84 5838-8615
Professional Services
35
$4M
Since 2010, our global team of researchers has been studying Senseye PdM 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 Senseye PdM for Computerized Maintenance Management (CMMS) 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 Senseye PdM for Computerized Maintenance Management (CMMS) include: Nissan, a Japan based Automotive organisation with 132790 employees and revenues of $82.63 billion, Tata Motors, a India based Manufacturing organisation with 91496 employees and revenues of $49.62 billion, Schneider Electric, a France based Manufacturing organisation with 162970 employees and revenues of $46.05 billion, Alcoa, a United States based Oil, Gas and Chemicals organisation with 13900 employees and revenues of $11.90 billion, Bluescope, a Australia based Manufacturing organisation with 16500 employees and revenues of $11.19 billion and many others.
Contact us if you need a completed and verified list of companies using Senseye PdM, 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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Alcoa | Oil, Gas and Chemicals | 13900 | $11.9B | United States | Senseye | Senseye PdM | Computerized Maintenance Management (CMMS) | 2018 | n/a |
In 2018 Alcoa implemented Senseye PdM under its Reliability Excellence Model REX to accelerate a shift from Planned Maintenance to Predictive Maintenance, using Senseye PdM as the chosen solution in the Computerized Maintenance Management (CMMS) category. The selection followed a competitive tender with 11 market proposals, and Alcoa targeted a structured global deployment beginning with the Fjarðaál aluminum smelter in East Iceland as the initial production site.
The Senseye PdM deployment emphasized condition monitoring and predictive analytics that leveraged existing machine and maintenance data feeds without the need to install thousands of new sensors. Configuration prioritized rapid on‑boarding for machine operators and maintainers, focusing on streamlined data ingestion, automated anomaly detection, and operator facing alerting workflows to minimize setup time and training overhead for frontline users.
Integration scope centered on connecting Senseye PdM to plant machine telemetry and maintenance records, enabling asset health visibility at the smelter and providing a foundation for broader rollouts across Alcoa business streams. The deployment model was site based as part of a corporate REX IT program, with Fjarðaál serving as a reference implementation to inform subsequent deployments in Bauxite Mining and Refining and additional Smelting sites.
Governance and rollout were driven by the corporate Reliability Excellence initiative, embedding Senseye PdM into existing maintenance processes and operator workflows. Alcoa reported prompt execution of results and ROI and noted strong user satisfaction with the ease of use of Senseye PdM, and the company is pursuing further deployments where business cases are defined.
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Bluescope | Manufacturing | 16500 | $11.2B | Australia | Senseye | Senseye PdM | Computerized Maintenance Management (CMMS) | 2020 | n/a |
In 2020, Bluescope implemented Senseye PdM as part of a company-wide Asset Intelligence Project. The deployment targeted Computerized Maintenance Management (CMMS) use cases to support maintenance, reliability engineering, and field operations across operational sites.
The technical implementation centralized Senseye PdM configuration for predictive analytics and control parameter tuning, including asset modeling and anomaly detection workflows typical of Computerized Maintenance Management (CMMS) deployments. The team configured Senseye PdM control parameters and integrated telemetry feeds into an OSI PI Asset Framework, authoring Event Frames and Asset Attributes to capture condition-based triggers and contextual metadata for assets.
Integrations were explicit and system-to-system, Senseye PdM was integrated with Obzervr for connected field worker work order management and with Intellipermit for safe system of work coordination. LoRaWAN sensors were installed and commissioned to provide edge telemetry into the predictive platform, Citect SCADA trends and tags were monitored for operational signals, and API conformance and integrations were validated using Postman.
Project governance emphasized technical delivery and quality assurance, with the Digital Project Engineer assisting the project manager in planning and implementing the technical solution. Responsibilities included system configuration, QA testing, defect identification and escalation, participation in technical discussions, and creating formal technical documentation to track methods, procedures and milestone completion.
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Insee Cement | Manufacturing | 4678 | $1.3B | Thailand | Senseye | Senseye PdM | Computerized Maintenance Management (CMMS) | 2019 | n/a |
In 2019, Insee Cement implemented Senseye PdM as its Computerized Maintenance Management (CMMS) solution at the Saraburi cement complex. The deployment supported Siam City Cement Company SCCC's showcase Digital Factory for the ASEAN region and leveraged existing smart factory equipment and sensors already installed across the plant.
Senseye PdM was configured to deliver automated detection, diagnostic and prognostic capabilities across plant assets, creating a predictive maintenance workflow consistent with Computerized Maintenance Management (CMMS) functional patterns. The implementation included prognostics-driven automated work-order creation and an automated learning loop that updated models based on closed work-orders, reducing end-user training requirements and improving maintenance accuracy.
Integration work focused on SAP PM, Senseye integrated with SCCC's SAP PM system to enable a closed-loop learning system where prognostic alerts generate SAP PM work-orders and closed work-orders feed back into Senseye for model refinement. Operational coverage began at the Saraburi production complex across all factory assets and the program is documented as being expanded in progress to 10+ sites within the companys regional footprint.
Governance and rollout emphasized collaborative supplier engagement and minimal operator disruption, with the project accepted by the customer ahead of schedule. Outcomes explicitly stated include automated work-order creation based on prognostic insights, automated learning based on closed work-orders from SAP PM, formal recognition as the Government of Thailand showcase Digital Factory project, and ongoing site expansion.
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Manufacturing Technology Centre (MTC) | Professional Services | 2500 | $495M | United Kingdom | Senseye | Senseye PdM | Computerized Maintenance Management (CMMS) | 2019 | n/a |
In 2019, the Manufacturing Technology Centre implemented Senseye PdM as a predictive maintenance demonstrator that showcased end-to-end Industry 4.0 maintenance workflows and integrated with existing partner technologies, highlighting Computerized Maintenance Management (CMMS) interoperability. The deployment positioned Senseye PdM to provide automated predictive capability within a practical demonstrator unit used to illustrate remote planning and closed loop maintenance processes.
Senseye PdM ingested sensor data via AVEVA, a cloud historian, and applied automatic analysis underpinned by unsupervised machine learning algorithms to generate alerts and diagnostics. The implementation surfaced condition monitoring, anomaly detection, automated alerting, and diagnostic inference that delivered actionable fault recommendations to maintenance teams and to the connected CMMS.
The solution integrated directly with Ultimo’s market leading Computerized Maintenance Management System, where all planned and reactive maintenance tasks were generated, scheduled, and assigned to the engineering workforce. Operational coverage targeted FIAB assets and FIAB’s remote maintenance engineers, enabling remote diagnosis and allowing on-site engineers to prepare spares, tooling and testing prior to visits.
Governance was organized around a closed loop feedback flow, engineers recording maintenance outcomes in Ultimo which then fed back to Senseye PdM to refine unsupervised learning models. The documented outcomes include a working practical demonstrator unit illustrating full end-to-end Industry 4.0 deployment, a closed loop system that enables remote planning of maintenance, reuse of existing data and infrastructure investments, and the use of unsupervised learning to predict future maintenance requirements.
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Nissan | Automotive | 132790 | $82.6B | Japan | Senseye | Senseye PdM | Computerized Maintenance Management (CMMS) | 2018 | n/a |
In 2018 Nissan implemented Senseye PdM in the Computerized Maintenance Management (CMMS) category to scale predictive maintenance across its global manufacturing footprint. The program targeted a reduction of production downtime by up to 50 percent across thousands of diverse machines, addressing an abundance of sensor data and limited skilled analysis resources. Nissan operates manufacturing sites in 20 countries and expanded the deployment into plants producing models such as the Qashqai, X-Trail, Leaf, and Rogue.
Over more than five years Nissan deployed Senseye PdM to remotely monitor machine health across its plants, leveraging Senseye’s patented artificial intelligence and proprietary machine learning algorithms to deliver failure forecasts. The implementation emphasized per machine type model development, remote condition monitoring, automated alerts and operational dashboards, and a structured process to on-board new equipment. Nissan adopted Senseye PdM Omniverse to upskill users, enabling engineers to independently provision models and scale predictive capability across sites. The environment currently monitors more than 10,000 machines across over 100 machine types, including robots, conveyers, drop lifters, pumps, motor fans, and press and stamping machines.
Integrations were extended to operate alongside Nissan’s enterprise software landscape, with engineers able to integrate Senseye PdM outputs with other systems independent of Senseye, supporting maintenance planning and work order orchestration. Operational coverage centers on maintenance, reliability engineering and operations teams, with over 500 concurrent users accessing the platform to manage maintenance activities and execute condition driven repairs. Governance shifted toward autonomous adoption, with centralized upskilling through the Omniverse and in house processes to on-board equipment and scale models.
Reported outcomes tied to the implementation include tens of millions in saved downtime and a rapid return on investment of less than 3 months, with advance warnings of up to 6 months for impending failures. The deployment reduced preventative maintenance and secondary activities while delivering year on year OEE improvements as teams moved from reactive to predictive maintenance workflows. Nissan’s use of Senseye PdM illustrates application of a Computerized Maintenance Management (CMMS) solution through machine level modeling, remote monitoring, integrations and internal governance to embed predictive maintenance practices.
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Distribution | 7654 | $3.1B | United Kingdom | Senseye | Senseye PdM | Computerized Maintenance Management (CMMS) | 2020 | n/a |
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Manufacturing | 162970 | $46.1B | France | Senseye | Senseye PdM | Computerized Maintenance Management (CMMS) | 2018 | n/a |
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Manufacturing | 700 | $111M | France | Senseye | Senseye PdM | Computerized Maintenance Management (CMMS) | 2020 | n/a |
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Manufacturing | 91496 | $49.6B | India | Senseye | Senseye PdM | Computerized Maintenance Management (CMMS) | 2019 | n/a |
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Buyer Intent: Companies Evaluating Senseye PdM
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Senseye PdM. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Senseye PdM for Computerized Maintenance Management (CMMS) include:
- Zaynab Merchant, a Pakistan based Retail organization with 10 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Senseye PdM Coverage
Senseye PdM is a Computerized Maintenance Management (CMMS) solution from Senseye.
Companies worldwide use Senseye PdM, from small firms to large enterprises across 21+ industries.
Organizations such as Nissan, Tata Motors, Schneider Electric, Alcoa and Bluescope are recorded users of
Senseye PdM for Computerized Maintenance Management (CMMS).
Companies using Senseye PdM are most concentrated in Automotive, Manufacturing and Oil, Gas and Chemicals, with adoption spanning over 21 industries.
Companies using Senseye PdM are most concentrated in Japan, India and France, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Senseye PdM across Americas, EMEA, and APAC.
Companies using Senseye PdM range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 11.11%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 55.56%.
Customers of Senseye PdM 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 Senseye PdM customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Computerized Maintenance Management (CMMS).