List of Superwise Platform Customers
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Since 2010, our global team of researchers has been studying Superwise 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 Superwise Platform for MLOps 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 Superwise Platform for MLOps Platforms include: Bridgestone, a Japan based Automotive organisation with 129262 employees and revenues of $27.82 billion, King, a Sweden based Professional Services organisation with 2000 employees and revenues of $1.50 billion, Klarna Sweden, a Sweden based Banking and Financial Services organisation with 2000 employees and revenues of $300.0 million and many others.
Contact us if you need a completed and verified list of companies using Superwise 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.
The Superwise Platform 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 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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Bridgestone | Automotive | 129262 | $27.8B | Japan | Superwise | Superwise Platform | MLOps Platforms | 2025 | n/a |
In 2025, Bridgestone deployed the Superwise Platform to manage warranty claims governance within its manufacturing operations. The implementation leverages the SUPERWISE Manufacturing Suite TRAC in a vendor-published live warranty TRAC use case, and is categorized under MLOps Platforms.
The Superwise Platform implementation focused on delivering end to end traceability, automated workflows for claims handling, and predictive analytics models applied to manufacturing telemetry and quality signals. Functional capabilities implemented include traceability and lineage for parts and batches, workflow orchestration for warranty case routing, and model-driven anomaly detection and prediction embedded in operational workflows.
Operational coverage is concentrated in Bridgestone manufacturing operations in Japan, with the solution applied to warranty claims governance and adjacent quality and operations functions. Governance and process changes centered on standardizing claim triage, enforcing traceability controls, and operationalizing predictive alerts, and the deployment is documented in the Superwise case study as a live production use case improving efficiency and compliance.
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King | Professional Services | 2000 | $1.5B | Sweden | Superwise | Superwise Platform | MLOps Platforms | 2024 | n/a |
In 2024, King deployed the Superwise Platform to instrument production machine learning used in gaming and personalization, leveraging MLOps Platforms capabilities to reduce alert noise and improve anomaly detection in Sweden. The Superwise Platform was positioned to provide continuous model monitoring and ML observability for models that drive personalization and in‑game experiences, aligning the vendor application with King operational goals around stability and faster incident investigation.
The implementation centered on model monitoring and ML observability modules, with configuration focused on anomaly detection tuning, signal filtering to suppress false positives, and telemetry collection for model performance and data drift. Superwise Platform was integrated into King production ML pipelines for real time scoring environments, enabling automated alerting and context rich traces to support downstream investigation workflows. These configurations reflect standard MLOps Platforms capabilities for metric collection, alert routing, and observability dashboards.
Operational ownership landed with King engineering and operations teams responsible for personalization and game services in Sweden, who adjusted incident triage and investigation processes to consume Superwise alerts. Governance changes included refining alert thresholds and escalation paths to reduce noise and accelerate root cause analysis, improving operational stability for production ML. The deployment is documented in analyst and vendor listings as a Superwise customer use case focused on reducing alert noise, improving anomaly detection, and enhancing incident investigation for production ML.
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Klarna Sweden | Banking and Financial Services | 2000 | $300M | Sweden | Superwise | Superwise Platform | MLOps Platforms | 2024 | n/a |
In 2024 Klarna Sweden deployed the Superwise Platform to operationalize AI governance and model observability for production decisioning models. Klarna Sweden uses the Superwise Platform, an MLOps Platforms solution, to support model oversight and compliance activities within its financial services operations in Sweden.
Implementation focuses on core observability and model risk management capabilities, inferred from vendor disclosures, including continuous model performance monitoring, drift detection, automated alerting, and centralized dashboards for model behavior. The Superwise Platform is configured to ingest production telemetry and surface issues tied to decisioning models, enabling teams to triage model degradations and maintain regulatory artifacts.
Operational coverage centers on production decisioning models serving Swedish financial services workflows, with integration patterns typical for MLOps Platforms such as telemetry collection from model inference endpoints, linkage to feature and data pipelines, and eventing for alerts and remediation workflows. The deployment targets risk, compliance, and model operations functions, providing a single pane for teams responsible for day to day model health and governance.
Governance controls were established within the Superwise Platform to provide audit trails, role based access, and documented model risk processes to support compliance needs. Klarna Sweden reports using Superwise for AI governance and model observability to improve model reliability and compliance, reflecting a structured shift toward centralized model monitoring and risk management.
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