List of cnvrg Platform Customers
Tel Aviv, 6329302,
Israel
Since 2010, our global team of researchers has been studying cnvrg 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 cnvrg 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 cnvrg Platform for MLOps Platforms include: Seagate Technology, a Singapore based Manufacturing organisation with 30000 employees and revenues of $6.55 billion, Playtika Ltd, a Israel based Professional Services organisation with 4000 employees and revenues of $2.58 billion, Monday.com, a Israel based Professional Services organisation with 2508 employees and revenues of $972.0 million and many others.
Contact us if you need a completed and verified list of companies using cnvrg 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 cnvrg 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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Monday.com | Professional Services | 2508 | $972M | Israel | cnvrg | cnvrg Platform | MLOps Platforms | 2020 | n/a |
In 2020, Monday.com implemented the cnvrg Platform, adopting a MLOps Platforms approach to enable self-service MLOps for its data-science teams. The deployment targeted model development for NLP, time-series, and classification workloads used to optimize product features and customer experiences across monday.com global operations.
The implementation centered on cnvrg Platform capabilities for MLOps pipelines and model monitoring, with teams using pipeline templating and orchestration to standardize experiment-to-production workflows. Analysts and engineers leveraged platform-native experiment tracking and model registry functionality as part of the MLOps Platforms feature set to manage model artifacts, training runs, and versioning.
Operationally the cnvrg Platform was provisioned as a centralized self-service environment for data science and product engineering, supporting repeatable training and inference workflows across regions and product teams. The architecture emphasized workload orchestration and scalable training infrastructure to accelerate iteration of models used by product and customer experience functions.
Governance and process changes accompanied the roll out, shifting ownership toward embedded data-science teams and formalizing lifecycle workflows for model promotion and monitoring. The case material describes faster delivery of models and improved engineering processes as direct benefits of using the cnvrg Platform within monday.com global operations.
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Playtika Ltd | Professional Services | 4000 | $2.6B | Israel | cnvrg | cnvrg Platform | MLOps Platforms | 2019 | n/a |
In 2019, Playtika Ltd deployed the cnvrg Platform to operationalize real-time machine learning for personalized gameplay and monetization. The work is cataloged under MLOps Platforms and targeted production prediction serving to support live user interactions.
Implementation centered on the cnvrg Platform's streaming endpoints and inference serving capabilities, with configuration for model packaging, automated deployment pipelines, and low-latency prediction endpoints. The implementation emphasized continuous delivery of trained models into serving topologies and instrumentation for real-time scoring workflows.
The production architecture integrated Kafka-based streaming for input ingestion into model endpoints, enabling sustained real-time predictions that feed personalization and monetization functions. Operational coverage included production deployments in Israel and direct connection to Playtika's live gameplay and monetization systems for in-session decisioning.
Reported outcomes from the Playtika deployment included increased throughput of up to approximately 50 percent and reductions in latency and inference errors to near zero. Governance and rollout practices focused on production monitoring, serving endpoint reliability, and automated promotion of validated models into the live inference environment.
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Seagate Technology | Manufacturing | 30000 | $6.6B | Singapore | cnvrg | cnvrg Platform | MLOps Platforms | 2021 | n/a |
In 2021 Seagate Technology adopted the cnvrg Platform as an MLOps Platforms solution to operationalize smart manufacturing computer vision models. The decision followed a successful proof of concept and targeted defect detection use cases intended to scale model deployment and inference across Seagate manufacturing facilities.
The deployment used a hybrid architecture combining on premise GPU infrastructure and cloud resources, enabling training and inference workloads to be scheduled across environments. Implementation centered on MLOps automation capabilities in cnvrg Platform, including experiment tracking, training orchestration, model versioning, and automated pipeline execution to accelerate development velocity. The platform was configured to improve GPU utilization through centralized workload orchestration and pipeline scheduling.
Operational scope extended from the initial United States project to broader facility rollouts, covering manufacturing engineering and quality operations functions responsible for defect detection and quality assurance. Rollout followed a proof of concept to production path, establishing standardized MLOps workflows and model promotion policies to replicate deployments across sites. Governance emphasized consistent pipeline templates and automation to reduce manual handoffs between data science and operations teams.
Seagate reported improved model development velocity and better GPU utilization, with the referenced United States project documenting up to approximately 50% acceleration in ML pipelines. The cnvrg Platform implementation connected Seagate Technology, the cnvrg Platform, MLOps Platforms capabilities, and smart manufacturing quality control functions to scale computer vision defect detection.
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