List of Coralogix Platform Customers
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Since 2010, our global team of researchers has been studying Coralogix 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 Coralogix Platform for AI Model Deployment and Monitoring 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 Coralogix Platform for AI Model Deployment and Monitoring include: Puma, a Germany based Retail organisation with 22214 employees and revenues of $10.49 billion, Tessian, a United Kingdom based Professional Services organisation with 300 employees and revenues of $45.0 million, Curve, a United Kingdom based Banking and Financial Services organisation with 300 employees and revenues of $29.0 million and many others.
Contact us if you need a completed and verified list of companies using Coralogix 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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Curve | Banking and Financial Services | 300 | $29M | United Kingdom | Coralogix | Coralogix Platform | AI Model Deployment and Monitoring | 2024 | n/a |
In 2024, Curve deployed the Coralogix Platform to scale observability and to support AI Model Deployment and Monitoring across its fintech stack. The initiative targeted engineering and SRE functions responsible for customer-facing services, aligning platform capabilities with analytics and model-validation workflows.
Implementation focused on centralized log ingestion, extended retention configuration, and a query layer capable of interrogating large datasets, positioned to surface model telemetry and inference traces for analytics teams. Coralogix Platform was configured to provide long-term storage and enhanced query access so engineers could investigate historical observability data linked to model behavior.
The deployment was integrated into Curve’s fintech stack and engineering workflows, extending dataset access and observability coverage to support model-centric monitoring and troubleshooting. Operational scope concentrated on engineering and analytics teams, enabling broader access to retained logs and queries needed for debugging and validation of analytics-driven services.
The Coralogix case study documents 40% cost savings while providing engineers with extended retention and query access across large datasets, reinforcing the platform’s role in AI Model Deployment and Monitoring. Rollout emphasis included provisioning extended retention and query privileges to engineering users to support ongoing model validation and operational analytics.
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Puma | Retail | 22214 | $10.5B | Germany | Coralogix | Coralogix Platform | AI Model Deployment and Monitoring | 2025 | n/a |
In 2025, PUMA implemented Coralogix Platform to unify ecommerce, CDN, and Salesforce Commerce Cloud logs for its Global ecommerce DevOps teams, centralizing telemetry from storefronts, content delivery, and commerce integration points. The deployment targeted observability for PUMA’s analytics-driven storefronts and aimed to provide a single source of truth for operational and diagnostic logging across global ecommerce operations, using the Coralogix Platform as the ingestion and analytics layer.
The Coralogix Platform configuration focused on centralized log pipelines, real-time analytics, anomaly detection and alerting, and cost control through the TCO Optimizer. Coralogix’s AI observability features were implemented to surface anomalous patterns and accelerate incident triage, and the TCO Optimizer was applied to manage indexing and retention costs across high-volume ecommerce logs. Coralogix Platform provided structured log parsing and searchable telemetry to support DevOps-led root cause analysis and store performance monitoring.
Integrations explicitly included ecommerce application logs, CDN telemetry, and Salesforce Commerce Cloud event streams, with the platform feeding unified observability into Global ecommerce DevOps workflows. Operational coverage emphasized DevOps and site reliability functions supporting storefront availability and performance, with Coralogix Platform acting as the centralized analytics and monitoring layer for those teams.
PUMA reported improved visibility, reduced time-to-resolution for incidents, and lower observability costs using the TCO Optimizer as part of the Coralogix deployment. Given Coralogix’s AI observability capabilities and PUMA’s analytics-driven storefront architecture, the Coralogix Platform may also support AI Model Deployment and Monitoring use cases, this possibility is inferred from the implementation and not directly stated in the source.
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Tessian | Professional Services | 300 | $45M | United Kingdom | Coralogix | Coralogix Platform | AI Model Deployment and Monitoring | 2023 | n/a |
In 2023, Tessian adopted the Coralogix Platform to centralize full stack observability across logs, metrics and traces for its ML driven email security product. The Coralogix Platform implementation focused on consolidating telemetry into a single control plane, and Tessian reported reducing operational overhead by approximately 50 percent and saving more than $250K per year.
The deployment emphasized core observability modules of the Coralogix Platform including centralized log aggregation, metrics collection, and distributed tracing, aligned with AI Model Deployment and Monitoring requirements. Because Tessian’s product relies on machine learning, Coralogix Platform is also used to monitor ML model deployment and behavior in production, providing model performance observability, telemetry collection for inference pipelines, and detection of anomalous model behavior consistent with AI model monitoring practices.
Operational ownership for the Coralogix Platform centers on engineering, SRE, and security teams, who use the platform to correlate application telemetry with model signals and to investigate production incidents affecting the ML driven email security service. The implementation serves as the primary observability layer supporting production ML models and associated data pipelines, enabling unified dashboards and cross signal troubleshooting.
Governance and workflow consolidation followed the Coralogix Platform rollout, with standardized alerting, incident triage patterns, and model monitoring workflows to ensure consistent operational responses to model and service degradations. The Coralogix Platform is positioned as Tessian’s central observability repository for AI Model Deployment and Monitoring and production telemetry management.
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