List of Fiddler AI Customers
Palo Alto, 94306, CA,
United States
Since 2010, our global team of researchers has been studying Fiddler AI 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 Fiddler AI 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 Fiddler AI for AI Model Deployment and Monitoring include: Integral Ad Science, a United States based Banking and Financial Services organisation with 835 employees and revenues of $408.0 million, US Navy, a United States based Aerospace and Defense organisation with 387637 employees and revenues of $321.0 million, Tide, a United Kingdom based Professional Services organisation with 1000 employees and revenues of $120.0 million and many others.
Contact us if you need a completed and verified list of companies using Fiddler AI, 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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Integral Ad Science | Banking and Financial Services | 835 | $408M | United States | fiddler | Fiddler AI | AI Model Deployment and Monitoring | 2024 | n/a |
In 2024, Integral Ad Science deployed Fiddler AI Observability in the United States to monitor machine learning models that power media measurement and optimization. The implementation used Fiddler AI as an AI Model Deployment and Monitoring solution to provide continuous model telemetry, audit-ready trails, and transparent performance reporting for compliance and measurement functions.
The deployment configured unified dashboards and event-driven alerting to centralize model health, explanation metadata, and performance baselines. Fiddler AI Observability was implemented with capabilities typical of the category, including model performance monitoring, automated anomaly detection, explainability feeds for investigative workflows, and incident logging to accelerate root-cause analysis.
Operational coverage targeted the teams responsible for media measurement and optimization, with monitoring integrated into model operational workflows to surface incidents and investigation context. The scope was national within the United States and focused on production ML deployments that influence measurement outputs and downstream optimization decisions.
Governance was strengthened by embedding audit evidence and transparent model telemetry into routine review and compliance processes, supporting incident response and evidence provision. The implementation delivered unified dashboards, reduced monitoring operation costs, and faster root-cause analysis and MTTI and MTTR for model incidents, improving transparency and providing audit evidence for compliance.
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Tide | Professional Services | 1000 | $120M | United Kingdom | fiddler | Fiddler AI | AI Model Deployment and Monitoring | 2023 | n/a |
In 2023, Tide implemented Fiddler AI to standardize ML monitoring across its data science teams. Tide implemented Fiddler AI under the AI Model Deployment and Monitoring category to instrument high impact production models supporting fraud detection and risk and loan decisioning, aligning the application with core data science and risk management functions.
The deployment focused on centralized model monitoring, automated drift detection, performance and fairness metrics, and alerting tied to model performance degradation. Configuration emphasized model level instrumentation, dataset versioning, and dashboarding to give teams visibility into model metrics, enabling root cause triage workflows and anomaly investigations.
Operational scope encompassed Tide's data science organization and production model owners, standardizing governance and incident workflows so triage and remediation responsibilities were clear. The implementation saved about one day of troubleshooting per incident, improved team alignment, and enabled the data science organization to prioritize higher value ML projects.
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US Navy | Aerospace and Defense | 387637 | $321M | United States | fiddler | Fiddler AI | AI Model Deployment and Monitoring | 2022 | n/a |
In 2022 the U.S. Navy's NAVSEA PMS 408 worked with the Defense Innovation Unit and Fiddler on Project AMMO to build an MLOps pipeline for Automatic Target Recognition on unmanned underwater vehicles. The implementation used Fiddler AI as the core platform within an AI Model Deployment and Monitoring program to improve image explainability and operational monitoring for explosive ordnance disposal workflows.
The deployed MLOps pipeline included model monitoring, explainability instrumentation, automated retraining triggers and deployment orchestration, with model versioning and validation gates. Fiddler AI's explainability and monitoring capabilities were configured to surface per-image attributions and production drift alerts, enabling operational teams to review model behavior and maintain model integrity in maritime environments.
Project AMMO integrated the MLOps pipeline with unmanned underwater vehicle image feeds and the Automatic Target Recognition inference stack used in EOD scenarios. The prototype was transitioned to production with the Naval Information Warfare Center Pacific which assumed operational ownership for retraining and redeployment workflows.
Governance was organized across NAVSEA PMS 408, the Defense Innovation Unit, and Naval Information Warfare Center Pacific to formalize model update procedures and approval gates for mission-critical deployments. Operational workflow changes emphasized faster model refresh cycles and documented validation steps for live maritime explosive ordnance disposal operations.
The collaboration reported a 97% reduction in model update time and the transition to production enabled faster retraining and deployment for mission-critical EOD workflows. The deployment also improved image explainability and continuous operational monitoring in production environments.
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Buyer Intent: Companies Evaluating Fiddler AI
- Access Venture Partners, a United States based Banking and Financial Services organization with 10 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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