List of New Relic AI Customers
San Francisco, 94105, CA,
United States
Since 2010, our global team of researchers has been studying New Relic 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 New Relic AI for Generative AI 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 New Relic AI for Generative AI Platforms include: Morningstar, a United States based Banking and Financial Services organisation with 11115 employees and revenues of $2.28 billion, Signify Health, a United States based Healthcare organisation with 3500 employees and revenues of $850.0 million, Global Processing Argentina, a Argentina based Banking and Financial Services organisation with 220 employees and revenues of $15.0 million and many others.
Contact us if you need a completed and verified list of companies using New Relic 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.
The New Relic AI 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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Global Processing Argentina | Banking and Financial Services | 220 | $15M | Argentina | New Relic | New Relic AI | Generative AI Platforms | 2024 | n/a |
In 2024 Global Processing Argentina deployed New Relic AI as part of a standardized observability practice, embedding the New Relic AI application within its Generative AI Platforms strategy for payments telemetry. The implementation explicitly targets payments and finance operations across South America and centralizes monitoring and onboarding workflows under New Relic AI.
The deployment focused on telemetry ingestion and correlation, using New Relic AI to simplify onboarding of services and to correlate traces, logs, and metrics across the payments platform. Configuration work centered on automated anomaly detection and alert correlation rules, and on instrumenting transaction traces and service-level metrics to support faster fault isolation.
Operational coverage included payments processing pipelines and finance operations teams, with New Relic AI acting as the primary observability layer for transaction telemetry across regional sites. Integrations were executed against the payments platform telemetry streams and monitoring agents to consolidate event streams and contextualize alerts with transaction context.
Governance moved toward a centralized observability practice with standardized alerting and incident triage workflows, enabling finance and operations teams to leverage correlated insights during onboarding and incident response. The rollout reported a 50% reduction in alert noise and a 30% improvement in mean time to resolution, outcomes tied directly to New Relic AI driven correlation and simplified onboarding workflows.
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Morningstar | Banking and Financial Services | 11115 | $2.3B | United States | New Relic | New Relic AI | Generative AI Platforms | 2020 | n/a |
In 2020, Morningstar implemented New Relic AI, a solution categorized under Generative AI Platforms, to augment its technology operations within the United States. The initial deployment focused on improving incident prioritization and reducing alert noise for the firm’s financial services technology and operations teams, reflecting direct operational goals cited by Morningstar’s Global Head of Technology Operations.
The New Relic AI implementation leveraged the platform’s AI-driven capabilities for alert correlation, automated triage, and prioritization to surface business-impacting issues more effectively. Configuration emphasized signal enrichment and noise suppression, aligning observability outputs with operational severity and escalation policies.
Integrations connected New Relic AI to Morningstar’s existing telemetry and monitoring data streams to centralize incident context and support faster decision making by Technology Operations. Operational coverage concentrated on incident detection and response workflows across U.S. financial services technology operations, with the application used by on-call and incident management teams.
Governance adjustments accompanied the rollout, with usage informing refinements to incident prioritization workflows and alert governance as part of routine operational process changes. According to the Global Head of Technology Operations, New Relic AI helped reduce alert noise and improve prioritization of business-impacting issues, and the deployment was aimed at optimizing operational costs.
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Signify Health | Healthcare | 3500 | $850M | United States | New Relic | New Relic AI | Generative AI Platforms | 2020 | n/a |
In 2020, Signify Health deployed New Relic AI as part of its monitoring and engineering tooling to strengthen healthcare technology and operations in the United States. Signify Health used New Relic AI, a Generative AI Platforms solution, to introduce proactive detection and increased operational visibility across its engineering environment.
The implementation emphasized New Relic AI proactive detection capabilities, configuring AI-driven anomaly detection, automated alerting, and observability workflows to detect incidents earlier in service telemetry. Configuration work focused on ingesting metrics, traces, and logs into the New Relic AI system and tuning detection thresholds and correlation rules to surface actionable incidents to engineering teams.
Operational scope covered Signify Health engineering and technology operations in the United States, aligning monitoring and incident workflows with development and production stacks. The deployment connected AI detection outputs into existing incident management and on-call processes, enabling engineering teams to triage alerts and accelerate incident response through improved signal quality and context.
Governance concentrated on operational visibility and proactive incident management rather than wide process redesign, with rollout efforts targeted at stabilizing incident detection and handoff between monitoring and engineering. Signify Health reported that New Relic AI's proactive detection delivered faster incident detection, reduced incidents in the engineering environment, and improved operational agility.
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