Last reviewed: May 2026
Observabilite AI for applications and infrastructure.
New Relic AI is an AI-powered DevOps platform that automates infrastructure management, deployment, and monitoring. It is designed for devops engineers, sres, solution teams across the technology and software sector. Founded in 2016, the company is recognized for its real-time monitoring and anomaly detection.
New Relic AI is best suited for devops engineers, sres, platform teams. From $0 / Pay-as-you-go pricing for technology & saas teams.
Official website: New Relic AI
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The platform is designed to address the specific challenges faced by Technology & SaaS organizations. Key users include DevOps engineers, SREs, Platform teams who rely on the platform for apm ai, error analytics, performance monitoring. In the rapidly evolving Technology & SaaS landscape, New Relic AI stands out by combining devops & observability capabilities with industry-specific features that address the unique challenges of apm ai, error analytics, performance monitoring. The platform enables DevOps engineers and SREs to transition from manual, error-prone processes to automated, data-driven workflows that deliver consistent results at scale. Compared to alternatives in the devops & observability space, New Relic AI differentiates itself through its focus on Technology & SaaS use cases, and From $0 / Pay-as-you-go that accommodates organizations at different stages of their AI adoption journey.
Before adopting New Relic AI or any DevOps & Observability solution for your technology & saas workflows, it is important to assess how the platform fits your specific requirements. Start by mapping your highest-priority pain points — whether that is reducing manual tasks, improving data accuracy, scaling customer interactions, or accelerating time to insight. New Relic AI positions itself as a DevOps & Observability solution, having been in the market since 2016, so evaluate whether its feature set directly addresses those pain points rather than relying on feature-list comparisons alone.
Request a live demo or proof-of-concept trial before committing to an annual contract. During the trial, measure concrete outcomes: task completion time, error rates, user adoption speed, and integration friction with your existing stack. Compare these metrics against at least two alternative vendors in the DevOps & Observability space to establish a meaningful benchmark. New Relic AI uses a From $0 / Pay-as-you-go pricing model — make sure you understand the total cost of ownership including implementation, training, and any per-seat or usage-based fees.
Confirm deployment options meet your IT and compliance requirements. Verify what compliance certifications and data-handling guarantees the vendor provides, especially for regulated technology & saas environments. Also ask about the vendor's SLA for uptime, support response times, and the data export process should you decide to switch providers in the future.
New Relic AI is a DevOps & Observability platform designed for technology & saas organizations. Observabilite AI for applications and infrastructure.
New Relic AI scores 8.9/10 on AI Scanner's independent evaluation. The score reflects performance (30%), usability (25%), pricing value (25%), and versatility (20%). Scores are updated monthly based on product changes, user feedback, and competitive benchmarking across DevOps & Observability tools. Read our full scoring methodology.
The top alternative to New Relic AI on AI Scanner is Sentry AI with a score of 9.3/10. Other alternatives include Harness AI, Dynatrace, Checkmarx. Compare all alternatives.
New Relic AI is designed for enterprise organizations. Its From $0 / Pay-as-you-go pricing model scales with team size and usage requirements. We recommend running a pilot with your actual workflows before committing to a full deployment.
New Relic AI uses a From $0 / Pay-as-you-go pricing model. For the most accurate pricing, request a custom quote directly from the vendor. Pricing may vary based on deployment scale, feature tier, and contract length. Always factor in implementation and training costs when comparing total cost of ownership against competitors.
How We Score: AI Scanner evaluates platforms across four dimensions - Performance (30%), Usability (25%), Pricing Value (25%), and Versatility (20%). Scores are updated monthly. Read our full methodology.