Best Artificial Intelligence Software for Red Hat OpenShift
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Compare the Top Artificial Intelligence Software that integrates with Red Hat OpenShift as of September 2026
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This a list of Artificial Intelligence software that integrates with Red Hat OpenShift. Use the filters on the left to add additional filters for products that have integrations with Red Hat OpenShift. View the products that work with Red Hat OpenShift in the table below.
What is Artificial Intelligence Software for Red Hat OpenShift?
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics. Compare and read user reviews of the best Artificial Intelligence software for Red Hat OpenShift currently available using the table below. This list is updated regularly.
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1
New Relic
New Relic
There are an estimated 25 million engineers in the world across dozens of distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and simple, transparent usage-based pricing with only 2 key metrics. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications.Starting Price: Free -
2
NeuBird
NeuBird
NeuBird is the governed center of agentic operations: one secure, audited connection to your telemetry and your LLMs, with a memory of every investigation, so your engineers, your leaders, and your own agents all start from what the company already knows. -
3
Kong Konnect
Kong
Kong Konnect Enterprise Service Connectivity Platform brokers an organization’s information across all services. Built on top of Kong’s battle-tested core, Kong Konnect Enterprise enables customers to simplify management of APIs and microservices across hybrid-cloud and multi-cloud deployments. With Kong Konnect Enterprise, customers can proactively identify anomalies and threats, automate tasks, and improve visibility across their entire organization. Stop managing your applications and services, and start owning them with the Kong Konnect Enterprise Service Connectivity Platform. Kong Konnect Enterprise provides the industry’s lowest latency and highest scalability to ensure your services always perform at their best. Kong Konnect has a lightweight, open source core that allows you to optimize performance across all your services, no matter where they run. -
4
StormForge
StormForge
StormForge Optimize Live continuously rightsizes Kubernetes workloads to ensure cloud-native applications are both cost effective and performant while removing developer toil. As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the Kubernetes horizontal pod autoscaler (HPA) at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced machine learning to recommend optimal resource requests and limits. Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always right-sized, and freeing developers from the toil and cognitive load of infrastructure sizing. Organizations see immediate benefits from the reduction of wasted resources — leading to cost savings of 40-60% along with performance and reliability improvements across the entire estate.Starting Price: Free -
5
Sedai
Sedai
Sedai is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to maximize cloud cost savings, performance and availability at scale. Sedai enables teams to shift from static rules and threshold-based automation to modern ML-based autonomous operations. Using Sedai, organizations can reduce cloud cost by up to 50%, improve performance by up to 75%, reduce failed customer interactions (FCIs) by 75% and multiply SRE productivity by up to 6X for their modern applications. Sedai can perform work equivalent to a team of cloud engineers working behind the scenes to optimize resources and remediate issues, so organizations can focus on innovation.Starting Price: $10 per month -
6
Randoli
Randoli
Randoli is an OpenTelemetry-native observability and cost management platform for Kubernetes, multicloud, hybrid, and AI/ML workloads. It brings infrastructure health, application performance, logs, metrics, traces, incidents, and cloud costs into one control plane, helping teams replace fragmented tools with a correlated view of system behavior. Its federated architecture separates the control plane from the data plane, analyzes telemetry locally, extracts relevant signals, and retrieves data on demand during investigations, reducing ingestion and egress while supporting data sovereignty. Randoli monitors clusters, nodes, pods, workloads, services, dependencies, latency, errors, throughput, and resource usage across AWS, Azure, Google Cloud, OpenShift, and on-premises environments. OpenTelemetry and eBPF provide automatic, low-overhead instrumentation, filtering, enriched telemetry, and real-time signal correlation.Starting Price: $0.04 per hour -
7
Cloudgeni
Cloudgeni
Cloudgeni is an agentic AIOps platform for cloud infrastructure that investigates incidents, drift, compliance, and FinOps issues, then fixes them as validated Infrastructure-as-Code pull requests. It brings cloud state, IaC, and operational signals into one context layer so agents can understand dependencies, identify root causes, generate changes in the organization’s own conventions, validate them before production, and verify that problems are resolved after changes land. Its agents cover compliance remediation, configuration drift and resource import, DevOps work, pull request review, IaC pipelines, cost optimization, SRE workflows, AI infrastructure governance, and custom automation. Cloudgeni connects with AWS, Azure, GCP, OCI, Kubernetes, OpenShift, Terraform, OpenTofu, Terragrunt, Bicep, Pulumi, Helm, GitHub, GitLab, Azure DevOps, security tools, observability platforms, and internal knowledge systems.Starting Price: $79 per month -
8
Harness
Harness
Harness is an AI-native software delivery platform that helps engineering teams achieve excellence by automating and streamlining the entire software delivery lifecycle. It enables continuous integration, continuous delivery, and GitOps for multi-cloud, multi-region deployments with increased speed and reliability. Harness simplifies infrastructure as code, database DevOps, and artifact management to improve collaboration and reduce errors. The platform offers AI-powered testing, incident response, chaos engineering, and feature management to enhance quality and resilience. Harness also provides cloud cost management, security testing orchestration, and developer insights to optimize performance and governance. Trusted by leading enterprises, Harness accelerates innovation while reducing manual effort and risk. -
9
SAS Viya
SAS
SAS Viya is a cloud-native data and AI platform that unifies data management, analytics, AI modeling, and governance within a single environment. The platform helps organizations build, validate, deploy, and govern AI models with transparency, fairness, and auditability built into the entire lifecycle. SAS Viya provides seamless access to data across multiple sources and platforms while maintaining governance, lineage tracking, and compliance controls. Businesses can use the platform to accelerate AI model training, improve workflow productivity, and operationalize data-driven decisions at scale. SAS Viya also supports AI agents through the SAS Viya MCP Server, enabling secure integration of AI-powered tools and decision-making processes. The platform is designed to support cloud, hybrid, and on-premises deployments for greater flexibility across enterprise environments. -
10
JFrog
JFrog
Fully automated DevOps platform for distributing trusted software releases from code to production. Onboard DevOps projects with users, resources and permissions for faster deployment frequency. Fearlessly update with proactive identification of open source vulnerabilities and license compliance violations. Achieve zero downtime across your DevOps pipeline with High Availability and active/active clustering for your enterprise. Control your DevOps environment with out-of-the-box native and ecosystem integrations. Enterprise ready with choice of on-prem, cloud, multi-cloud or hybrid deployments that scale as you grow. Ensure speed, reliability and security of IoT software updates and device management at scale. Create new DevOps projects in minutes and easily onboard team members, resources and storage quotas to get coding faster.Starting Price: $98 per month -
11
Distributed AI is a computing paradigm that bypasses the need to move vast amounts of data and provides the ability to analyze data at the source. Distributed AI APIs built by IBM Research is a set of RESTful web services with data and AI algorithms to support AI applications across hybrid cloud, distributed, and edge computing environments. Each Distributed AI API addresses the challenges in enabling AI in distributed and edge environments with APIs. The Distributed AI APIs do not focus on the basic requirements of creating and deploying AI pipelines, for example, model training and model serving. You would use your favorite open-source packages such as TensorFlow or PyTorch. Then, you can containerize your application, including the AI pipeline, and deploy these containers at the distributed locations. In many cases, it’s useful to use a container orchestrator such as Kubernetes or OpenShift operators to automate the deployment process.
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12
NetWatch.ai
NetWatch.ai
NetWatch.ai offers a comprehensive, AI-driven monitoring and security platform designed to replace fragmented tools with an integrated solution for modern IT environments. The platform is structured around three core product lines, NetWatch OPS, a server and network monitoring solution providing real-time insights, proactive alerts and streamlined resource management; Secure OPS, a hybrid SIEM built for unified security monitoring and compliance across cloud and on-premises infrastructures; and AI OPS, which uses machine learning to predict issues, automate remediation workflows and elevate operational performance. A patented “AI System Administrator” acts as a virtual operator that monitors customer infrastructure, connects via API to existing workflows, and offers complete visibility and automation. For organizations seeking turnkey expertise, NetWatch.ai also delivers Hive OPS SOC, a tiered Security Operations Center as a service with 24/7 monitoring, incident response, and more. -
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Jozu
Jozu
Jozu is an AI supply chain security platform that verifies artifacts before execution, governs agent activity at runtime, and preserves proof of what happened afterward. Jozu Hub provides a self-hosted registry for models, agents, MCP servers, and skills, centralizing each artifact with cryptographic signatures, attestations, scanning, policy controls, and audit records. Its AI-specific security analysis covers threats such as executable code hidden in model packages, backdoored weights, data poisoning, prompt injection, compromised tools, and license violations. Policies can be authored once, distributed as signed OCI artifacts, and enforced when artifacts are pulled, promoted, admitted, or executed. Jozu Agent Guard runs alongside workloads on servers, desktops, edge devices, and air-gapped systems, applying local prompt and input-output filtering, tool-access controls, approval requirements, and runtime policy enforcement. -
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Discover how to start your AIOps journey and transform your IT operations with IBM Cloud Pak for Watson AIOps. IBM Cloud Pak® for Watson AIOps is an AIOps platform that deploys advanced, explainable AI across the ITOps toolchain so you can confidently assess, diagnose and resolve incidents across mission-critical workloads. If you’re looking for IBM Netcool® Operations Insight or any previous IBM IT management offerings, IBM Cloud Pak for Watson AIOps is the evolution of your current entitlement. Correlate across all relevant data sources. Detect hidden anomalies, anticipate issues and resolve faster. Proactively avoid risks and automate runbooks for more efficient workflows. Correlate a vast amount of unstructured and structured data in real-time with AIOps tools. Keep teams focused, surfacing insights and recommendations into existing workflows. Build policy at the microservice level and automate across application components.
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15
Selenic
Parasoft
Selenium tests are often unstable and difficult to maintain. Parasoft Selenic fixes common Selenium problems within your existing projects with no vendor lock. When your team is using Selenium to develop and test the UI for your software applications, you need confidence that your testing process is identifying real issues, creating meaningful and appropriate tests, and reducing test maintenance. While Selenium offers many benefits, you want to get more out of your UI testing while leveraging your current practice. Find the real UI issues and get quick feedback on test execution so you can deliver better software faster with Parasoft Selenic. Improve your existing library of Selenium web UI tests, or quickly create new ones, with a flexible Selenium companion that integrates seamlessly with your environment. Parasoft Selenic fixes common Selenium problems with AI-powered self-healing to minimize runtime failures, test impact analysis to dramatically reduce test execution time, etc. -
16
ModelOp
ModelOp
ModelOp is the leading AI governance software that helps enterprises safeguard all AI initiatives, including generative AI, Large Language Models (LLMs), in-house, third-party vendors, embedded systems, etc., without stifling innovation. Corporate boards and C‑suites are demanding the rapid adoption of generative AI but face financial, regulatory, security, privacy, ethical, and brand risks. Global, federal, state, and local-level governments are moving quickly to implement AI regulations and oversight, forcing enterprises to urgently prepare for and comply with rules designed to prevent AI from going wrong. Connect with AI Governance experts to stay informed about market trends, regulations, news, research, opinions, and insights to help you balance the risks and rewards of enterprise AI. ModelOp Center keeps organizations safe and gives peace of mind to all stakeholders. Streamline reporting, monitoring, and compliance adherence across the enterprise. -
17
StackState
StackState
StackState's Topology and Relationship-Based Observability platform lets you manage your dynamic IT environment more effectively by unifying performance data from your existing monitoring tools into a single topology. Enabling you to: 1. 80% Decreased MTTR: by identifying the root cause and alerting the right teams with the correct information. 2. 65% Fewer Outages: through real-time unified observability and more planful planning. 3. 3x Faster Releases: by giving time back to developers to increase implementations. Get started today with our free guided demo: https://www.stackstate.com/schedule-a-demo
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