The Best Ai Observability Tools In 2025 Coralogix Com

Bonisiwe Shabane

-Jan 24, 2026, 1:20 PM

the best ai observability tools in 2025 coralogix com

<img decoding="async" src="/wp-content/uploads/2025/06/Group-2147255857.svg" alt="" /> The new standard of observability is here. Discover Olly, the industry’s first Autonomous Observability Agent. → KubeCon + CloudNativeCon North America 2025 In 2025, AI isn’t just an add-on—it’s the engine powering everything from personalized customer experiences to mission-critical enterprise operations. Modern systems generate 5–10 terabytes of telemetry data daily as they juggle intricate cloud-native architectures, microservices, and cutting-edge generative AI workloads.

This sheer volume and complexity have pushed traditional monitoring to its limits, leaving a critical gap in proactive management. Imagine having a panoramic view over your entire AI ecosystem—a real-time, unified dashboard that not only aggregates logs, metrics, and traces but also detects subtle anomalies before they evolve into costly disruptions. Unite.AI is committed to rigorous editorial standards. We may receive compensation when you click on links to products we review. Please view our affiliate disclosure. The artificial intelligence observability market is experiencing explosive growth, projected to reach $10.7 billion by 2033 with a compound annual growth rate of 22.5%.

As AI adoption accelerates—with 78% of organizations now using AI in at least one business function, up from 55% just two years ago—effective monitoring has become mission-critical for ensuring reliability, transparency, and compliance. Organizations deploying AI at scale face unique challenges including data drift, concept drift, and emergent behaviors that traditional monitoring tools weren’t designed to handle. Modern AI observability platforms combine the ability to track model performance with specialized features like bias detection, explainability metrics, and continuous validation against ground truth data. This comprehensive guide explores the most powerful AI observability platforms available today, providing detailed information on capabilities, pricing, pros and cons, and recent developments to help you make an informed decision for your organization’s... Founded in 2020, Arize AI has secured $131 million in funding, including a recent $70 million Series C round in February 2025. The company serves high-profile clients like Uber, DoorDash, and the U.S.

Navy. Their platform provides end-to-end AI visibility with OpenTelemetry instrumentation, offering continuous evaluation capabilities with LLM-as-a-Judge functionality. AI systems aren’t experimental anymore, they’re embedded in everyday decisions that affect millions. Yet as these models stretch into important spaces like real-time supply chain routing, medical diagnostics, and financial markets, something as simple as a stealthy data shift or an undetected anomaly can flip confident automation... This isn’t just a problem for data scientists or machine learning engineers. Today, product managers, compliance officers, and business leaders are realising that AI’s value doesn’t just hinge on building a high-performing model, but on deeply understanding how, why, and when these models behave the way...

Enter AI observability, a discipline that’s no longer an optional add-on, but a daily reality for teams committed to reliable, defensible, and scalable AI-driven products. Logz.io stands out in the AI observability landscape by providing an open, cloud-native platform tailored for the complexities of modern ML and AI systems. Its architecture fuses telemetry, logs, metrics, and traces into one actionable interface, empowering teams to visualize and analyse every stage of the AI lifecycle. Datadog has evolved from a classic infrastructure monitoring tool into a powerhouse for AI observability in the enterprise. The platform harnesses an integrated stack of telemetry capture, real-time analytics, and ML-specific dashboards that provide both high-level and granular perspectives in the entire AI lifecycle. As organizations scale their cloud infrastructure, the volume of logs, metrics, and traces generated grows exponentially.

Observability platforms help manage this data efficiently, providing insights into system performance, security, and troubleshooting. Among the leading solutions are Coralogix, Dynatrace, and the ELK Stack (Elasticsearch, Logstash, Kibana), each offering unique features suited to different use cases. Coralogix is a cloud-native observability platform that provides log analytics, metrics monitoring, tracing, and security insights in a unified solution. Unlike conventional log management tools that rely on indexed storage, Coralogix uses streaming analytics and machine learning to analyze logs in real time, optimizing costs and performance. Dynatrace is an enterprise-grade observability and application performance monitoring (APM) tool with AI-driven automation. It offers full-stack monitoring, user experience insights, and Davis AI for automated remediation, making it particularly suitable for large-scale enterprises that require deep automation.

The ELK Stack (Elasticsearch, Logstash, and Kibana) is an open-source log and metrics aggregation platform that provides powerful analytics and visualization capabilities. It is highly customizable, making it a preferred choice for organizations that want full control over their observability stack and are willing to manage infrastructure themselves. Each platform offers strengths depending on an organization’s needs: Smarter, faster, safer AI begins with full visibility. Coralogix’s AI Center provides the most advanced AI observability tools and dashboards, so you are fully in the know. Catch hallucinations, incorrect responses and system errors before they break the user experience and cause mistrust.

Monitor how each agent behaves across prompts, responses, workloads and model types to spot errors or sudden degradation. Surface inefficient prompts, token overuse, unexpected usage spikes, or cost harvesting attempts in real-time. Our one-of-a-kind Evaluation Engine gives you complete control: assign out-of-the-box or custom evaluators, such as for hallucinations, PII leaks, relevance, toxicity, and more, to every AI agent. Each message is scored in real time, so you can spot where the AI or user might be out of line. Coralogix Ltd. says it’s going to automate and extend the value of its observability tools to every business worker after closing on a $115 million late-stage funding today.

The Series E round coincides with the launch of its first artificial intelligence agent, called “olly,” which enables nontechnical users to explore the full power of its platform. Today’s round was led by NewView Capital and saw participation from the Canada Pension Plan Investment Board and NextEquity, a venture firm founded by former Apple Inc. executives Avie Tevanian and Fred Anderson. Numerous existing investors also participated, including Advent International, Brighton Park Capital, Revaia, Greenfield Partners, Red Dot Capital Partners, O.G. Tech, StageOne Ventures, Joule Capital Partners and Maor Investments. With today’s round, Coralogix is now valued at more than $1 billion.

The company is the creator of a “full-stack observability” platform that’s used by organizations to find and fix technical issues with their information technology infrastructure. It works by scanning the telemetry data created by IT and cloud systems, analyzing it for any signs of problems. It primarily aims to catch potential issues before they cause applications and software to stop working properly. Until now, Coralogix’s platform has generally been used by DevOps teams and IT infrastructure engineers. With the launch of olly, it wants to change that and enable anyone, including business leaders, product managers and other staff, to participate in observability. Enterprise software provider Coralogix recently pulled in $115 million in a Series E funding round that brings its valuation to over $1 billion.

The company will use the capital to accelerate the rollout of Olly, its new AI agent designed for observability. Olly works to make deep observability data accessible across an organization, including both technical and non-technical teams. The tool can determine the root cause of a technical failure within minutes, and it provides insights in plain language to help teams make the next move. The agent’s release marks Coralogix’s official expansion into the AI space, and it follows several other moves the company announced in 2025. Coralogix recently acquired Aporia, a solution for AI observability and guardrails, and it launched the Coralogix AI Center to offer real-time observability for AI applications on a unified platform. Related ResourcesTech & Startup Jobs in Boston

The Best Ai Observability Tools In 2025 Coralogix Com

People Also Search

<img Decoding="async" Src="/wp-content/uploads/2025/06/Group-2147255857.svg" Alt="" /> The New Standard Of Observability

This Sheer Volume And Complexity Have Pushed Traditional Monitoring To

As AI Adoption Accelerates—with 78% Of Organizations Now Using AI

Navy. Their Platform Provides End-to-end AI Visibility With OpenTelemetry Instrumentation,

Enter AI Observability, A Discipline That’s No Longer An Optional