Causely Named a Gartner Cool Vendor in AI for IT Operations 2025

We are excited to share that Gartner has named Causely a Cool Vendor for AI in IT Operations for 2025. For us, this recognition reflects what we’re seeing across engineering and operations teams everywhere. Systems are changing faster than traditional tools can keep up, and teams need a more reliable way to understand how their applications behave as they evolve. 

At the pace modern cloud-native systems move, reacting after symptoms appear is not enough. Teams need a reliability operating system that works continuously alongside their applications, maintains an up-to-date understanding of how everything fits together, and provides the context required for safe automation and proactive reliability. 

Why this recognition matters 

Modern cloud-native applications evolve constantly. Every deploy, configuration change, traffic surge, and infrastructure adjustment can reshape system behavior. The pace is so fast that even the best teams struggle to reason about what is happening and why. 

Traditional observability dashboards can show what happened after symptoms appear, and AI copilots can help speed up triage, but reacting after the fact isn’t good enough for business-critical applications. 

Teams need something that runs continuously alongside their systems, understands how everything fits together, and helps them see how changes will affect performance before they land in production. That’s the foundation for proactive reliability, not just faster incident response. 

What Gartner recognized about Causely 

Gartner recognized Causely for taking a fundamentally different approach to reliability in modern systems. Instead of reacting to symptoms after they spread, Causely maintains a live causality graph that reflects how services, dependencies, and performance constraints relate to one another as the environment evolves. By continuously analyzing telemetry, Causely identifies the underlying driver behind emerging changes in golden signals, even when failures cascade across multiple services, including the code change, configuration update, or operational event that first introduced risk. 

This continuous causal inference is what enables proactive reliability. Causely provides clear direction on where to focus and what action is most likely to reduce performance risk, long before issues escalate. The same causal model supports both pre-production and production, helping teams understand how behavior will shift during testing, rollout, and real-world load. 

Causely runs locally as a lightweight, containerized system and processes telemetry without exporting raw data. This eliminates the need for central pipelines, avoids sampling or data volume constraints, and gives teams high-fidelity insight that integrates directly into their engineering workflows through APIs, webhooks, and an MCP server. This structured context supports both human decisions and safe automation. 

For us, this recognition validates the direction we have been building toward. The future of reliability is proactive, predictive, and grounded in causal understanding. 

Who should care? 

Causely is designed for teams responsible for building and operating modern distributed systems. It gives engineering and operations organizations a clearer understanding of how system behavior changes over time and how those changes affect reliability. Whether preparing a release, managing growth, or diagnosing unexpected behavior, teams need deeper clarity to make confident decisions. Continuous causal inference provides that clarity. 

Looking ahead 

We’re grateful to Gartner for this recognition and excited about what it represents. Reliability is entering a new chapter. Systems are more dynamic, AI workloads are growing, and teams need deeper clarity to keep everything running smoothly. 

Causely’s mission is to provide that reliability. Continuous causal inference helps teams prevent issues before they escalate, support high-velocity engineering without sacrificing reliability, and give both humans and automation the context they need to act safely. 

We’re excited for what’s ahead and proud to help shape the future of reliable, intelligent, and resilient systems. 

Want to learn what this could look like for your organization? Get started with Causely today.  

Gartner subscribers can view the full report for more information.