Traversal

Traversal is a technology firm founded in 2023 that provides an artificial intelligence-powered platform for site reliability engineering (SRE) and observability. The company emerged from stealth in June 2025, announcing a combined $48 million raised in seed and Series A funding rounds led by Sequoia Capital and Kleiner Perkins. The founding team consists of AI researchers Anish Agarwal (CEO), Raaz Dwivedi, Ahmed Lone, and Raj Agrawal. Their collective background includes professorships at Columbia and Cornell, research experience from MIT, UC Berkeley, and Caltech, and practical industry experience, which shaped their approach to solving complex software reliability issues.

The company's core offering is an "AI SRE," an intelligent agent designed to autonomously detect, troubleshoot, and resolve production incidents within modern software systems. This platform addresses the significant costs and engineering stress associated with software downtime, a problem exacerbated by the increasing complexity and volume of AI-generated code. Traversal's system analyzes vast amounts of telemetry data—including logs, metrics, and traces—to perform root cause analysis, moving beyond merely identifying symptoms to pinpointing the underlying cause of an outage. By leveraging a combination of large language models and causal machine learning, the AI agent can traverse massive datasets and orchestrate tool calls to identify issues in real-time.

Traversal's business model targets enterprise clients with high-stakes reliability needs, such as cloud infrastructure providers, financial institutions, and large-scale SaaS companies. It is already in use by customers like DigitalOcean, Eventbrite, Cloudways, and several Fortune 100 financial services companies. The platform can be deployed as a standalone solution or as an intelligence layer on top of existing observability stacks, offering flexible deployment options, including on-premise hosting to ensure data privacy and security. In addition to real-time incident remediation, the service performs proactive system health checks to identify and recommend fixes for potential problems before they escalate, aiming to facilitate a move toward self-healing systems.

Keywords: site reliability engineering, AI SRE, observability, root cause analysis, production incidents, software reliability, incident remediation, AI agent, causal machine learning, enterprise software, downtime reduction, system monitoring, troubleshooting automation, proactive health checks, self-healing systems, telemetry analysis, cloud infrastructure, financial technology, DevOps automation, software maintenance