Traversal Hits $1B Valuation With $120M Series B to Build Self-Driving Production

Traversal, which uses AI to investigate and resolve software production incidents, has secured $120 million in Series B funding at a $1 billion valuation. The round was co-led by Kleiner Perkins, Redpoint Ventures and Khosla Ventures, with significant participation from Sequoia and Battery Ventures.

The company was co-founded by Anish Agarwal, Raaz Dwivedi, Raj Agrawal and Ahmed Lone, three of whom came from causal machine learning and reinforcement learning research at MIT, Berkeley, Columbia and Cornell. They argue that while coding agents are producing more code, they are also adding complexity that engineers must debug once it reaches production.

Traversal’s Production World Model turns telemetry, code, deployment history and tribal knowledge into an AI-readable representation of production, while its Causal Search Engine lets agents test thousands of hypotheses in parallel to identify evidence-backed root causes rather than mistaking correlation for cause, a weakness in LLMs highlighted by Anthropic SRE lead Alex Palcuie.

Monthly investigations have grown more than 100-fold this year to nearly 73,000, with two-thirds of usage now extending beyond root cause analysis. The company has also introduced Traversal Workers, proactive agents that respond to anomalies, and Traversal MCP, which feeds production intelligence back to coding agents.

The funding will support hiring across research, engineering and go-to-market as Traversal works towards autonomous production operations.