Traversal Raises $120M Series B at $1 billion valuation for AI site reliability. Last Updated: 4 November 2026 Co-founder of JustAINews Key Points * Traversal raised $120 million in Series B funding at a $1 billion valuation, bringing total funding to $173 million. * Kleiner Perkins, Redpoint Ventures, Khosla Ventures, Sequoia Capital, Battery Ventures, and Amex Ventures backed Traversal's latest round. * Traversal develops AI tools that investigate software failures, while reporting ninefold annual recurring revenue growth year to date. Credits: Traversal What Is Traversal? Traversal is a New York-based AI software company developing autonomous agents for site reliability engineering (SRE). Its platform helps enterprise engineering and IT teams monitor complex software systems, investigate technical failures, identify root causes, and resolve or prevent production incidents. Traversal serves large enterprises and technology companies across industries including financial services, cloud computing, consumer goods, and legal technology. Its customers include Nubank, DigitalOcean, PepsiCo, and Harvey. Founded by Anish Agarwal, Raaz Dwivedi, Raj Agrawal, and Ahmed Lone, Traversal uses causal machine learning to improve software reliability and reduce downtime. Traversal Raises $120 Million in Series B Funding Traversal announced a $120 million Series B funding round at a $1 billion valuation on November 3, 2026. Kleiner Perkins, Redpoint Ventures, and Khosla Ventures co-led the investment, with participation from Sequoia Capital, Battery Ventures, and Amex Ventures. The round brings Traversal's total funding to $173 million. The investment comes as software systems become harder to maintain. AI coding tools allow developers to produce more code in less time, increasing the complexity of the systems companies must operate. According to a 2026 report from Splunk and Oxford Economics, unplanned downtime costs the world's 2,000 largest companies around $600 billion annually, up 50% in two years. Why Software Failures Are Difficult for AI to Diagnose Site reliability engineering involves keeping websites, applications, and digital services running properly. When something fails, engineers must examine technical records, recent updates, and other information to find the cause. These investigations can take hours, particularly when several systems depend on one another. AI agents can assist with this process, although their results are not always reliable. Traversal tested five advanced AI agents using ORCA-bench, an evaluation developed with Cornell Tech and Columbia University. The best-performing agent correctly handled just 25.3% of incidents of medium difficulty, falling to 10% when the descriptions were unclear. The benchmark included 1,079 tasks focused on identifying the causes of incidents. Hallucination rates, which measure cases where AI produces incorrect or unsupported information, reached as high as 40%. The results illustrate the difficulties of using general-purpose AI systems to investigate technical failures. "Traversal is compressing hours of incident investigation into minutes, and the company is on a path to becoming the system of intelligence for how enterprise software runs and heals itself." - Jai Sajnani, Partner at Khosla Ventures How Traversal Plans to Spend the $120 Million Traversal plans to use the funding to develop its AI software reliability platform further. Its goal is to automate more of the work involved in investigating and resolving technical incidents, allowing engineers to spend less time troubleshooting. The company has already introduced Workers, AI agents that monitor production environments and begin investigations when they detect unusual activity. Through Traversal MCP, it also allows AI coding agents to access information about production systems, helping developers identify potential reliability problems earlier. The funding will also support hiring across research, engineering, and go-to-market teams. Traversal has not disclosed specific hiring targets or geographic expansion plans. The company intends to extend its technology across more stages of software development and maintenance. How Traversal's AI Investigates Software Problems Traversal uses two main technologies to understand what happens inside complex software systems. Its Production World Model maintains an updated picture of a company's applications, infrastructure, and the connections between them. The Causal Search Engine then examines possible explanations for an incident to determine what caused the failure. The system draws on causal machine learning, which studies relationships between events and their causes. For example, if an online banking application stops working, Traversal can examine software updates, infrastructure changes, and recent system activity to identify what went wrong. This can reduce the amount of manual investigation required. Traversal's annual recurring revenue grew ninefold year to date, according to the company. Product usage increased almost 100 times, while monthly active users rose nearly 20 times over the same period. Customers also carried out more than 150,000 investigations last quarter, with the platform supporting over 4,000 engineers. Annual recurring revenue, or ARR, measures the subscription revenue a company expects to receive over a year. Traversal has not disclosed its total revenue, so the reported growth figures do not establish the current size of its business. "After two years refining our technology, we're seeing customers expand how they use Traversal across increasingly complex production environments. This funding brings us closer to our vision of letting engineers engineer." - Anish Agarwal, CEO and Co-Founder of Traversal The Investors Behind Traversal's Series B Traversal emerged from stealth in June 2025, announcing $48 million across its seed and Series A rounds. Sequoia Capital led the seed investment, while Kleiner Perkins led the Series A. In December 2025, the company received a separate strategic investment from Amex Ventures, the investment arm of American Express. The latest financing also saw existing investors increase their commitments. Kleiner Perkins invested again following its earlier participation, while Sequoia Capital used its growth fund to substantially expand its stake. The company's backers include venture capital firms that invest in technology businesses at different stages of development. The new funding follows Traversal's reported growth in revenue and product adoption. Funding details. * Company name: Traversal * Funding round: Series B * Date: November 3, 2026 * Funding amount: $120 million * Valuation: $1 billion * Lead investors: Kleiner Perkins, Redpoint Ventures, and Khosla Ventures Get the industry's biggest AI news straight to your inbox.

New York startup Traversal has raised $120 million at a $1 billion valuation, as of November 3, 2026. The money will fund its AI platform that finds, diagnoses, and prevents production outages in enterprise software. The platform combines agentic AI and causal machine learning to resolve complex incidents on its own. Traversal reports more than 90% root-cause accuracy and an average 85% cut in mean time to recovery on critical incidents. It also reports 8x growth in annual recurring revenue over six months. Customers include DigitalOcean and PepsiCo. Founded in 2023, Traversal emerged from stealth in June 2025 with $48 million in seed and Series A funding led by Sequoia Capital and Kleiner Perkins.

The potential jump in valuation and investor interest underscores the frenzy around AI coding.