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Traversal raises $120 million at $1 billion valuation
Nov 11, 2026
📍 Phliadelphia,PA, USA
# AI Startup Traversal Raises $120 Million at $1 Billion Valuation to Tackle Software Failures
Artificial intelligence startup Traversal has raised $120 million in a new funding round, bringing its valuation to $1 billion. The New York-based company is developing AI agents designed to detect software failures, identify their root causes and recommend solutions as businesses face growing challenges managing increasingly complex applications built with AI-generated code.
Announced on November 3, the funding round was co-led by Kleiner Perkins, Redpoint Ventures and Khosla Ventures. Existing investors Sequoia Capital and Battery Ventures also participated significantly. The new capital will help Traversal expand its AI platform, strengthen its technology and advance efforts to automate software troubleshooting.
Founded in 2023, Traversal builds AI agents that investigate technical problems across software applications and infrastructure. Its customers include major companies such as American Express, Pepsi and Blackstone, according to Forbes. The startup is targeting a growing problem for businesses that are adopting AI-powered coding tools to accelerate software development.
AI coding systems allow developers to build applications and introduce new features more quickly. However, the increased speed of development can also create complications when businesses need to monitor, maintain and repair the resulting software. As applications become more sophisticated, identifying the source of technical failures can require engineers to examine enormous amounts of data and system activity.
Traversal CEO and co-founder Anish Agarwal told Forbes that AI-generated software can experience problems that differ from those found in traditional applications. For example, an AI system may continue operating normally on the surface while its underlying model gradually develops unexpected behaviour. Similarly, software updates may successfully pass existing tests but still cause failures in situations that developers did not anticipate.
To address these challenges, Traversal's AI agents examine billions of logs and performance measurements collected from applications and infrastructure. By analysing this information, the system attempts to identify the underlying reasons for technical disruptions and recommend appropriate fixes. The technology is intended to reduce the time engineers spend investigating complex problems and help businesses restore services more efficiently.
The company has reported rapid growth in demand for its platform. According to Traversal, its annual recurring revenue increased ninefold during the six months before the funding announcement. Its AI agents also helped customers conduct more than 150,000 investigations during the previous quarter. Agarwal did not reveal the company's exact revenue figures, Forbes reported.
Agarwal also shared an example of how the technology can help businesses respond to serious operational problems. In one incident involving a bank, thousands of engineers reportedly gathered in a war room to investigate why customers were unable to access their accounts. After an extensive investigation, the issue was traced to a database operating slowly deep within the bank's infrastructure.
When a similar disruption occurred several months later, Traversal's AI agents reportedly completed the troubleshooting process in just five minutes. The example illustrates how automated investigation tools could help organisations reduce the time required to identify technical failures, particularly when problems involve multiple interconnected systems.
Mamoon Hamid, a partner at Kleiner Perkins, said the growing adoption of AI has made software reliability an increasingly urgent issue for businesses. As organisations use AI to develop and deploy applications at a faster pace, ensuring that those systems remain dependable is becoming an important part of technology operations.
Traversal was founded by Anish Agarwal, Raaz Dwivedi, Raj Agrawal and Ahmed Lone. The founders bring experience in computer science, machine learning and research. Agarwal is a professor of operations research and computer science at Columbia University, while Dwivedi holds a similar academic position at Cornell Tech. Agrawal earned a Ph.D. in computer science from MIT, and Lone previously worked at financial firm Citadel Securities.
The latest investment reflects a broader shift in the AI industry. While companies are spending heavily on tools that generate code and automate software development, they are also recognising the need for systems that can monitor those applications and prevent operational failures. Developing software faster does not necessarily guarantee that it will remain stable or perform as expected after deployment.
Traversal is positioning its platform to address this gap between creating software with AI and maintaining it reliably. With its new funding and growing customer activity, the company plans to expand its research, engineering and commercial operations while developing increasingly autonomous tools for software monitoring, investigation and troubleshooting.
Artificial intelligence startup Traversal has raised $120 million in a new funding round, bringing its valuation to $1 billion. The New York-based company is developing AI agents designed to detect software failures, identify their root causes and recommend solutions as businesses face growing challenges managing increasingly complex applications built with AI-generated code.
Announced on November 3, the funding round was co-led by Kleiner Perkins, Redpoint Ventures and Khosla Ventures. Existing investors Sequoia Capital and Battery Ventures also participated significantly. The new capital will help Traversal expand its AI platform, strengthen its technology and advance efforts to automate software troubleshooting.
Founded in 2023, Traversal builds AI agents that investigate technical problems across software applications and infrastructure. Its customers include major companies such as American Express, Pepsi and Blackstone, according to Forbes. The startup is targeting a growing problem for businesses that are adopting AI-powered coding tools to accelerate software development.
AI coding systems allow developers to build applications and introduce new features more quickly. However, the increased speed of development can also create complications when businesses need to monitor, maintain and repair the resulting software. As applications become more sophisticated, identifying the source of technical failures can require engineers to examine enormous amounts of data and system activity.
Traversal CEO and co-founder Anish Agarwal told Forbes that AI-generated software can experience problems that differ from those found in traditional applications. For example, an AI system may continue operating normally on the surface while its underlying model gradually develops unexpected behaviour. Similarly, software updates may successfully pass existing tests but still cause failures in situations that developers did not anticipate.
To address these challenges, Traversal's AI agents examine billions of logs and performance measurements collected from applications and infrastructure. By analysing this information, the system attempts to identify the underlying reasons for technical disruptions and recommend appropriate fixes. The technology is intended to reduce the time engineers spend investigating complex problems and help businesses restore services more efficiently.
The company has reported rapid growth in demand for its platform. According to Traversal, its annual recurring revenue increased ninefold during the six months before the funding announcement. Its AI agents also helped customers conduct more than 150,000 investigations during the previous quarter. Agarwal did not reveal the company's exact revenue figures, Forbes reported.
Agarwal also shared an example of how the technology can help businesses respond to serious operational problems. In one incident involving a bank, thousands of engineers reportedly gathered in a war room to investigate why customers were unable to access their accounts. After an extensive investigation, the issue was traced to a database operating slowly deep within the bank's infrastructure.
When a similar disruption occurred several months later, Traversal's AI agents reportedly completed the troubleshooting process in just five minutes. The example illustrates how automated investigation tools could help organisations reduce the time required to identify technical failures, particularly when problems involve multiple interconnected systems.
Mamoon Hamid, a partner at Kleiner Perkins, said the growing adoption of AI has made software reliability an increasingly urgent issue for businesses. As organisations use AI to develop and deploy applications at a faster pace, ensuring that those systems remain dependable is becoming an important part of technology operations.
Traversal was founded by Anish Agarwal, Raaz Dwivedi, Raj Agrawal and Ahmed Lone. The founders bring experience in computer science, machine learning and research. Agarwal is a professor of operations research and computer science at Columbia University, while Dwivedi holds a similar academic position at Cornell Tech. Agrawal earned a Ph.D. in computer science from MIT, and Lone previously worked at financial firm Citadel Securities.
The latest investment reflects a broader shift in the AI industry. While companies are spending heavily on tools that generate code and automate software development, they are also recognising the need for systems that can monitor those applications and prevent operational failures. Developing software faster does not necessarily guarantee that it will remain stable or perform as expected after deployment.
Traversal is positioning its platform to address this gap between creating software with AI and maintaining it reliably. With its new funding and growing customer activity, the company plans to expand its research, engineering and commercial operations while developing increasingly autonomous tools for software monitoring, investigation and troubleshooting.
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