Lightrun, an Israeli startup that has developed an AI-powered observability platform to identify and debug code in production, has secured $70 million in Series B funding. The round was co-led by Accel and Insight Partners, with participation from Citi, Glilot Capital, GTM Capital, and Sorenson Capital, bringing the total amount raised to $110 million.
The funding underscores the growing demand for tools that can help developers manage the increasing complexity of code and mitigate the risk of bugs and crashes. Lightrun’s customers include major companies such as ADP, AT&T, ICE/NYSE, Inditex, Microsoft, Priceline, Salesforce, and SAP, with Citi also participating as a strategic backer.
Lightrun‘s platform uses AI to monitor code in integrated developer environments (IDEs) and simulate its behavior in production, allowing for automatic adjustments to be made to prevent issues. The company’s Runtime Autonomous AI Debugger, launched in July 2024, has been a key factor in its growth, with revenues increasing 4.5 times since its launch.
According to Ilan Peleg, Lightrun’s CEO, the company’s toolset is unique in its ability to monitor code in the IDE and understand how it will behave in production, allowing for minimal interruption and cost to the organization. “Code is becoming cheap but bugs are expensive,” Peleg said, highlighting the growing need for effective debugging tools.
Wallarm launches Agentic AI Protection to defend against prompt attacks
With the new funding, Lightrun plans to continue building out its tools and talent, focusing on the IDE and mitigating risks to resilience. While the company has potential opportunities to expand into areas such as cybersecurity and code creation, its current focus remains on software remediation.
As Andrei Brasoveanu, the Accel partner who led the investment, noted, “Everything came together last year. They saw acceleration in the enterprise, all because of AI.” Lightrun’s growth is a testament to the increasing importance of AI-powered debugging tools in the development landscape.
