Lightrun, an Israeli startup tackling the growing complexity of modern software development, has raised $70 million in a Series B round. The funding was co-led by Accel and returning investor Insight Partners, with participation from Citi, Glilot Capital, GTM Capital, and Sorenson Capital.
The company has now raised a total of $110 million.
As AI accelerates code production across enterprises, so too does the risk of bugs and system failures. Lightrun’s observability platform tackles this challenge by using AI to detect, simulate, and remediate bugs directly in production environments—before they cause disruption.
Debugging at the Speed of AI
Lightrun’s flagship product, the Runtime Autonomous AI Debugger, integrates with developers’ IDEs (Integrated Development Environments) and continuously monitors how new code interacts with existing live systems. By simulating behavior and applying AI-driven insights, it fixes potential issues before they go live—minimizing outages, downtime, and developer headaches.
“Code is cheap. Bugs are expensive,” said CEO Ilan Peleg, who co-founded the company with CTO Leonid Blouvshtein. “Developers can now ship more code than ever, but debugging remains a painfully manual process.”
The company counts Microsoft, Salesforce, SAP, ADP, AT&T, and NYSE/ICE among its customers. Strategic investor Citi also uses Lightrun internally.
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Profitable Timing Meets Explosive Growth
Lightrun reports a 4x increase in revenue since launch, driven by growing enterprise demand for AI-powered development tools. Accel partner Andrei Brasoveanu, who led the round, said he had been tracking the company for years but was compelled to invest after seeing the traction of its AI debugger.
While the observability space is crowded—with competitors like Datadog and AppDynamics—Lightrun’s deep integration into codebases during development gives it a distinctive edge. Unlike others, Lightrun offers real-time observability and remediation, embedded directly into the software lifecycle.
What’s Next?
Lightrun plans to invest heavily in R&D, scale its engineering and go-to-market teams, and further expand capabilities within IDEs. Potential future offerings could address cybersecurity and even closer integration at the point of code generation.
“We’re mitigating anything that threatens software resilience,” said Peleg. “As AI-generated code becomes more common, we’re building the infrastructure to keep it running smoothly.”
With $70 million in fresh capital and a unique AI-first approach, Lightrun is racing to become the go-to debugging layer for the future of software development—where code might be automatic, but resilience still requires intelligence.
