Israeli startup Lightrun has successfully raised $70 million in Series B funding, bringing its total funding to $110 million since its inception. The corporation focuses on an observability platform created to locally find and debug code before problems arise. Lightrun was co-founded in 2017 by Ilan Peleg and Leonid Blouvshtein. Their mission is to increase the resilience of software by embedding powerful debugging tools directly into developers’ workflows.
Lightrun’s observability toolset stands out from the crowd by letting you monitor code in real-time, directly in integrated developer environments (IDEs). This collaborative and cutting-edge method educates developers on how their code performs in the context of production software. Because of this, it greatly reduces mistakes and increases software quality. The announcement of Lightrun’s new AI-based debugging tool, the Runtime Autonomous AI Debugger, in July 2024 marks a significant milestone in the company’s journey toward creating a more reliable coding environment.
Ilan Peleg, who is Lightrun’s CEO, said in a statement that it was critical to fix software vulnerabilities. “As code gets cheaper, the price of bugs/gaps remains constant,” he said. “Code is becoming cheap but bugs are expensive,” Peleg stated. This perspective underlines the urgency for tools that can preemptively identify potential coding issues before they escalate into costly problems.
Lightrun embeds its observability solutions inside existing development frameworks. This gives teams the flexibility to release software faster while reducing the impact of surprises or unforeseen bugs in production.
That’s a bit of surprising news for a company that has seen massive growth since its debut, with revenues growing 4.5x. This remarkable trajectory underscores an increasing demand for tools that enhance transparency. These tools offer more control over your code, as you move from development to production. Lightrun’s success is rooted in its well defined strategic direction. It aligns perfectly with the urgent need for solutions that address the full spectrum of software supply chain security challenges.
Lightrun’s $23 million Series A funding round was led by Insight. This investment allowed the startup to make the transition to observability and debugging. Our investors—led by the world-class team at JVP—understand that amazing potential and share our vision. It revolutionizes the way developers make sense of their code, reducing diagnostic efforts and accelerating the software release cycle.
The Runtime Autonomous AI Debugger is the most important step forward for Lightrun yet. Originally designed to run in the background of IDEs, it gives developers real-time insights into how their code will perform. The tool leverages advanced artificial intelligence to flag potential issues based on coding patterns and historical claims data. This gives developers the ability to see impact analysis before they deploy a change to production.
As the software landscape continues to evolve, the ease with which developers can debug is getting harder and harder. Peleg acknowledged this challenge, stating, “These might be in our future, but even focusing and working only on the problem of software remediation once executed is complex and wide.” This acknowledgement of the complex and multifaceted nature of debugging is a testament to Lightrun’s mission to build the most complete solutions for today’s development teams.