Lightrun Raises $70M to Expand its AI-Powered Debugging Platform

You are currently viewing Lightrun Raises $70M to Expand its AI-Powered Debugging Platform

AI might be speeding up software development, but it’s also introducing a flood of new bugs. Enter Lightrun, an Israeli startup aiming to fix that. The company just announced a $70 million Series B round to expand its AI-powered observability and debugging platform designed to catch code issues before they cause crashes in production.

With Accel and Insight Partners leading the round, and participation from Citi, GTM Capital, Glilot Capital, and Sorenson Capital, Lightrun has now raised $110 million total to date.

Why Lightrun Is Gaining Attention

Lightrun is tackling one of modern development’s biggest challenges: code is being written faster than ever, but debugging remains painfully manual. Their solution? An AI-driven observability tool that can:

  • Monitor live code within the Integrated Development Environment (IDE)
  • Simulate code behavior before it hits production
  • Automatically fix issues before they break apps
  • Minimize downtime and costly manual interventions

Highlight Product: Runtime Autonomous AI Debugger

Launched in July 2024, this new tool integrates directly into IDEs and uses AI simulations to identify and resolve bugs as code is being written and tested, before it ever goes live.

Enterprise Traction & Strategic Backers

Lightrun is already working with major enterprise clients, including:

  • Citi (also a strategic investor)
  • Microsoft
  • Salesforce
  • AT&T
  • Priceline
  • SAP
  • ADP, ICE/NYSE, Inditex, and more

This traction, alongside a fourfold revenue increase since launch, was a key reason Accel’s Andrei Brasoveanu decided to back the company after years of watching it grow.

The Bigger Problem: AI Means More Code — and More Bugs

“Code is becoming cheap, but bugs are expensive,” said Ilan Peleg, Lightrun’s CEO and co-founder (and former national middle-distance champion).

As AI coding assistants like GitHub Copilot and ChatGPT generate more code than ever, the volume of production issues is skyrocketing. According to estimates, 30–60% of these bugs stem from code created by both humans and machines.

Lightrun aims to fix this by observing and simulating how new code will behave in real-world environments, allowing companies to debug before deploying.

What’s Next for Lightrun?

While some observability platforms like Datadog and AppDynamics focus on post-deployment issues, Lightrun’s approach is proactive, not reactive. And that opens the door to several future directions:

  • Cybersecurity tooling: Bugs often create security vulnerabilities.
  • Earlier integration: Embedding debugging closer to the point of code generation.
  • Code assistants: While not the current focus, Lightrun isn’t ruling out this space.

For now, Peleg says the goal is to stay focused: “Everything that poses risk to resilience, we are mitigating.”

Final Thoughts

As AI continues to transform how code is written, Lightrun is laser-focused on how it’s debugged. With $70 million in fresh funding and a growing list of top-tier customers, the company is positioning itself as a leader in real-time, AI-powered software resilience.

Get the Latest AI News on AI Content Minds Blog

Leave a Reply