Artificial intelligence-powered software observability startup Lightrun Inc. announced today it has raised $70 million in a Series B funding led by Accel and Insight Partners to build out its platform that helps developers catch and resolve issues while the software is running.

Citi, Glilot Capital, GTM Capital, and Sorenson Capital also participated in the round. This funding brings the total raised by the company to $110 million following an $18 million Series A round led by GTM Capital in July.

Founded in 2019, Lightrun provides a developer-centered observability platform that allows developers to add logs, metrics and snapshots directly to running applications without needing to recompile or release new versions.

The company also offers an AI-based debugging tool that integrates into developer tools called the Runtime Autonomous AI Debugger. Traditionally, developers must catch most issues and bugs during development before code is deployed.

However, as with most things, it’s hard to tell how anything is going to work until it’s actually in production where the plan comes together. As a result, most of the time developers only fix critical issues after something explodes in development and get sent back to them after it has been reverted. What if something can be caught while it’s happening and before it’s a major issue?

According to Lightrun, its platform allows developers to continue debugging and fixing software without leaving their editing software even after deploying. That means if something does break in production, they’re already in their favored environment.

“In 2024, dramatic shifts in the software delivery life cycle — from the exponential acceleration of software delivery by AI code assistants to the rising importance of resiliency — have made the SDLC increasingly vulnerable,” Chief Executive Ilan Peleg. “Lightrun bridges this gap, ensuring that once code hits production, teams can move fast and stay reliable.”

The platform’s AI tool automates the entire debugging journey from the initial ticket by pinpointing the initial issue in production and identifying it for the developer in their development environment. It also offers code suggestions on how it can be fixed. It uses generative AI models based on the company’s context, observability, logging and telemetry that the developers can add to their software at runtime.

The upshot is that if something does go wrong, the AI tool can get the developer into the code, find the problem line, function or section quickly, and have a suggestion on hand. That could be the difference between taking hours to pore over logs, then diving into code to find the specific culprit line, and finally developing a fix, testing it and deploying it or minutes to accept and refine a recommendation.

“As autonomous software development becomes reality, we see the next frontier in autonomous remediation — software that can fix itself autonomously,” added Peleg.

Lightrun continues to show significant growth, the company said. Since 2024, it has onboarded numerous Fortune 500 companies including Citigroup Inc., ADP Inc., AT&T Inc., Microsoft Corp., Salesforce Inc. and SAP SE. The company also doubled the size of its team, scaling to support the increasing demand.

With the new funding, the company said it intends to move beyond traditional monitoring into full-scale remediation. The Autonomous Debugger has already proved it can redefine how developers and software reliability engineers and operations teams can handle issues in real-time. Lightrun said it intends to continue to scale the product and advance its capabilities to bring its autonomous capabilities to bear and shift the industry away from post-mortem observability to proactive and autonomous problem resolution.

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