Macroscope Announces its Launch with $30 Million in Series A Raise

Macroscope, an AI-powered understanding engine that gives leaders clarity while saving engineers time, led by Kayvon Beykpour, Joseph Bernstein, and Robert Bishop, has announced its launch and raised $30 million in Series A led by Lightspeed, with participation from Adverb, Thrive Capital, and Google Ventures, bringing the total funding to $40 million.

As companies ship exponentially more code, far less of it gets reviewed, making it harder to answer basic questions like: What got done this week? How are priorities progressing? How did the product evolve? Leaders struggle for clarity, while engineers waste hours on “work about work” in meetings and scattered tools. The result is stale, sugar-coated updates and bureaucratic process hell, the kind of frustration that pushes great engineers toward faster-moving startups.

Macroscope is an AI system that transforms codebases and tools like Linear or JIRA into clear answers, delivering real-time product summaries, productivity trends, true engineering allocation, and natural-language insights for leaders, while saving engineers hours with automatic PR summaries, bug fix suggestions, searchable feeds of code changes, and instant answers for debugging, onboarding, and exploration.

At the core of Macroscope is a perception layer powered by “code walking,” a system that traverses the Abstract Syntax Tree to map entire codebases. By surfacing the most relevant references, it gives language models the context needed to understand complex, multi-repo systems, catch subtle bugs, and generate accurate technical summaries, reducing hallucinations and noise while delivering the kind of precise insight that makes customers say: “Macroscope gets it.”

In a benchmark of 100+ real-world bugs across 45 open-source repos and 8 languages, Macroscope outperformed leading code review tools, catching 5% more bugs while generating 75% fewer comments. Compared to CodeRabbit, Cursor Bugbot, Greptile, and Graphite Diamond, Macroscope delivered the best balance of accuracy, signal-to-noise, and cost.