logcat.ai raises $2.55M to automate OS bring-up for device makers

logcat.ai raised a $2.55 million pre-seed round to push AI agents into OS bring-up and cross-layer debugging for OEMs, ODMs and chipmakers. The Seattle- and Bengaluru-based startup says its platform is already working with hundreds of engineering teams and has analyzed more than 10 billion lines of trace data.

Why it matters: - OS bring-up is a high-friction step for device makers because one defect can span the modem, kernel, bootloader, middleware and build system. - The shortage of engineers who can debug across those layers slows launches for chipmakers, OEMs, ODMs and contract manufacturers. - The stakes extend beyond smartphones to vehicles, robots, network and telecom equipment, and other embedded hardware.

What happened: - logcat.ai raised a $2.55 million pre-seed round to bring autonomous AI agents to Android and Linux systems engineering. - The round was led by Founders' Co-op. - Participating investors included Act One Ventures, TheFounderVC, Shorewind Capital, Clayoquot Capital and Alumni Ventures. - The company is based in Seattle and Bengaluru, India. - logcat.ai was founded in 2025.

The details: - The company’s investigation engine, Delta, reads device engineering logs and traces already produced by engineering teams. - Delta correlates signals across layers to isolate root causes. - The platform maps findings back into the codebase with a recommended fix. - Delta cites exact log lines so teams can verify the work before shipping. - Since beta launch, logcat.ai says it has served hundreds of engineering teams. - The platform has analyzed more than 10 billion lines of trace data. - The company says it has run thousands of autonomous investigations. - logcat.ai says it is already generating revenue from beta customers. - The company’s long-term goal is to become the standard platform for OS bring-up across new and existing hardware. - The company plans to hire about 10 people over the next year as a distributed team. - Hiring is expected to focus on engineers near hardware manufacturing centers.

Between the lines: - The funding reflects investor interest in AI tools that work at the systems layer, not just in application development. - General-purpose coding assistants have not addressed the specialized debugging needed for real silicon, which leaves room for a narrower product with a clearer workflow fit. - Founders' Co-op partner Aviel Ginzburg said the firm sees logcat.ai as one of the few teams positioned to build tooling as software and intelligence move deeper into the device supply chain. - The startup’s location in Seattle and Bengaluru suggests a product and hiring strategy built around proximity to both engineering talent and hardware ecosystems.

What's next: - logcat.ai plans to expand from a two-founder team into a distributed company over the next year. - The company will keep targeting OEMs, ODMs, chipmakers and engineering partners that need faster bring-up and cross-layer root-cause analysis. - logcat.ai also aims to widen adoption beyond beta customers as it builds toward becoming the default OS bring-up tool for device manufacturers.

The bottom line: - logcat.ai is betting that AI can cut one of hardware development’s slowest, most specialized debugging loops, and investors are backing that bet with fresh capital.