Galatek raises $30m Series A for AI lab and chip automation

Galatek’s raise sits at the intersection of two infrastructure bottlenecks in the AI era: scaling wet‑lab experimentation and scaling advanced chip packaging. Smart labs and semiconductor packaging lines are increasingly being redesigned as closed‑loop cyber‑physical systems where automation and computer vision drive throughput. By explicitly pitching itself as an AI infrastructure partner to global pharmas and chipmakers, Galatek is essentially betting that the next wave of AI value capture happens not in generic SaaS, but in deeply verticalized, capital‑intensive workflows.

For the race to AGI, this matters because AGI-class models will demand both vastly more experimental data in biology and far more sophisticated chip packaging to keep compute density rising. If firms like Galatek can standardize AI-native lab operations and precision packaging as a service, they lower the time and cost of iterating on new drugs, materials, and chips that, in turn, feed better training data and hardware back into the AI loop. The company’s “global supply chain + localized service” model also shows how Southeast Asian hubs like Singapore can become critical control points in the AI hardware and life‑sciences stack, not just data‑center locations.