One dataset tells a machine where it is. Another shows it what a task looks like. A third captures what its sensors are reading. Each was collected for a different problem, by a different discipline, in a different format.

Humanoids on warehouse floors, robots in kitchens, and machines on job sites must perceive, decide, manipulate, and adapt simultaneously, in environments that were never designed for them. Intelligence like that cannot be built from datasets that were never designed to work together.

What machines need instead is a record of work itself: hands and tools, sequences and corrections, the pace of a real shift, the moment something goes wrong and a person adapts — not staged demonstrations.

Pacifica enables the physical world through real-world data infrastructure and end-to-end capture hardware support. We deliver operational data as footage of people performing real tasks, in real environments, across Asia and Latin America — from homes and factories to retail, logistics, and care facilities, reflecting the complexity and variability of the physical world. Available off the shelf or collected to your specification — with delivery throughput around 10,000 hours a week and programs our network scales to the 1,000,000-hour level.

We operate a closed loop across five layers: field operations, capture infrastructure, data processing, model feedback, and the hardware used to collect it. What a model needs shapes what we collect next — directed capture against a designed distribution rather than passive accumulation.