The Lab

DeepField is built at Laxcorp Research, an independent research lab.

FROM THE FOUNDER

I fell for neural networks during my bachelor’s in computer science and mathematics, curiosity first and the math later, and the curiosity outlasted the coursework. The part that still gets me is the part everyone rushes past: show a stack of matrices enough of the world and it starts to know things nobody told it.

DeepField grew out of a question I could not put down. Networks can hear structure in pixels and speech. Point that kind of listening at the world itself, at markets and supply chains and the slow build-up before things break, and what does it hear? I have built software for years. This is the first thing I would gladly spend a decade on. My days go into building the architecture, the research agenda, and the software that runs it.

I keep few convictions and hold them loosely, the way an experiment holds a hypothesis. The one I will not trade: a belief that cannot be scored is a mood. The rest of this site is me trying to live up to that.

Chaitanya Laxman
Follow along at x.com/dantelaxman.

THE INSTRUMENT

The lab’s central artifact is the instrument itself: the engineering that makes six public methods run as one continuously operating system against the live world. That work is protected deliberately, in two ways. The infrastructure is patent pending. What the instrument learns, the calibrations and learned structure whose disclosure would be their loss, is held as trade secret and will never be filed. This site describes neither, by design. What will be published is the record.

FOUNDATIONS

The insights are DeepField’s own, and so is the instrument. The science beneath them is public, from causal inference to the study of critical transitions, and we cite it openly because a lab that hides its debts cannot be audited. The reading is collected in the Foundations; the insights are argued on the Method.