drylab

intelligence needs structure

Drylab begins from a simple observation: scientific progress depends on both intelligence and structure. While our models of reasoning grow more capable, the structures that hold scientific knowledge remain brittle and incomplete.

context as infrastucture + memory for science

The knowledge we produce already exists in abundance, but it remains locked in documents that resist computation, or tacit formats. We are building the infrastructure that makes context a first-class object in science.

By standardizing how knowledge is represented and how context is built, Drylab creates the substrate on which scientific reasoning can be automated and extended. Our goal is to make the generation and accumulation of context effortless, so that both humans and machines can build upon a shared, living memory of science, where every new result strengthens the structure that future discovery depends on.