Independent research lab · Est. 2026
Working at the edges of meaningful problems.
Crux Adjacent Labs is built around a single orientation — working at the edges where domains meet. We point one cross-domain method at problems in AI, finance, the natural sciences, and the human scale of technological change. We build artifacts, run experiments, and publish what holds up.
What we work on
Eight areas, one orientation.
The orientation is the constant: a method for reasoning across domain boundaries. The areas are where we point it. Some are live with active work; others are directions the lab is opening — and homes for the researchers joining us to lead their own lines. Step into any one.
01
AI & Computational Science
The lab's core. Cognition infrastructure that lets systems reason across domain boundaries — and a layer beneath it, the study of how a model's architecture shapes what it can learn.
Cross-Domain Bridging · Model Architecture & Language Models · Causal Cartography
Explore the area02
Finance & Economics
Rigorous inference under regime change — modeling the non-stationary systems most market work quietly assumes away, and treating market behavior itself as a language a model can learn to read.
Markets Research · Market Glyphs
Explore the area03
Natural Sciences
Forestry, ecology, and biomimicry — reading what living systems have already solved over deep time, and borrowing the structure for problems of our own.
Heliomorph
Explore the area04
Physics & Mathematics
The formal spine beneath the applied work — the structures that recur once a problem is stripped to its mechanics. A connective layer today; standalone lines opening.
Open for incoming researchers
Explore the area05
Chemistry & Biology
The molecular and living scale — reactions, pathways, and the machinery of cells, where structure becomes mechanism. Rich in data and hard in causal structure: the regime cross-domain inference is built for.
Open for incoming researchers
Explore the area06
Medicine, Health Science & Longevity
Bringing cross-domain inference to biology's hardest open questions — from mechanism to healthspan. An area the lab is actively opening, in partnership with domain scientists leading their own research.
Open for incoming researchers
Explore the area07
Education & Humanity
What the AI transition asks of people, communities, and places — and tools that make hard things comprehensible to the people living through the change.
The Transition Campus · Pod Educator
Explore the area08
Enterprise & Commerce
Where the lab's research meets operating ventures — products and systems that stand on their own face, some of them the source of the questions the lab now studies.
VentureOS · AgentOS
Explore the areaWho we are
A small lab, working closely with AI.
The lab is deliberately small and deliberately hybrid: a human lead, an AI team that does real research work alongside him, and a growing bench of scientists joining to lead lines of their own.
Founder & Lead
Tim Cabble
A builder and coordinator by background, working across quantitative methods, software, and the cross-domain thinking the lab is built on. He sets the problems, directs the work, and keeps the lab honest.
Research collaborators
The AI team
The lab runs day to day with AI systems as genuine research collaborators — building artifacts, running experiments, and pressure-testing ideas, not just drafting text. How a human and an AI team actually do science together is part of what the lab studies.
Joining the lab
Incoming researchers
We're bringing on principal investigators — scientists with deep domain expertise who want to lead a line of their own here, especially across the areas still opening. Get in touch.
Get in touch
Direct, or follow the work.
The lab is a small operation, growing deliberately. Direct email is the fastest path for partnership, research collaboration, or — if you're a scientist who wants to lead a line of your own here — a conversation about that.