Anaphor Labs · Research, design & systems

Make complexity work in the real world.

A cross-disciplinary practice for problems that cross design, engineering, computation, living systems, and creative work. We frame the system, find the useful form, and build toward evidence.

How we work Bring a problem

01 · Method

Start with the system. Choose the discipline second.

The practice is grounded in mathematics and computer science, with design and engineering used as ways to think, test, and make, not as labels applied after the fact.

01
Frame
Name the real problem, the people inside it, and the decision that must improve.
02
Map
Trace constraints, incentives, hand-offs, dependencies, and assumptions before choosing a tool.
03
Make
Build the smallest useful model, design, or prototype that can produce evidence.
04
Learn
Record what changed, what failed, and the next decision without laundering uncertainty.

02 · What we do

One practice. Many useful forms.

Connected working directions, not a one-size-fits-all stack. The method follows the problem.

01
Problem framing & research
Turn a vague brief into a legible system: the question, constraints, evidence, and next useful decision.
02
Products, spaces & 3D
Shape ideas into diagrams, models, prototypes, interfaces, and physical or spatial forms that can be tested.
03
AI systems & subsystems
Design bounded AI capabilities around real work: local models, agents, transcription, tools, and human approval.
04
Visual, audio & multimodal
Work with signal, image, voice, and video when a problem needs more than a text box to be understood.
05
Observation & surveillance
Build privacy-conscious ways to observe a site or process, surface what matters, and keep access properly controlled.
06
Living systems & creative work
Bring mathematics, computing, biology, plants, and story-led experimentation into the same careful conversation.