Operating System for Research & Design
LithiOS turns research and design into a continuously learning computational process. The domain is interchangeable. The logic is the same.
What it is
An operating system for self-optimizing research and design — the methodological and organizational infrastructure that makes cross-domain computational development possible.
What it is not
Not a project management tool. Not a knowledge graph. Not domain-specific AI. Not a simulation platform. Those operate within LithiOS — not instead of it.
The key property
At every moment the system knows what has been tested, what remains uncertain, which next action yields maximum information gain, and how new data changes the design.
The Loop
01
Problem
Define the design space and constraints
02
Model
What do we believe about the system?
03
Experiment
Highest-information next action
04
Data
What did we learn?
05
Evaluation
How does this change our model?
06
Optimization
Next best design or decision
07
Fabrication
Physical or digital output
08
Feedback
Real-world response closes the loop
Architecture
Layer 01
Infrastructure
Experiment graph, dependency tracking, version control for models and design states, uncertainty registry, active learning scheduler. The organizational layer above intelligence.
Layer 02
Intelligence
Surrogate models, Physics-Informed Neural Networks, uncertainty quantification, multi-objective optimization, design space exploration. The intelligence layer operates within LithiOS.
Layer 03
Domains
Architecture, materials science, biomedical engineering, climate systems — not five different products but five applications of the same underlying computational logic.
Domains
A
Biomedical Engineering
AAV capsid engineering, gene therapy delivery, protein design. Parvotec demonstrator.
B
Material & Architecture
Bio-based materials, digital fabrication, computational design. BRIX demonstrator.
C
Computational Materials
High-throughput materials screening, property prediction. AFLOWTEX demonstrator.
D
Urban & Climate
Complex systems design at city scale. Climate-responsive optimization.
"LithiOS is what research looks like
when it knows what it knows."
A project is no longer a sequence of documents and meetings. It is a running experiment that tracks what has been tested, what remains uncertain, and which next investigation yields the greatest information gain.
Digital fabrication, material ecology, computational design, and self-optimizing research belong to a single story. LithiOS is the last step.