Applied scientific systems with explicit confidence semantics.
Explore domain workflows where uncertainty is not hidden metadata but an executable part of the program.
Domain Gallery
From pharmacometrics to climate ensembles, each path shows how trust is encoded.
Causal Inference
Bayesian networks with epistemic types for causal discovery and treatment effects
View workflowClimate Science
Climate modeling with uncertainty propagation for robust predictions
View workflowGenomics & Bioinformatics
RNA-seq, variant analysis, and pathway workflows with uncertainty-aware computation.
View workflowGPU Computing
High-performance physics simulations with native GPU kernels
View workflowNeuroimaging
fMRI pipeline analysis with confidence-gated processing and provenance tracking
View workflowPharmacometrics
PK/PD modeling with uncertainty quantification for drug development and clinical trial design
View workflowQuantum Chemistry
VQE algorithms with uncertainty quantification for quantum computing research
View workflowScientific Computing
Use Sounio for data analysis with built-in uncertainty quantification
View workflowTerminal Graphics
Beautiful scientific visualization with ASCII art, ANSI colors, and terminal-native 3D rendering
View workflow