Model. Compute. Analyze.
TKRISK is a probabilistic graph application used by engineers to build, explore and analyze risk models.
Simple interface. Powerful analytics.
TKRISK allows for interactive Directed Acyclic Graph (DAG) editing with customizable nodes expressing random variables and edges representing their conditional dependencies. The intiuitive user interface enables Bayesian models creation from scratch and powerful scenarios generation and analysis.
Simple
Building advanced risk models is made simple with TKRISK's flexible and well documented UI.
Powerful
TKRISK's analytical capabilities are powered by quantitative libraries developed and maintained by Tenokonda's R&D team.
Scalable
TKRISK is scalable by design leveraging existing cloud infrastructure.
TKRISK Modules
Graph Creation
Create probabilistic graph models
Graph Theory
Analyze graphs structure
Exact Inference
Infer probability distributions
Sampling
Forward sample graph models
Model Calibration
Calibrate graph models from observations
Structure Learning
Automatically generate graph structure from data
Scenario Analysis
Explore, visualize and analyze scenarios
Random Generator
Select random number generator most adapted to your needs
Scenario Engine
Generate joint stochastic paths
Distribution Fitter
Fit probability distributions on observed data
