Tenokonda develops risk intelligence software for businesses, focusing on advanced modeling and analysis capabilities. The software allows users to build risk models, run simulations, and analyze results. Tenokonda's approach incorporates recent developments in graph theory and scenario analysis. A key feature is their Bayesian framework for modeling causal relationships, which enables probabilistic inference among multiple variables. This methodology aims to provide a more nuanced understanding of complex risk scenarios and their potential outcomes.

SaaS

• The graphical models are an easy visual way to design models and interact with them
• The scenario engine allows for random variables and processes modeling and simulation for risk analysis
• The structure learning feature automatically generates graph structure from data and identifies dependencies between variables

Tenokonda's software is capable of modeling any type scenario, from geological to financial, as long as the users input the variables and distributions of the model, and the relationships between them. Some examples include:

• Pressure build up during injection (how it increases over time and how far it reaches)
• Land capacity (determine if a storage site is a good fit for a given amount of CO2 to be stored)
• Plume migration (how CO2 travels away from the injector well)
• Financial models (determine optimal portfolio, evaluate risks, etc.)
• Field development planning