Decision Power Today for a More Confident Tomorrow
Predictive Analytics For Insights Into The Future
Decision Power Today for a More Confident Tomorrow
Providing Access to Advanced Analytics at Your Fingertips
RWISE Reference World Information and Simulation Environment 4.0
A powerful combination of data analytics, AI, ML, and Agent-based Societal modeling & Simulation
The Reference World Information Synthetic Environment (RWISE) platform is a decision-making tool providing reliable, actionable information and data-driven insights that allow leaders to test policies, identify shortfalls, examine multiple parallel simulations, and compare key metrics of proposed courses of action before committing resources.
Reference World is more than a data analytics or Modeling & Simulation software. It is an AI/ML/DS enriched workflow that moves data first through curation, extract, transform, load, then through AI/ML capture and creation of a relationship network model. All relationships within and between data sets are integrated into a synthetic model. We provide an AI/ML enriched Simulation engine where you can test the future impacts of changing variable based on the synthetic models.
Introducing RWISE!
Seeing is believing
In its fourth generation, RWISE offers the most intelligent process for Data Curation, Intelligent Integration of Algorithms, and Agent-Based Modeling. Its proprietary process addresses normal statistical biases that have corrupted and degraded the reliability of competitive architectures. AND we’ve been doing this for a while!
Why Choose RWISE?
Our synthetic models mimic the human brain to forecast Changes in Human Behavior.
RWISE Uses Multiple Machine Learning Technologies
Greater Intelligence Applied to Complex Machine Learning
The Power of Both Inductive and Deductive Modeling
Competitive platforms focus on Deductive modeling. (Generally working off of legacy assumptions)
Both "Human in the Loop" as well as "Human on the Loop"
This provides greater flexibility in manipulating the future environment. Automated process with human intervention as needed.
Agent-Based Modeling
Change the conditions to see the impact of future actions.
Mimic the Human Brain
Building the Synthetic Enviroment Data Ingestion and Curation
Data is ingested into the RWISE platform, where it is curated and securely stored.
Creating the Neural Connections
RWISE creates a neural network much like the human brain.