Digital Twins simulate behavior
Empower continuous discovery and innovation
- Predict how conditions change over time
- Model dynamic evidence-driven interactions
- Explore dynamic unbiased options and alternatives
About Causaition
Causaition is a biomimetic AI engine that employs an advanced digital twin ecosystem with a decision analysis workbench containing expert knowledge insights. This multi-disciplinary approach follows a set of principles rather than deterministic code.
Uncover realities invisible to ML/NLP
- Adds dynamic modeling and discovery to analytics
- Reveals causality and complex realities
- Applies real-world reasoning to real-world data
Causaition Biomimetic AI Engine
- Biomimetics is the emulation of the models, systems, and elements of nature to solve complex human problems.
- Causaition’s biomimetic AI digital twin ecosystem presents significant opportunities to identify novel and unique variants in processes that can drive the development of new solutions.
Our approach is a paradigm shift, moving from obscuring reality by narrow technological constraints to discovering reality by applying real-world reasoning to real-world data. As Einstein said, “You cannot solve problems using the thinking that caused them.”
Digital Twin EcoSystem
- Run scenarios
- Insights and actionable intelligence
- Predict the future
Knowledge Graphs
- SME Expert insights
- Model creation
- Understand relationships and connections
Industry Workbenches
- Built with SME input
- No need for coding
- Enables dynamic unbiased exploration
Model an object, person, or process
Optimize:
simulations
scenario planning
decision-making
Simulate behavior
Run Why analytics
Explore What if scenarios
Run Why analytics
Explore What if scenarios
Reduce time-to-market pressures, improve quality, and predict lifecycles:
- develop processes and optimize efficiencies and quality
- test new treatments and drugs
- find dark data anomalies and patterns
Organizations can create multiple digital twins to simulate complex relationships between entities. Generate richer behavior insights and optimize:
- simulations
- scenario planning
- decision making
Digital twins can form what’s known as an enterprise metaverse – a digital and often immersive environment that replicates and connects every aspect of an organization to optimize simulations, scenario planning, and decision-making.
Knowledge Graphs & Industry Workbench
Identify objects and understand the relationship between them
Combine diverse data
Organize knowledge in context and setting
Create knowledge
Causaition’s knowledge graphs support the creation of new knowledge, establishing connections between data points that may not have been apparent previously.
Improved problem analytics
Unbiased exploration of options and alternatives
Full evidence traceability
The workbench takes care of all aspects of data extraction, from processing to model deployments and visualization.