Reasoning Orchestration
"All causes of things are beginnings;
that we have scientific knowledge when we know the cause;
that to know a thing’s existence is to know the reason why it is."
Aristotle
Reasoning Orchestration with causa™
Adaptive Reasoning: Empowering foundation models to reason, collaborate, and communicate seamlessly. Model-agnostic orchestration enables hot-swapping on demand, ensuring the right expert is used at the right moment and dynamically assembling the optimal reasoning path.
Built-in AI Safety: Safety Risk Taxonomy for policies, prompts and responses. Human-in-the-Loop, minimizing risks of uncontrolled autonomy and metacognition.
Prompt Engineering: Chain-of-Thought Visual Guide
Bridging foundation models, intelligent systems, and robotic agents into a unified reasoning network. Paving the way for a new era of Cognitive Infrastructure.
Causal Reasoning
- basis to play with “what if” scenarios to find new quick wins;
- identify the right KPI and its influences with causal forecasting;
- explain relationship between data features and model predictions.
Causality helps to abstract domain knowledge with causal modeling to draw conclusions on the effect of interventions and potential outcomes.
Automation
- realize process mining to highlight automation potentials, estimate impact effects and timely reaction to risks;
- decouple behavioural patterns to understand customer decision journey.
Decision-making is at the core of every function in management and a part of any business process in enterprises.