IBM Decision Optimization vs. Oscilar

IBM Decision Optimization is a family of prescriptive analytics products that combines mathematical and AI techniques to help with business decision-making including operational, tactical and strategic planning and scheduling use cases. The solutions enable business decision-makers to choose the optimal course of action from millions of alternatives when faced with decisions that involve multiple variables, trade-off possibilities and complex constraints.

Oscilar is the agentic risk platform for banks, credit unions, sponsor banks, fintechs and crypto platforms. It brings onboarding (KYC/KYB), fraud detection, credit underwriting and AML transaction monitoring together on one no-code decision engine. Risk teams build workflows with a drag-and-drop builder or by describing the logic in plain English. They can test every change before it reaches production: backtest against historical data, run A/B tests, or deploy in shadow mode, where the new version runs side by side with the live one on real traffic without affecting decisions.