The Scenario Engine lets you explore your data without needing a model for every case. Fully self-supervised and structure-aware.
Traditional database queries can only return what already exists in the data, typically in large enough volumes to be statistically meaningful. If the pattern you are searching for is rare or sparse, the query provides little or no insight.
At the same time, traditional modeling workflows require building a custom model for each new question. Want to predict Y given X? Train a model. Want to simulate other outcomes? Train another one.
Boltz AI™ Scenario Engine is an add-on solution to the Synthetic Data Generator. While the Synthetic Data Generator learns the structure of your data in a self-supervised way, the Scenario Engine enables you to ask "what if" questions, generate outputs under specific conditions and constraints, and simulate outcomes of interest without building or retraining multiple models.
It’s like chatting with your data — fluent, generative, and unbound by fixed input-output definitions.
Generate patient records to train models or simulate workflows when real data is incomplete or costly.
Generate patient data for clinical trials, recruitment, or control group simulation to accelerate research.
Simulate anomalies, stress-test systems, or generate financial data patterns for robust analysis.
Replicate hard-to-reach populations, test campaigns, and uncover insights beyond limited real-world data.
Model edge cases and simulate cybersecurity threats or infrastructure stress scenarios.
Generate synthetic customer journeys and behaviors to optimize targeting and personalization.