top of page

Causal Generative

Blackbox AI Platform

As data science practitioners, we understand the limitation of blackbox AI, hence pioneer this new field. We distill hidden signals from multimodal data, then use generative models to simulate complex scenarios and experiment with them to quantify cause-and-effect relationships.

Act confidently when you know Why and What-if


Discover hidden signals from integrated multimodal data

Real-world data come in different forms: images, texts, time series, and more, but finding "what" is relevant can be challenging. Vizuro's data staging and integration platform, DataFusion, specializes in integrating massive, high-dimension, mix-modal data for holistic modeling like humans do with multiple senses, so that key signals are not obliviated. Capability highlights:

  • Preprocessed external data sources to enrich your internal data asset

  • Cross-modal, synthetic data generation for model building without actual training sets

  • Site-to-site data transformation for federated learning while preserving privacies

Data Augmented

Ramp-Up Speed

Training Set Needed



Explainable Models

Data Shift Robustness 

What-Ifs Exploration

Build generative, causal models that ponder what-ifs and explain why

Blackbox models are often biased and cannot be trusted. To answer the question of "why", our AI does causal discovery, by sifting through millions of hypothesis and A/B testing from data automatically. 

Decisions often beg the "what-if" questions, and this is where correlation-based predictive models fail. Vizuro's modeling tool, ModelCraft, is capable of envisioning - inferring impact of actions via generative AI, like Dr. Strange does in the multiverse. Capability highlights:

  • Causal graph generation from historical data

    • Key features identification​

    • Response curve assessment

    • Editable to incorporate prior knowledge

  • Scenario simulation from digital twins

    • "What-if" pondering​

    • Mission-specific content generation



Make mission-critical decisions with pivotal foresights and action roadmaps

Empowered by the causal intelligence from ModelCraft, you can answer the "how" questions with our highly configurable decision augmentation platform, ActionWorks. It contain suites of domain-specific apps that manifests the optimal course of actions with deployment roadmap based on infrastructure maturity, resource and budget, to deliver immediate impacts and max long-term ROI. Capability highlights:

  • Constrained, stochastic optimization to handle resource availability and changing dynamics

  • Mixture and priority of actions (e.g., marketing mix and omnichannel)

  • Cadence of actions (e.g, next best actions)

Deployable Actions


< 1 Year
Payback Period


Deployment Timeline

Want It? Go Live In Six Months

0.5 Month
Problem Definition

0.5 Month
Data Asset Audit

2 Months
Data Preparation

2 Months
Causal Modeling

1 Months

0.5 M
Goal & Gap Analysis

0.5 M
Data Asset Audit

2 M

2 M
Causal Modeling

1 M
Apps Deployment

bottom of page