cStructure
Causal inference platform for building causal diagrams, identifying bias, and estimating causal effects from complex data
The product is a causal inference and reasoning platform that helps users move from correlation to causation by building structural causal models, identifying biasing paths, and estimating causal effects through adjustment or randomization. It is for researchers, business leaders, policymakers, and research teams in data-intensive and safety-critical fields who need rigorous, transparent analyses. It is delivered as a low-code SaaS canvas with real-time collaboration, AI-assisted bias identification, and browser-based notebooks, offered across tiered plans including private cloud/on-premise hosting.
Key features
- Causal reasoning canvas with graph editor
- Bias identification and adjustment optimization
- Multi-action/outcome causal graphs
- Low-code Bayesian and Frequentist estimation
- Causal simulation and estimation
- Generative AI knowledge assistants
- Real-time collaboration and version control
- Granular access controls
- SQL + datatable/charts explorer
- JupyterLite browser-based notebooks
- SVG image export
- F.A.I.R. project data storage
- Private cloud/on-premise hosting
- Knowledge-graph integration
- Local and private LLM support
Social posts
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GTM channels
- API
ICP
- Data analytics teams
- Government public sector
- Healthcare providers