What comes with a deployment. Training and support are available to customers and evaluation partners.
Step-by-step guides for the common workflows: capturing knowledge, building the model of normal, running root-cause analysis and counterfactuals.
For deployment, data residency, validation, integration and licensing, ask the team directly for a specific answer, not a generic FAQ.
Role-based training for operators, engineers and data scientists so your team builds and validates causal models independently: no-code, low-code and high-code.
Platform overview and architecture, core capabilities, causal discovery and analysis, root-cause analysis, what-if simulation, the causal solution workbench, deployment and administration: 185 topics across 275 pages. Read the architecture and deployment guides on this site; enter your work email to download the complete documentation PDF.
Bring the engineer who knows the process. We will walk through the causal model behind it, and set up training, documentation and roadmap access.