Act — From Explanation to Action
Knowing why something happens is powerful. Knowing how to make it better is transformative. Xpdeep's counterfactual 'How-To' engine identifies the precise changes — in data, parameters, or external conditions — that would improve a model's prediction or outcome, without breaking constraints or safety limits.
Ante-Hoc Explainability Powers Safe, Actionable AI
Xpdeep's ante-hoc architecture makes every action explainable and traceable.
By grounding decisions in the model's true internal reasoning — not post-hoc estimations — Xpdeep enables safe automation, human-in-the-loop control, and real-time operational intelligence.
No Post-Hoc. Ever.
Turn predictions into actions. Xpdeep triggers alerts, updates workflows, and recommends next steps using explanations generated natively inside the model. Continuous monitoring and policy enforcement keep your models performing—and compliant—in real time.
Rule-Based Triggers & Workflow Automation
Create rules that automatically trigger actions based on predictions, explanations, and confidence indicators. Integrate with existing workflows to automate decision-making safely and transparently.
Closed-Loop Feedback into Model Updates
Operational outcomes feed back into the model for continuous improvement. Xpdeep adjusts predictions dynamically while maintaining explainability, traceability, and auditability.
Continuous Monitoring & Compliance
Monitor model behavior in production with real-time alerts and explainability-driven diagnostics. Ensure ongoing compliance with automated auditing and policy enforcement.
Xpdeep closes the loop between prediction and execution by making AI actionable, controllable, and auditable. Every explanation generated by the model can be used to adjust system parameters, guide human decisions, or trigger autonomous responses — all with full transparency.
Through its counterfactual "How-To" engine, Xpdeep identifies the minimal, safe changes in data, parameters, or external conditions needed to reach a desired outcome. Actions can be human-approved, automated, or hybrid — ensuring safety and compliance in high-stakes environments.
This turns deep learning from a static inference tool into an adaptive decision engine — one that continuously improves while remaining within certifiable boundaries. Organizations integrate this capability into their operations via API, turning insights into measurable, real-time impact.
Learn more: Predict & Explain • XpAct • XpViz • Time-Series Explainability
ROI Impact: Savings ROI • Growth ROI
→ Act with confidence — every action is explainable, traceable, and auditable.
Key Capabilities
Counterfactual "How-To" analysis built into every model
Minimal, safe, and targeted adjustments to reach outcome goals
Real-time feedback on predicted KPI improvements
Compatibility with digital twins and control systems
Prescriptive, human-in-the-loop AI
Xpdeep transforms AI from a diagnostic tool into a decision engine — one that not only understands the world, but helps you improve it.