Confidence isn’t a feature—it's the architecture.
Our platforms ship with model explainability, data lineage, and EU-grade security built in.
Regulated engineering requires evidence, not promises.
Neodustria unifies physics-aware AI with verifiable provenance so every decision—design change, simulation outcome, or market alert—is explainable and auditable.
Global/local importances; sensitivity to inputs.
“What would change the decision?”
Confidence bands on Agentic AI predictions.
Human-readable explanations per run.
Scope, limits, Engineering & Operational Datasets, validation metrics.
Guardrails for compliance & safety.
Track sources, joins, transforms, and retention across your dataflows for full traceability and governance.
Every training/inference event is signed and linked to its inputs and parameters. We generate Model Cards and Audit Evidence Packs, you can attach to audits.
Manage runs, metrics and data artifacts, and comparisons to validate progress and pick the best candidates for production.
Approvals, overrides, and exceptions are captured with signatures for audit-ready decision provenance.
Create PDFs, Software Bills of Materials (SBOMs), and signed logs on demand for regulators, customers, or internal compliance reviews.
Encryption in transit/at rest, secret rotation, workload isolation.
SSO/SAML, RBAC/ABAC, least privilege, per-tenant keys.
Signed artifact pipeline, supply-chain checks, SIEM hooks.
Signed lineage, Model Cards, and test traces for external and internal audits.
Retention, data sharing, and approval flow blueprints.
SBOMs, dependency attestations, and signing pipelines.
EU data residency; enterprise documentation on request.