AxiSentinel extends continuous AI compliance evaluation to discrete and process manufacturers, from automotive suppliers, electronics and machinery builders to chemicals and metals producers: the AI that inspects the part, predicts the failure, tunes the process, steers the robot, watches the safety zone and schedules the line, evaluated against the product-safety, liability, cybersecurity, data and AI rules of every market a plant ships into.
Plants have run on models for years: the camera that passes or rejects a part, the model that predicts a bearing failure, the recommender that nudges a setpoint. Until recently none of it was regulated as AI. Between 2024 and 2027, product-safety law, liability law, cybersecurity law and the EU AI Act all arrive on the factory floor.
Machine-vision, MES, robot and maintenance vendors each report on their own tools. No one evaluates the whole plant stack, across every market the product ships into, with evidence a notified body, a court or an OEM customer would accept.
Industrial AI sits under product-safety law, liability law, cybersecurity law, data law and AI-specific law, in every market a plant ships into. AxiSentinel tracks every layer and builds RegDef packages the moment a rule is stable enough to evaluate against.
The first horizontal AI law, applying in phases to AI a manufacturer deploys toward its workforce and to AI built into the products it sells, as amended by the Digital Omnibus, Regulation (EU) 2026/1744.
Replaces the Machinery Directive from 20 Jan 2027 and is the first EU product-safety law written with machine learning in mind.
Transposition deadline 9 Dec 2026. Software, including AI systems, is now a product, and strict liability follows it.
Reporting duties apply since 11 Sep 2026 and the full regulation from 11 Dec 2027, covering connected machinery, controllers and industrial software.
Manufacturing of machinery, motor vehicles, electrical equipment, electronics and medical devices, and of chemicals, are listed sectors.
Two horizontal laws that reach connected and AI-enabled products.
The definitive period began on 1 Jan 2026 for imports of iron, steel, aluminium, cement, fertilisers, hydrogen and electricity.
The engineering standards notified bodies and courts measure industrial AI against.
OSHA has no robot-specific standard. Robot-system citations rest on the General Duty Clause, lockout/tagout and machine guarding, read against consensus standards.
The largest manufacturing economies in Asia are writing AI into law on their own terms.
General-purpose AI risk-management frameworks that already apply to every AI component in a plant, from the vision station to the scheduling engine.
From a single vision station to a multi-plant production network, AxiSentinel evaluates manufacturing AI against whichever rule actually applies, wherever the machine, the product and the data sit.
Nothing about AxiSentinel’s core architecture changes for manufacturing. What changes is which RegDef packages are switched on and what telemetry the agents capture, from a vision-inspection station to a robot controller.
Agents capture inspection, process-control, MES, robot-controller and maintenance-system telemetry on the cadence you configure, Always On or scheduled, never limited to a periodic audit cycle.
Every inspection call, setpoint change and safety-relevant event evaluated against whichever product-safety, cybersecurity, liability or AI rule set actually applies, per event.
Every audit record is linked to the one before it in a signed, tamper-evident evidence chain, the kind of record a manufacturer needs to show what its AI decided, and on which model version.
Captures the safety-related decision data and safety-software version history the Machinery Regulation requires for machine-learning safety functions.
Ongoing evaluation of defect-detection and failure-prediction models for drift across lines, shifts, materials and product variants.
Links anomaly detections to Cyber Resilience Act and NIS2 reporting deadlines, so a manufacturer can show when it knew and when it reported.
Keeps model versions, training-data lineage and validation results in the form a court can order disclosed under the revised Product Liability Directive.
A compliance-state change on one line, plant or product family propagates network-wide as it happens.
AXI-Node agents deploy alongside cloud MES and analytics platforms, on-premises plant systems and in-region environments, or fully air-gapped through the .axibatch format for isolated OT networks.
Nothing becomes a compliance finding until a qualified AxiLayer AI auditor reviews and signs it, not for an inspection model and not for a robot safety function.
Traces supplier and emissions data from source to CBAM declaration and sustainability report, generated and stored in the region where each plant operates.
The same architecture monitoring a bank’s credit model or a hospital’s diagnostic AI now monitors a vision-inspection model or a collaborative robot cell. What changes is which RegDef packages are switched on.
Manufacturing runs on AI decisions made millions of times a day, and the product, liability and cybersecurity rules governing them land within the same three years. AxiSentinel’s architecture already does this for software AI; manufacturing is a new RegDef surface on the same platform, not a new product.
Whether it’s a single inspection cell or a global production network, AxiSentinel evaluates it the same way it evaluates any AI system: on the cadence you configure, Always On or scheduled, with full evidence, and with a human signature before anything counts as a finding.
