Relioryx AI unifies machine telemetry, engineering drawings, inventory, and production feeds into a single live operational context. Multi-model AI agents automate RFQ parsing and calculate capacity-aware quotes while forecasting material shortages before lines stall. Advanced predictive analytics monitor vibration and thermal anomalies to predict equipment failures up to 72 hours in advance and auto-schedule technician repairs.
Relioryx AI connects the full manufacturing cycle — from document intake and quoting to inventory, production, maintenance, quality, and customer support. Every agent works from the same live factory context, helping teams spot risks early, optimize operations, and act before delays or downtime affect delivery.
Manufacturing moves differently across every facility — with specialized production lines, heavy mobile equipment fleets, live sensor telemetry, and critical maintenance cycles. The Nestack manufacturing suite is purpose-built to give your teams shared, real-time operational intelligence.
Relioryx connects machine health, orders, inventory, documents, production and quality data so every AI agent works from the same live factory context.
When conditions change, the right workflows update automatically — from production and maintenance to technician actions and customer impact.
Relioryx ingests documents from ERP/MES, email, and watched folders. AI extracts key order details and flags uncertain fields for human review before quoting or production.
Relioryx converts part, material, and delivery specs into manufacturing quotes. AI evaluates cycle times, material costs, and inventory to ensure fast, consistent pricing.
Relioryx compares stock levels, demand, and lead times to highlight shortage risks. AI recommends reorder quantities before stockouts disrupt active production lines.
Relioryx compares active job sequences with AI-recommended plans. It highlights work reassignments, estimates operational impact, and keeps changes under planner review.
Relioryx converts predicted asset risks into weekly maintenance schedules. AI balances technician availability, job priority, and line timing to maximize uptime.
Relioryx analyzes machine telemetry across production lines to detect abnormal behavior, estimate time to failure, and explain the signals driving each prediction. AI highlights high-risk assets and recommended maintenance actions before downtime occurs.
Relioryx unifies machine telemetry, sensor history, and technician logs in one workspace. The AI Assistant identifies root causes and guides technicians through repairs.
Relioryx consolidates inspection images, defect types, and severity confidence. AI highlights anomalies so quality teams can approve findings, re-inspect, or issue an NCR.
Relioryx links customer tickets directly to live shop floor, order, and shipping status. AI prepares context-aware response drafts while keeping communications under approval.
Relioryx ingests documents from ERP/MES, email, and watched folders. AI extracts key order details and flags uncertain fields for human review before quoting or production.
Relioryx converts part, material, and delivery specs into manufacturing quotes. AI evaluates cycle times, material costs, and inventory to ensure fast, consistent pricing.
Relioryx compares stock levels, demand, and lead times to highlight shortage risks. AI recommends reorder quantities before stockouts disrupt active production lines.
Relioryx compares active job sequences with AI-recommended plans. It highlights work reassignments, estimates operational impact, and keeps changes under planner review.
Relioryx converts predicted asset risks into weekly maintenance schedules. AI balances technician availability, job priority, and line timing to maximize uptime.
Relioryx analyzes machine telemetry across production lines to detect abnormal behavior, estimate time to failure, and explain the signals driving each prediction. AI highlights high-risk assets and recommended maintenance actions before downtime occurs.
Relioryx unifies machine telemetry, sensor history, and technician logs in one workspace. The AI Assistant identifies root causes and guides technicians through repairs.
Relioryx consolidates inspection images, defect types, and severity confidence. AI highlights anomalies so quality teams can approve findings, re-inspect, or issue an NCR.
Relioryx links customer tickets directly to live shop floor, order, and shipping status. AI prepares context-aware response drafts while keeping communications under approval.
Relioryx AI routes each maintenance workflow step to the model family that fits — anomaly scoring, long reads, structured extraction, or a specialist fine-tune — not whichever model shipped inside your last software purchase.
One model, one pass, and no step you can point somewhere else.
PLC tags, vibration sensors, thermal logs, and optical vision streams land on the correct CNC, lathe, pump, or production line segment.
Signal drift, thermal rise, and spindle RMS vibration are ranked across line stations without choking on telemetry volume.
Related alarms, maintenance history, spindle speed, and batch quality exposure are reasoned through before escalating.
Whole-factory telemetry context informs which predicted machine failure matters most to delivery deadlines.
Structured extraction turns ranked machine risk into work orders, technician skills, replacement parts, and downtime slots.
Field inspection notes, ISO/AS9100 audit logs, and repair close-out proof are attached to the permanent asset record.
Note: Model names and marks belong to their respective owners. No endorsement or partnership implied.
Supported routing is configured during onboarding.
Relioryx AI is designed around the asset-management, condition- monitoring and quality standards that govern shared production lines — here is what it supports out of the box, on every station under watch.
Aligns predictive-maintenance decisions to a formal asset-management system, so alerts and service actions map to lifecycle risk and value.
Runs the monitoring programme the way the guidelines lay it out — tracked parameters, alarm criteria, failure-mode diagnosis and a prognosis with recommended actions — so every alert traces to a named failure mode, not a bare threshold.
Produces what the standard's prognosis process calls for — a time-to-failure estimate, its confidence, and the signals driving it — so remaining-life predictions are explainable rather than a black-box score.
Feeds AI quality-inspection results and maintenance records into your QMS, keeping OEM audit trails intact across shared production lines.
Note: Relioryx AI structures and records the monitoring, maintenance and quality evidence these standards call for, so nothing is missed on the line. It does not certify compliance, audit your management system, or replace assessment by an accredited certification body.
Most of what the platform reads still starts on physical assets, sensors, or shop-floor paperwork. These are standard, off-the-shelf peripherals and industrial sensors from third-party manufacturers — not proprietary or own-branded hardware. We enrol them against your workspace so each one streams into the module that already handles its output.
Network scanning station for RFQs, purchase orders, drawings and travelers. Scan-to-folder or scan-to-email drops searchable PDFs into a watched folder, where key order fields are extracted and uncertain values flagged for review before quoting or release.
DIN-rail gateway that reads PLC and CNC controllers over their native protocols or Modbus and republishes machine state, spindle speed, part counts and alarms as OPC-UA or MQTT — the live load and health signal production planning runs on.
Mount directly onto CNC spindles, motor housings, or pump bearings. Wired to a vibration monitor or wireless node that streams 3-axis vibration RMS, spectral FFT bands, and micro-shocks over Modbus TCP, OPC-UA or MQTT for 72-hour failure forecasting.
Mounts facing electrical panels, motor housings or spindle heads. Publishes a radiometric temperature grid and hotspot alarms over Modbus TCP or MQTT, so rising thermal deltas feed the same failure-risk model as vibration and current.
Relioryx AI is priced for the platform, not the person. Every module ships in the same plan, so a reliability engineer, a shift lead and a quality reviewer can all work in it without per-seat maths or a tier chart to decode.
Talk to us about your shop’s stations, product families and data sources and we’ll walk through what the rollout looks like.
Full access to all nine modules — predictive alerts, analytics, scheduler, AI quality inspection, maintenance assistant, OEM quoting, support agents, document intelligence and inventory forecasting.
AI API usage is charged separately. Clients must recharge their AI credit balance based on their usage.
A one-time setup that brings Relioryx AI live before your first billing cycle — we connect your sensor, PLC and CMMS feeds, backfill asset and work-order history, and tune the models to your lines. The “+” marks a starting point; final scope follows discovery.
Everything in Essential, plus:
Everything in Plus, plus:
Same subscription either way — onboarding may vary by requirements.
From live vibration and thermal thresholds through correlated cases, tool sync, crew dispatch, and closed compliance records — one industry playbook end to end.
Not chatbots bolted onto a dashboard. Agents built around shop floor workflows, documented APIs, and operational handoffs — with production guardrails from day one.
Manufacturing agents are catalogued on nestackagents.com. Tool names and marks belong to their respective owners.
Relioryx AI connects to the monitoring, inventory, ticketing, and field-service systems your factory already runs — through public, documented APIs — so data moves through intake, prediction, dispatch, and close-out without re-keying. 17 integrations across 6 workflow groups.
Note: Tool names and marks belong to their respective owners. No endorsement or partnership implied.
What Relioryx AI predicts, the signals it reads, how confident each alert is, and where the work goes once an asset is flagged.
See the platformRelioryx AI connects the manufacturing job from intake to delivery. It turns RFQs, POs, drawings and BOMs into structured data, helps build quotes, forecasts material shortages, optimizes production, plans maintenance, monitors machine health, supports technician investigations, reviews quality findings and gives customer teams the factory context behind delivery or quality issues.
Relioryx combines three types of factory data: machine signals such as vibration, motor current, spindle RMS, temperature and cycle variance; operational data from ERP, MES, CMMS and inventory systems; and manufacturing documents such as RFQs, POs, drawings, BOMs, specifications and technician feedback. Each module uses the same connected factory context instead of working from isolated data.
It compares current stock, allocated material and incoming purchase orders against projected production demand. BOM requirements, active orders, supplier lead times and expected consumption are used to calculate when available material falls below what upcoming jobs require. Relioryx then surfaces the projected shortage date, supply gap and recommended reorder quantity before the shortage reaches production.
The production plan considers job priority, machine availability, material readiness, changeover time, maintenance windows and machine-health risk. If a machine becomes a risk to the schedule, Relioryx can recommend a different sequence or machine assignment, show the expected effect on throughput and delivery, and send the revised plan for planner approval before execution.
The machine is ranked by health, anomaly score, confidence and estimated time-to-failure. That risk can feed Maintenance Scheduling to find a suitable service window and Maintenance AI Assistant to guide the technician through the investigation. Sensor evidence, work-order history, proposed checks and the final maintenance decision stay attached to the same issue across shifts.
Not for critical factory actions. Relioryx can automatically extract documents, detect anomalies, build forecasts and rank recommendations, but production changes, maintenance decisions, purchasing actions, quality dispositions and customer commitments can remain human-controlled. The AI explains what it recommends and why, while the responsible operator, planner or reviewer approves, modifies or rejects the action.
No. Relioryx is designed to connect with the systems already running the factory. ERP, MES, CMMS, inventory platforms and machine-data sources can continue as the systems of record while Relioryx brings their information into a shared operational context. Manufacturers can start with files or read-only connections and add real-time integrations or controlled writeback later.
Quality inspection uses part images, inspection requirements and production context to identify potential defects and present the finding with severity, confidence and model rationale. Reviewers can accept the finding, reject it or create an NCR, while the result can also feed maintenance investigations and customer-support cases when a quality issue has wider production or delivery impact.
Customer Support Agents work from production, maintenance and quality context instead of responding from a disconnected ticket. When a customer asks about a delivery, inspection or quality issue, Relioryx can gather the relevant factory records, prepare a response draft and keep it behind the required approval step before anything is sent to the customer.
Book a demo and choose the workflows most relevant to your operation — from document intake and quoting through inventory, production, maintenance, quality and customer support. We can walk through those workflows using the types of machines, jobs and manufacturing data your team actually works with. Start here.
Grab a time, tell us who you are, then pick the screens you want to see. We point Relioryx AI at your stations, sensor history and open work orders, then walk the alerts it raises and what it schedules next.
A focused walk-through of Relioryx AI on the OEM stations and failure modes you care about — the alert board and triage queue, the scheduler, and the hand-off into your CMMS or MES.
