Forgeqor AI connects estimating, engineering, material planning, fabrication, welding, quality, and release audit under one live operational context. Quote accurately, protect material yield, keep production flowing, control weld quality, and ship with complete evidence.
Forgeqor 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.
Forgeqor AI 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.
Ingests multi-page PDF fabrication drawings, STEP/DXF geometry, cut lists, and customer specifications. AI anchors extracted material grades, plate thicknesses, weld length, and inspection notes directly to source drawing regions.
Operational matrix structures cost across Material → Cut → Form → Machine → Fit → Weld → Finish → Inspect. AI evaluates machine speeds, supplier steel rates, weld deposition, and historical actuals to predict pricing and margin.
Interactive Studio features visual and semantic drawing comparison (Rev 03 ↔ Rev 04). AI detects thickness changes, shifted hole patterns, and weld size alterations, instantly surfacing affected parts, released work orders, and nests.
Visual stock workspace manages full plates, structural sections, and remnants. Tracks Heat → Raw Stock → Cut Part → Assembly hierarchy, enforcing material utilization percentage, true scrap calculation, and MTR mill test certificate matching.
Production board and timeline control job flow (Ready → Cutting → Forming → Fit-up → Finishing). Scheduling Optimizer continuously ingests machine health risk, automatically proposing job reassignments before downtime interrupts delivery.
Interactive assembly weld map workspace. Click joint W-018 to inspect joint type, welding process, filler metal batch, preheat requirements, and qualified operator status against AWS D1.1, ASME Section IX, and ISO 3834 governing codes.
Inspection canvas combines dimensional checks, NDT (VT/PT/MT/UT/RT) evidence, and Automated Visual Quality Inspection. Defect intelligence clusters NCRs by welder, machine, consumable lot, and WPS to expose systemic root causes.
Evidence pipeline audits job completeness before shipment. Verifies Material MTRs, Weld Records, NDT Reports, Coating Certificates, and NCR Closures. Blocks dispatch automatically until all required evidence is attached to the Digital Fabrication Traveler.
Ingests multi-page PDF fabrication drawings, STEP/DXF geometry, cut lists, and customer specifications. AI anchors extracted material grades, plate thicknesses, weld length, and inspection notes directly to source drawing regions.
Operational matrix structures cost across Material → Cut → Form → Machine → Fit → Weld → Finish → Inspect. AI evaluates machine speeds, supplier steel rates, weld deposition, and historical actuals to predict pricing and margin.
Interactive Studio features visual and semantic drawing comparison (Rev 03 ↔ Rev 04). AI detects thickness changes, shifted hole patterns, and weld size alterations, instantly surfacing affected parts, released work orders, and nests.
Visual stock workspace manages full plates, structural sections, and remnants. Tracks Heat → Raw Stock → Cut Part → Assembly hierarchy, enforcing material utilization percentage, true scrap calculation, and MTR mill test certificate matching.
Production board and timeline control job flow (Ready → Cutting → Forming → Fit-up → Finishing). Scheduling Optimizer continuously ingests machine health risk, automatically proposing job reassignments before downtime interrupts delivery.
Interactive assembly weld map workspace. Click joint W-018 to inspect joint type, welding process, filler metal batch, preheat requirements, and qualified operator status against AWS D1.1, ASME Section IX, and ISO 3834 governing codes.
Inspection canvas combines dimensional checks, NDT (VT/PT/MT/UT/RT) evidence, and Automated Visual Quality Inspection. Defect intelligence clusters NCRs by welder, machine, consumable lot, and WPS to expose systemic root causes.
Evidence pipeline audits job completeness before shipment. Verifies Material MTRs, Weld Records, NDT Reports, Coating Certificates, and NCR Closures. Blocks dispatch automatically until all required evidence is attached to the Digital Fabrication Traveler.
Forgeqor 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.
Ingests multi-page PDF fabrication drawings, STEP files, and specifications. AI extracts material grades, thicknesses, weld symbols, tolerances, and NDT requirements.
Evaluates cutting feed rates, bend setups, weld deposition hours, and material yield loss to price quotes accurately against actual shop-floor standards.
Visual and semantic comparison of Rev 04 vs Rev 05 detects plate thickness changes, hole shifts, and fillet weld size alterations across released work orders.
Allocates stock plates and reusable remnants, maintaining the Heat → Plate → Part → Assembly traceability chain required for certified fabrication.
Balances cutting, forming, and welding cell loads, embedding machine health alerts (e.g. Laser L-07 downtime risk) directly into production re-scheduling.
Audits MTRs, WPS references, welder qualifications, NDT reports, and NCR closures before granting dispatch clearance for shipment.
Note: Model names and marks belong to their respective owners. No endorsement or partnership implied.
Supported routing is configured during onboarding.
Forgeqor 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.
Validates procedure qualification records (PQR), welding procedure specifications (WPS), and welder performance qualifications (WPQ) against code-required essential variables.
Establishes workshop and field fusion welding quality controls, linking welding coordinator assignments, consumable batch control, and joint inspection to job records.
Defines quality levels B, C, and D for weld imperfection evaluation, feeding automated visual inspection scoring directly into nonconformance workflows.
Governs selection and application of non-destructive testing (VT, PT, MT, UT, RT) based on material, thickness, welding process, and acceptance criteria.
Covers structural steel fabrication quality management from contract receipt through detailing, material receipt, cutting, fit-up, welding, coating, and final delivery.
Enforces prequalified joint geometry, filler metal compatibility, preheat/interpass temperature limits, and structural welder qualification matching.
Tracks workplace safety compliance, fire prevention controls, ventilation requirements, and hot-work safety records across fabrication bays.
Feeds material heat traceability, NCR root-cause analysis, calibration logs, and final inspection dossiers directly into your QMS audit trail.
Note: Forgeqor 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 multi-page fabrication drawings, RFQ specs, POs, and mill test reports. Scan-to-folder drops PDFs into Forgeqor AI, extracting material grades, plate thicknesses, and weld notes directly into RFQ Intake.
DIN-rail gateway reading fiber laser, plasma, and press brake CNC controllers over OPC-UA, Modbus TCP, or MQTT. Stream live laser-on hours, cut speeds, spindle load, and fault codes into Production Scheduling.
Mounts on laser heads, plasma torch-height positioners, drill spindles, or pump drives. Streams 3-axis RMS vibration and spectral FFT bands, feeding equipment downtime risk directly into the Production Scheduling Optimizer.
Mounts facing heavy weld joints, preheat stations, or main electrical enclosures. Publishes radiometric surface temperature grids and interpass thermal deltas to enforce WPS preheat compliance and prevent electrical failures.
Forgeqor 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.
Note: AI API usage is charged separately. Clients must recharge their AI credit balance based on their usage.
A one-time setup that brings Forgeqor 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.
Forgeqor 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 Forgeqor AI predicts, the signals it reads, how confident each alert is, and where the work goes once an asset is flagged.
See the platformForgeqor 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.
Forgeqor 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. Forgeqor 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, Forgeqor 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. Forgeqor 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. Forgeqor 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 Forgeqor 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, Forgeqor 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.
