Industrial AI
AI on the line — from defect to digital twin.
Yobitel deploys edge-and-cloud AI for discrete and process manufacturers — visual inspection, predictive maintenance, digital twins, supply-chain optimisation, OEE analytics. Hardened for OT networks under IEC 62443, deployable at the cell, the line, the plant, or the enterprise.
94%
Defect detection rate
−40%
Unplanned downtime
+12pp
OEE improvement
IEC 62443
OT-safe deployment
What's hard
The realities of manufacturing AI.
Honest about the constraints. AI in this sector isn't a wrapper on a hosted LLM. It has to land inside your boundary, respect your regulators, and earn the trust of the people on the front line.
OT and IT live in different worlds
PLCs, historians, and SCADA networks weren't built for cloud connectivity. AI has to land on the edge without opening the OT network to unbounded internet exposure.
Vision models drift with line conditions
Lighting changes, new SKUs, seasonal substrates — a defect model that hit 99% on day one degrades silently. You need continuous monitoring and shadow re-training.
Predictive maintenance needs context
A vibration spike means one thing on a new bearing, another on one that's been running for five years. Models need asset history, work-order data, and operator notes — not just sensor streams.
Supply chains are non-stationary
Geopolitical shocks, tariff regimes, raw-material spot-price spikes — classical forecasting falls behind. Foundation models on logistics data give a wider context window.
Where AI moves the needle
Six use cases customers ship today.
These aren't demos. Each pattern is in production for at least one customer in this sector. Click through to the underlying Yobitel app, or have us build the custom variant.
Visual defect inspection
High-speed line inspection — scratches, dents, weld defects, missing parts. Runs on the edge, calibrates per SKU, escalates to QA.
Predictive maintenance
Bearing wear, motor health, pump cavitation, conveyor anomalies. Fuses sensor streams with CMMS history and operator notes.
Digital twin engine
Live mirror of the line for what-if simulation — throughput, energy, changeover, bottleneck analysis. Plays back historical runs.
Supply-chain optimisation
Demand sensing, inbound logistics, multi-echelon inventory. Reasons over disruption events and re-plans the next 14 days.
OEE & quality analytics
Loss-tree decomposition across availability, performance, quality. Root-cause Q&A in plain English on the shop-floor dashboard.
Work-instruction copilot
Multilingual SOP search, video summarisation, safety-card recall, and changeover guidance — surfaced on a ruggedised tablet.
Featured apps
The Yobitel apps powering Manufacturing.
Pre-built, vertical-tuned, observable, and one-click-deployable on the Yobibyte platform. Each link is a deeper drill-in.
Livestock Monitor
Reference architecture for on-device visual inspection — the same stack that classifies cattle behaviour classifies surface defects.
Agentic RAG
Reason over CMMS history, OEM manuals, work orders, and the historian. Multi-agent root-cause on a tagged event.
LLM Fine-Tuning
Domain-tune on your maintenance logs, SOPs, and incident reports — the model speaks your plant's terminology.
Custom AI Build
Bespoke vision and time-series projects with embedded engineers — POC to production-grade in eight weeks per line.
Regulators & frameworks
Built for the audit, not after it.
Compliance isn't a wrapper on top. It's embedded in how we deploy, train, monitor, and prove decisions for manufacturing customers.
ISO 9001
Process documentation, traceability, and CAPA workflow integration. AI decisions captured as part of the quality record.
ISO 27001 / 27017
Information-security baseline for the IT plane, with cloud-controls extension for the inference and training tiers.
IEC 62443 (OT cyber)
Zone-and-conduit segmentation, edge-gateway hardening, unidirectional data flow from OT to IT. Patch and CVE management for inference nodes.
Industry 4.0 reference architecture (RAMI 4.0 / IIRA)
Asset Administration Shell mapping, OPC UA / MQTT Sparkplug B integration, semantic interoperability across vendors.
GxP (for regulated manufacturing)
21 CFR Part 11 e-signature and audit-trail support for pharma, medical-device, and food-grade lines. Validation packs available.
GDPR for workforce data
Lawful basis, DPIA, and works-council consultation pattern when the AI sees operator-attributable telemetry.
How we deploy
The Manufacturing deployment pattern.
The shape of every successful manufacturing engagement, refined across years of customer rollouts and grounded in the operational reality of the sector.
- 01
Land at the edge
Ruggedised inference node next to the line — Jetson, x86, or sovereign appliance. Survives cold-start and intermittent uplink.
- 02
Bridge OT to IT safely
Unidirectional data diode or DMZ broker — OPC UA, MQTT Sparkplug B, Kafka. OT network stays unreachable from the cloud.
- 03
Train on plant context
Fine-tune vision and time-series models on your line, your SKUs, your defect history. Shadow-train before promotion.
- 04
Close the loop with the operator
Inline reject signals, andon escalation, work-order auto-creation. Operator override teaches the model.
- 05
Roll up to the enterprise
OEE, scrap, downtime, and quality streams converge to the digital twin. Cross-plant benchmarking, fleet-learning, and SKU launch.
Outcomes, measured
The numbers customers put on the slide.
Quantified outcomes from production deployments. Each tied to a real customer, even when the logo is held back at their request.
94%
Defect detection rate
Tier-1 automotive supplier
−40%
Unplanned downtime
Continuous-process chemicals
+12pp
OEE on pilot line
Discrete electronics OEM
−28%
Inventory at risk
Aerospace MRO
Customer story
Tier-1 automotive supplier, EU
Replaced manual QA on a stamping line with 24/7 vision — escape rate dropped by 76% and the line ran six minutes longer per shift.
“Yobitel landed inference on the edge in three weeks. We never let the OT network touch the cloud, and we still got cross-plant learning.”
What we delivered
94%
Defect detection rate
−40%
Unplanned downtime
+12pp
OEE on pilot line
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ExploreReady to ship AI in manufacturing?
Book a working session with Yobitel engineers who've done it before in your sector. Walk away with a concrete deployment plan and an eight-week pilot scope.