Industries

Manufacturing & Smart Industrial

Secure, Resilient, And Built To Scale.

Manufacturing & Smart Industrial

AI for Manufacturing & Industrial | Smart Factory & IIoT

WTA builds generative AI and IIoT for plants, supply chains, and services, including predictive maintenance, visual quality, digital twins, and autonomous operations. These solutions are secure, resilient, and built to scale, integrating MES/SCADA, edge deployment, EHS safeguards, and ISA/IEC 62443-aligned security.

Manufacturing & Smart Industrial

Build Smarter, Resilient Factories

Our core focus areas are to boost OEE, reduce downtime, and improve safety—production‑ready and compliant.

Predictive Maintenance & Reliability
Predictive Maintenance & Reliability

Forecast failures from sensor and historian data, optimize spares, and schedule work through your CMMS to cut unplanned downtime.

Visual Quality & SPC
Visual Quality & SPC

Computer vision for defect detection and measurement with traceability; SPC alerts highlight drift and drive root-cause analysis.

Production Scheduling & OEE
Production Scheduling & OEE

Sequence and balance lines with real-world constraints; lift OEE with bottleneck analytics, changeover guidance, and downtime insights.

Supply Chain Planning & Inventory
Supply Chain Planning & Inventory

Demand sensing, MRP/DRP, and safety‑stock tuning reduce stockouts and carrying costs across plants, DCs, and suppliers.

Connected Worker & Safety (EHS)
Connected Worker & Safety (EHS)

Guided work, SOP copilots, and safety coaching with role-based access and digital work instructions—fewer errors, safer shifts.

Aftermarket & Field Service
Aftermarket & Field Service

Technician copilots, parts recommendations, and remote assist reduce MTTR and raise first-time‑fix for installed equipment.

Structured for Success

1

Discovery & Site Readiness

Define KPIs and constraints, inventory equipment, data sources, and safety requirements, and select target lines/assets for the pilot.

2

Design & Pilot

Document solution design and acceptance criteria; set guardrails, sampling plans, and success metrics; validate with representative telemetry.

3

Implementation & Integration

Deploy edge/cloud components, integrate MES/ERP/CMMS, configure identity and access controls, and enable operators and maintenance teams.

4

Stabilize & Scale

Monitor accuracy, reliability, and cost; tune latency and resource usage; establish runbooks/SLAs; expand by pattern across lines, plants, and regions.

Frequently Asked Questions
Where should we start?
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Begin with a short discovery to align goals, data sources, and constraints, then select a low‑risk pilot with clear KPIs.

Do we need to replace our existing systems?
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No. We integrate with what you have and add a thin‑slice solution first, then expand once value is proven.

How do you protect our data?
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We apply access controls, encryption, and audit logs. Your organization retains data ownership and approvals.

How do you ensure quality and safety?
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We use validation steps, human‑in‑the‑loop reviews, and change controls. Teams are trained before go‑live.

How quickly will we see results?
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Typically, within 90 days via a production pilot with agreed success metrics and dashboards.

Can this run on‑premises, at the edge, or in the cloud?
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Yes. We choose the best fit by latency, cost, and security needs; hybrid setups are common.

What outcomes do you usually target?
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Reduced downtime, higher throughput and quality, faster service resolution, and better visibility for decisions.

How do we scale after the pilot?
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We provide playbooks and templates to repeat the pattern across lines and sites, with training and support.