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Client Success Stories

Real deployments. Measurable outcomes. Proven in production across 9 industries and 6 continents.

Real deployments across plants, infrastructure and regulated operations.Each engagement starts with the operating constraint and ends with a production-ready capability.

OT · Battery Mfg

Battery Gigafactory Digital Transformation

Challenge

350 PLCs, 2 global plants, IEC 62443, zero downtime.

Solution

Zone-based SCADA HA, 1M tags, DC/DR, 24×7 AMC.

350 PLCsIEC 62443

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Edge AI · Predictive

Predictive Maintenance - Heavy Industrial

Challenge

Frequent crusher, bearing and hydraulic failures.

Solution

Nexa Edge + vibration, thermal, acoustic RUL.

↓34% Downtime

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Digital Twin · ESG

Digital Twins for Energy & ESG

Challenge

No real-time energy or carbon tracking.

Solution

3D Twin + Edge AI + Microsoft Sustainability Mgr.

↓18% EnergyESG Compliant

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IoT · Automotive OEM

IIoT Platform - Automotive OEM Vendor Network

Challenge

IIoT across 500+ suppliers, standardised KPIs.

Solution

OT assessments, edge acquisition, cloud IIoT.

500+ Suppliers↑OEE

Vision AI · 3PL

Vision AI Kitting Validation - Global 3PL

Challenge

Kitting errors causing SLA penalties at scale.

Solution

NVIDIA Jetson + cameras. <10ms on-device AI.

↑40% Accuracy£1.2M Saved

Edge AI · Pharma

GxP Cleanroom Edge AI - Global Pharma

Challenge

GxP cleanroom, 21 CFR Part 11, zero cloud.

Solution

Far-edge AI, vision + compliance, <5ms.

GxP Compliant<5ms

Smart Mobility · AU

State of Victoria Smart Mobility Platform

Challenge

Multi-modal transit, 24,000 devices, 20M cards.

Solution

End-to-end AFC smartcard, all transport modes.

24K Devices20M+ Cards

IoT · Aquaculture

Sea Aquaculture IoT - SE Asia

Challenge

Manual water checks missing DO drops and disease.

Solution

Continuous DO/pH/temp IoT, satellite, auto feeding.

↓28% MortalitySatellite IoT

Mining · Predictive

Copper Mine Predictive Maintenance

Challenge

Crusher and conveyor failures halting production.

Solution

Nexa Edge on crusher/conveyor fleet. RUL models.

↓34% DowntimeZero Shutdowns

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