Local AI processing for real-time industrial decisions

The client lacked real-time visibility across its global supply chain, resulting in delays in planning and inefficient operations.

TEKNIKOZ deployed Edge AI across the client's manufacturing, warehousing, and distribution units, enabling predictive planning and improved coordination.

Faster deliveries, reduced planning cycle time, and enhanced responsiveness.

The client faced frequent unplanned equipment downtime and high maintenance costs due to reactive servicing.

TEKNIKOZ collected data from device software and a TEKNIKOZ IoT array installed across devices, smart cameras, and audio sensors for predictive maintenance and coordination of maintenance and field-service activities.

Lower downtime, reduced costs, and improved asset reliability.

Operators were unable to access equipment data and manuals in real time, affecting decision-making during critical operations.

TEKNIKOZ deployed TOMONI Voice, an Edge AI-powered voice assistant that delivers real-time, hands-free access to operational data.

Improved safety, quicker decisions, and enhanced operator efficiency.

Manual kitting errors caused delays and increased rework in warehouse operations.

TEKNIKOZ used Edge AI-powered computer vision to monitor and validate kitting processes in real time.

Increased accuracy, faster processing, and higher customer satisfaction.

The client had disconnected factory environments and lacked visibility into operations.

TEKNIKOZ assessed OT infrastructure, established machine connectivity, and deployed an AWS-based IoT platform.

Improved productivity, digital transformation acceleration, and better supply chain quality.

DTE required a realistic and immersive training environment for service workers at height.

TEKNIKOZ partnered with DTE to deploy HTC Vive and Unity 3D VR training modules.

Delivered experiential learning that improved safety awareness and preparedness.

The client needed real-time AI processing in highly regulated, low-latency cleanroom environments.

TEKNIKOZ deployed edge AI with computer vision inference at far-edge compute nodes.

Reduced cost and latency while ensuring compliant, real-time decisions.

The client required an efficient way to monitor data center thermal conditions without overhauling infrastructure.

TEKNIKOZ used edge-enabled lightweight sensors for real-time monitoring of hot/cold aisle temperatures.

Enabled cost-effective, remote environmental oversight without a full BMS upgrade.

The client struggled to track energy usage and align emissions data with sustainability goals.

TEKNIKOZ implemented a 3D Digital Twin with Edge AI and integrated it with Microsoft Sustainability Manager to monitor energy flow and emissions in real time.

Energy savings, accurate carbon tracking, and streamlined ESG compliance.

Inefficient use of office space and energy resources due to lack of real-time occupancy data.

TEKNIKOZ deployed Edge AI-based occupancy sensors to optimize space usage, HVAC operations, and cleaning schedules.

Reduced operational costs and better space efficiency.

The public transport authority needed an integrated solution for managing mass transit across modes.

TEKNIKOZ provided smart card integration across 24,000 devices and 20M cards for unified travel access.

Streamlined fare collection and enhanced user experience.

The client wanted to deliver enhanced, real-time fan engagement across international events like the British Open Golf, Tour de France, and NTTD IndyCar Series.

TEKNIKOZ deployed edge platforms to process real-time event data, including race telemetry and digital twin visualizations, enhancing operational visibility and fan interaction.

This enabled immersive fan experiences and allowed event organizers to respond instantly to audience behavior and needs.

The client lacked insight into social ad performance and user engagement patterns.

TEKNIKOZ implemented NLP-based analytics to assess engagement prediction, clustering, and content scoring.

Enhanced ad spend efficiency and improved targeted messaging.

The telecom client faced challenges in RF performance and threat detection across residential sites.

TEKNIKOZ deployed SPEKTRA Edge AI for real-time RF monitoring and threat detection across 100+ sites.

Improved network reliability and reduced response time to anomalies.

The client needed to reduce inefficiencies in vehicle handling within production lines.

TEKNIKOZ deployed an autonomous valet system that piloted cars in and out of the yard.

Saved millions in operational cost and improved throughput.

The client wanted to create an engaging, futuristic in-vehicle user experience for next-gen vehicles.

TEKNIKOZ developed a VR-based experience using Oculus Rift and Unity for immersive interaction.

Enhanced customer experience through haptics, force feedback, and virtual navigation.

Operators had limited access to real-time data during high-pressure operations.

TEKNIKOZ deployed TOMONI Voice, an Edge AI-powered voice assistant that delivers real-time, hands-free access to operational data.

Improved safety, quicker decisions, and enhanced operator efficiency.