Marketing Information

ㆍCompany

RTM

ㆍRepresentative

Kisuk Sung

ㆍAddress

11, Yeoksam-ro 3-gil, Gangnam-gu, Seoul RTM, 10F, Gwangseong Bldg. Main Bldg.

ㆍTel.

02-2088-6780

ㆍEmployees

20~49

ㆍWebsite

www.rtm.ai/

ㆍE-mail

khc@rtm.ai

ㆍEstablished Year

2018

ㆍCompany Type

Development/Service

ㆍRelated Industry

ㆍMajor Customers

ㆍSNS

ㆍCompany Profile

RTM - Connecting Manufacturing Data, Completing Quality Founded in 2018, RTM delivers AI-powered quality diagnostics for advanced manufacturing?semiconductors, displays, batteries, and automotive components. We work with two critical data streams. Hubble is our AI vision solution that detects surface defects in real time, down to the micro-level. EHM (Equipment Health Monitoring) analyzes time-series equipment data to catch anomalies early and enable predictive maintenance. What sets RTM apart is integration. When defects occur, we trace back to the root cause?identifying the exact process or equipment responsible. We don't just find defects; we answer why they happen. Trusted by LG Energy Solution, Hyundai Mobis, Corning, Seoul Semiconductor, Kumho Tire, Daeduck Electronics, and more. Process expertise meets AI engineering. Field-proven in mass production. Built to fit your line. RTM. Where data meets quality.

Manufcaturer Information

ㆍManufacturer

RTM

ㆍIntroduction

RTM - Connecting Manufacturing Data, Completing Quality Founded in 2018, RTM delivers AI-powered quality diagnostics for advanced manufacturing?semiconductors, displays, batteries, and automotive components. We work with two critical data streams. Hubble is our AI vision solution that detects surface defects in real time, down to the micro-level. EHM (Equipment Health Monitoring) analyzes time-series equipment data to catch anomalies early and enable predictive maintenance. What sets RTM apart is integration. When defects occur, we trace back to the root cause?identifying the exact process or equipment responsible. We don't just find defects; we answer why they happen. Trusted by LG Energy Solution, Hyundai Mobis, Corning, Seoul Semiconductor, Kumho Tire, Daeduck Electronics, and more. Process expertise meets AI engineering. Field-proven in mass production. Built to fit your line. RTM. Where data meets quality.

ㆍCountry

Korea

ㆍTel

02-2088-6780

ㆍE-mail

sales@rtm.ai

ㆍWebsite

https://www.rtm.ai/

Exhibition Product

ㆍProduct

Hubble

ㆍModel

Hubble

ㆍManufacturing Company

RTM

ㆍProduct Code

Smart Factory Solution,Artificial Intelligence(A.I.),Measurement Software

ㆍDescription

Hubble is an AI vision-based defect detection solution. Using deep learning, Hubble identifies micro-level surface defects in real time?catching what rule-based inspection systems miss. It is deployed across high-precision manufacturing lines in semiconductors, displays, batteries, and automotive components, improving detection accuracy while reducing false positives. Hubble's strength is adaptability. It optimizes for real production conditions?lighting variations, product tolerances, and line speeds?and rapidly retrains when new defect types emerge. Proven in mass production at LG Energy Solution, Corning, Seoul Semiconductor, Kumho Tire, and other industry leaders. Detection is just the start. Integrated with RTM's EHM, Hubble traces defects back to their root cause?identifying the process or equipment responsible.

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ㆍVideo link

ㆍProduct

EHM

ㆍModel

EHM

ㆍManufacturing Company

RTM

ㆍProduct Code

Smart Factory Solution,Artificial Intelligence(A.I.),Production/Process Management System,Supervisory Control And Data Acquisition (SCADA)/Distributed Control System (DCS)

ㆍDescription

EHM is an AI-powered equipment health management solution that analyzes time-series data to detect anomalies early. It collects and processes sensor time-series data?vibration, temperature, pressure, current?in real time, precisely capturing subtle deviations from normal patterns as well as gradual drift over time. This enables predictive maintenance before failures occur, reducing unplanned downtime and associated losses. EHM's advantage is process context. Rather than simple threshold alarms, it delivers diagnostics that account for equipment state and process conditions together. Currently deployed in advanced manufacturing environments including the semiconductor industry, as well as various other manufacturing sectors. When integrated with RTM's Hubble, EHM traces surface defects back to equipment-level root causes?unifying quality and equipment management into a single workflow.

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ㆍVideo link