ManufacturingConversational AI

ARUM Adds an LLM-Powered AI Character to Machining Centers Using Azure AI

ARUM· JapanAzure AI Search · Azure Speech · Azure OpenAI +3

Japanese manufacturing automation company ARUM developed TTMC Origin, a machining center operated through natural conversation with an LLM-powered AI character named KAYA, using Azure Speech, Azure OpenAI and Azure AI Search with GPT-5 running on an industrial PC. Users with no machining knowledge can perform high-precision operations by voice chat. Automating NC programming cuts the steps with CAM from 177 to 2, and since NC programming accounts for 50% of production cost per part, ARUM says automating it could cut production costs in half.

Overview

Japanese manufacturing automation company ARUM developed TTMC Origin, a machining center operated through natural conversation with an LLM-powered AI character named KAYA, using Azure Speech, Azure OpenAI and Azure AI Search with GPT-5 running on an industrial PC. Users with no machining knowledge can perform high-precision operations by voice chat. Automating NC programming cuts the steps with CAM from 177 to 2, and since NC programming accounts for 50% of production cost per part, ARUM says automating it could cut production costs in half.

This entry has 13 published fields tied to exact passages in an immutable source capture.

Inspect the highlighted source

The challenge

Japan has over 200,000 metalworking companies, but the number of skilled workers in the industry is dwindling drastically. ARUM had automated NC program generation and machining processes, but the many buttons on its tools still hindered effective use among inexperienced users.

The solution

ARUM developed TTMC Origin, a machining center operated through natural conversation with the LLM-powered AI character KAYA. An LLM (GPT-5) running on an industrial PC in the machining center controls KAYA, which integrates with Azure services: Azure Speech for voice communication, Azure OpenAI for summarizing and interpreting conversations, and Azure AI Search for database searches. Foundry Agent Service on the Microsoft Foundry platform provides a fallback generic AI in case the primary AI function does not perform as expected. KAYA also integrates with TTMC Brain, which, based on the conversation, automatically generates a program for the machining process and autonomously controls the machining center.

Conversational AIGenerative AI

Reported business value

TTMC Origin decreased NC programming steps with CAM from 177 to 2. Because NC programming accounts for 50% of the production cost per part, ARUM's General Manager says automating this stage could cut production costs in half. ARUM says reservations open in July 2026 with inquiries already flooding in, and it plans to release the solution overseas gradually from 2027.

Sources

Open any source and check the claim yourself — that is the point of the register.

This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

Related entries

Other manufacturing entries in the register.

All entries
ManufacturingMachine LearningPublic Cloud

ArcelorMittal Enhances Steel Production Through Digital Innovation

ArcelorMittal partnered with IBM Consulting and Infosys to modernize operations through AI, cloud technology and SAP S/4HANA migration. At ArcelorMittal Eisenhüttenstadt, machine learning was introduced to predict and prevent surface defects on automotive steel sheets. At the Hamburg wire rod plant, AI optimized the trimming process by analyzing historical production data to determine optimal cutting points, reducing trim scrap by 20% and contributing to energy savings and lower CO2 emissions. ArcelorMittal also deployed a bio-inspired Ant Colony Optimization algorithm to calculate optimal production schedules, reducing downtime and material waste. At AM/NS India, IBM Consulting used IBM Rapid Move for SAP S/4HANA to migrate data and applications from outdated platforms to a single SAP instance across locations in Dubai, Indonesia and India.

96/100HighPrimary source
ArcelorMittalMachine learning (defect prediction) · Ant Colony Optimization algorithm · SAP S/4HANA +1
ManufacturingComputer VisionUnknown

Michelin runs 200+ AI use cases across manufacturing, supply chain and innovation

French tire manufacturer Michelin has more than 200 AI use cases in production, led by group chief data and AI officer Ambica Rajagopal. Its in-house IRIS system, protected by over 20 patents, partially automates end-of-line visual tire defect inspection to improve inspector efficiency and workplace ergonomics while operators retain final accountability. Machine learning forecasting tools improve demand forecast accuracy and proactively detect stock shortages in the supply chain. Michelin scans the startup ecosystem and uses tools including Databricks and Dataiku, and has partnerships with Microsoft and Rockwell Automation to codevelop AI solutions. The company reports AI-project ROI exceeding €50 million per year, growing 30-40% annually for three consecutive years, governed by an internal data office and responsible-AI principles (people-centric, explainable, accountable).

92/100HighPrimary source
Michelin· FranceDatabricks · Dataiku
ManufacturingGenerative AIPublic Cloud

Schneider Electric fast-tracks innovation with Azure OpenAI Service

Schneider Electric bases customer-facing AI solutions on Azure OpenAI Service within Microsoft Cloud for Manufacturing. Its EcoStruxure Microgrid Advisor uses Azure OpenAI Service and Azure IoT for dynamic control of facility energy performance, EcoStruxure Resource Advisor Copilot helps customers manage energy usage, and the company is developing a PLC code generation copilot to automate programmable logic controller programming for manufacturing robots and IoT devices.

96/100HighPrimary source
Schneider Electric· FranceAzure OpenAI Service · Azure Machine Learning · Azure IoT +1
ManufacturingAgentic AIPublic Cloud

ABB Leads Shift to Autonomous Operations with Genix Industrial AI Platform on Azure

ABB built its Genix Industrial IoT and AI Suite on Microsoft Azure and Azure AI Foundry Agent Service, using a multi-agent architecture so AI agents can autonomously execute workflows across assets, operations, supply chain, energy, and emissions management. Genix Copilot lets shop-floor engineers scan a QR code on an analyzer to have AI agents pull real-time data and maintenance logs and suggest a fix, cutting troubleshooting time by 60-80%. Across ABB's customer base, Genix has improved reliability of critical assets by up to 20% and reduced unplanned downtime by up to 60%. Customer Birla Opus Paints used Genix to raise its "Right First Time" production rate from 40-45% to over 80% in its first year and cut root-cause analysis time from a week to an hour.

96/100HighPrimary source
ABB· SwitzerlandMicrosoft Azure · Azure AI Foundry Agent Service · ABB Genix Industrial IoT and AI Suite

Was this helpful?

Your feedback helps us improve our use case database