Top 50 Ai For Manufacturing in Asia

Profet AI provides a no-code AutoML platform that enables manufacturing companies to implement AI solutions quickly, allowing domain experts to leverage machine learning without requiring extensive technical knowledge. The platform addresses the challenge of knowledge transfer from experienced workers by facilitating rapid deployment of AI applications across various operational areas, enhancing decision-making and efficiency.

The startup offers an AI-powered visual inspection platform that automates quality control processes in manufacturing. By utilizing machine learning algorithms, the platform enables manufacturers to significantly lower inspection costs and enhance defect detection rates.

The startup operates an AI-enabled sourcing platform that streamlines procurement processes for the manufacturing sector, specifically targeting the automotive industry. By simplifying the identification of cost-reduction opportunities and providing a centralized supply solution for precision components, the platform enhances operational efficiency for auto manufacturers.

The startup offers a no-code machine learning platform that provides on-site and off-site analytics services for manufacturing operations. This technology enables manufacturing managers to optimize plant efficiency, reduce operational costs, and enhance productivity.

The startup develops a cloud-based operational management platform that utilizes artificial intelligence and machine learning to provide predictive insights and dynamic workflows. This technology enhances safety and efficiency in industrial environments, specifically in manufacturing, mining, and petrochemicals, by optimizing asset performance and managing operational risks.

Inspekto provides an AI-based visual inspection system that enables manufacturers to implement quality control without requiring expertise in machine vision or artificial intelligence. The solution is designed for rapid deployment and scalability, ensuring seamless integration with existing automation systems to enhance production efficiency and reduce defects.

Groyyo is a B2B manufacturing and automation startup that utilizes advanced robotics and IoT technology to enhance production efficiency and reduce operational costs for manufacturers. The platform addresses inefficiencies in supply chain management by providing real-time data analytics and automation solutions, enabling businesses to optimize their manufacturing processes.

The startup develops a defect analytics platform for image-based industrial applications, utilizing deep learning, computer vision, and IoT analytics to detect and predict defects. This self-learning solution enhances defect classification accuracy, reducing misclassifications and improving manufacturing quality control.

MetAI generates high-fidelity digital twins and synthetic data to accelerate AI development and validation for industrial applications. Their platform leverages NVIDIA Omniverse and proprietary generative models to rapidly create SimReady environments, enabling faster AI training and simulation.

MakinaRocks offers a machine learning operations (MLOps) platform tailored for industrial applications, enabling organizations to build and deploy customized large language models (LLMs) that enhance operational efficiency. The platform addresses the challenge of integrating AI into complex industrial workflows by providing automated tools for data management, model training, and deployment monitoring.

Eureka Robotics develops software and systems that automate precision manufacturing tasks requiring high accuracy and agility, utilizing their Eureka Controller to integrate robotic arms, cameras, and sensors. Their technology enhances quality control and operational efficiency across industries such as electronics, automotive, and aerospace by achieving near-perfect detection rates in inspections.

The startup offers an AI-powered platform that diagnoses performance inconsistencies in process manufacturing and provides real-time insights and predictive diagnostics. This technology enables operators to enhance throughput, minimize energy consumption, and improve product quality while reducing operational costs.

This robotics company develops autonomous mobile robots integrated with artificial intelligence to enhance industrial process efficiency. By optimizing workflows, their technology enables industries to significantly lower operational costs and improve productivity.

Maximl offers an Industrial AI Platform that digitizes workflows and standardizes operational processes to enhance safety, compliance, and asset reliability in manufacturing environments. By providing real-time data visibility and communication tools, the platform enables frontline workers to improve productivity and reduce equipment failures.

minds.ai's DeepSim platform utilizes supervised learning, reinforcement learning, and generative AI to optimize semiconductor manufacturing processes and enhance operational efficiency across all fabrication facilities. By automating software generation for hardware control and process design, it improves key performance indicators without disrupting existing workflows.

SmartViz offers AI-powered modules for automated visual inspection that detect defects such as assembly errors and surface imperfections, enhancing production efficiency. The hardware-agnostic software integrates with existing industrial cameras, enabling rapid implementation and immediate value from day one.

Factorem is an AI-powered cloud platform that connects businesses with a network of over 150 vetted manufacturers across Southeast Asia, enabling the rapid production of custom parts without minimum order quantities. By providing instant quotes and streamlined logistics, Factorem addresses the challenges of long lead times and complex supply chains, delivering high-quality components within 10 days.

The startup offers a deep-tech platform that integrates artificial intelligence and advanced analytics to enhance operational efficiency in financial and manufacturing sectors. By functioning as a knowledge hub, it enables companies to implement data-driven changes, improving decision-making and productivity.

The startup offers an end-to-end industrial automation platform that utilizes advanced control systems to manage multiple production operations with minimal human intervention. This technology enables manufacturers to significantly reduce downtime and enhance productivity through tailored digitization solutions.

Ineeji provides AI prediction services utilizing machine learning technology to optimize industrial processes, enhancing product quality and reducing production costs. Their solutions enable manufacturers to achieve significant improvements in operational efficiency, even with limited data availability.

This startup provides an AI-powered production tracking system that uses large language models to offer real-time insights into manufacturing workflows. It operates without requiring new infrastructure, helping businesses optimize efficiency and gain immediate visibility into their operations.

The startup develops AI-based design software that generates domain-specific three-dimensional synthetic data for engineering and industrial design applications. This technology enhances design creation, evaluation, and optimization processes, enabling clients to improve performance across sectors such as manufacturing, architecture, and medicine.

The startup specializes in machine learning and computer vision technologies to automate industrial production processes, enabling manufacturers to achieve their digitization and AI transformation goals. By enhancing operational efficiency, the company addresses the challenges of social mobility and economic resiliency in the manufacturing sector.

Manufapp is a cloud-based AI application that utilizes computer vision and machine learning algorithms to monitor machine utilization, cycle time, and shift productivity in real time. By integrating production planning, execution, quality, maintenance, and inventory data, it enhances operational efficiency and increases machine utilization for manufacturers.

AIsing develops embedded edge AI solutions for predictive maintenance and vibration suppression in industrial machinery, utilizing proprietary algorithms that operate without cloud dependency. Their technology enables real-time monitoring and forecasting of equipment failures, significantly reducing downtime and maintenance costs for manufacturers.

The startup provides an AI-powered visual inspection automation platform that employs machine learning algorithms to analyze manufacturing images for defect detection. This technology significantly reduces inspection time and enhances accuracy, leading to fewer production errors and improved product quality.

The startup provides a production planning automation platform for manufacturers, enabling real-time tracking and optimization of their operations. This technology enhances operational efficiency and sustainability by minimizing waste and improving resource allocation.

Dataguess provides AI-powered quality control and anomaly detection solutions for industrial applications. Their platform offers tools for data management, machine learning model training, and no-code/low-code development, enabling businesses to improve efficiency and accuracy in manufacturing processes.

Digileaf develops AI-driven industrial robotics, specifically the Adhera-RGen, which utilizes machine learning algorithms to adapt and optimize manufacturing processes. This technology enhances production efficiency by reducing downtime and minimizing errors in automated tasks.

Saige Research develops AI-driven machine vision solutions for industrial inspection and quality control, utilizing deep learning algorithms to automate defect detection and real-time process monitoring. Their technology enhances product quality and workplace safety by identifying anomalies and potential hazards in manufacturing environments.

Arithmer develops AI-driven robotic systems that utilize machine learning algorithms to enhance operational efficiency in various industries. The company's robots address labor shortages and productivity challenges by performing complex tasks with high precision and reliability.

DAIM Research develops AI-driven automation systems for logistics operations, utilizing machine learning algorithms to optimize supply chain workflows. Their solutions eliminate manual processes and delays, resulting in faster and more accurate logistics management.

This startup provides research and development services for smart factory systems that utilize artificial intelligence to automate machining operations and industrial IoT to monitor factory performance. The company addresses the technician shortage by enhancing operational efficiency and enabling real-time data-driven decision-making in manufacturing environments.

AiV develops intelligent automation solutions using deep learning computer vision and optomechatronics to enhance quality inspection and logistics processes in manufacturing. Their technology provides fast and accurate defect detection, logistics automation, and data management, significantly improving operational efficiency compared to traditional methods.

Nextup Robotics integrates industrial robots and cobots with custom end-effectors to automate manual manufacturing tasks. They provide AI-driven solutions for precision in welding, grinding, and inspection, enhancing efficiency and consistency in production lines.

Pashoot Robotics develops contextual robotics that utilize computer vision and artificial intelligence to enable manufacturing robots to understand and adapt to their environments. This technology allows for rapid deployment and operation without the need for a technical team, addressing the challenge of automating production lines efficiently.

The startup develops enterprise AI technologies that utilize machine learning and deep learning algorithms to optimize Internet of Things (IoT) management for agriculture, forestry, transportation, and logistics sectors. By enhancing process efficiency, the company enables enterprises to increase yield and revenue while lowering input costs.

MeghaAI offers a no-code platform that organizes asset data in the cloud using a robust data model with asset attributes, tags, and units, essential for Industry 5.0 projects. The solution integrates IT and operational technology data through a Unified NameSpace-based Manufacturing Data Lake, enabling predictive analytics and root cause analysis for improved efficiency and sustainability.

Eigen utilizes advanced AI technologies to enhance operational efficiency across various industrial sectors. The platform addresses the challenge of integrating AI into business processes, enabling companies to optimize workflows and improve decision-making.

This company provides an AI-powered visual inspection platform that automates defect detection in manufacturing. Their system helps businesses reduce errors and labor costs by automatically inspecting products and providing monitoring dashboards.

Mechonyx Automation develops custom robotic systems and industrial automation solutions that enhance operational efficiency across various industries. Their offerings include design, implementation, and maintenance of robotics and AI technologies, addressing the need for improved productivity and precision in manufacturing processes.

Zolnoi provides an end-to-end platform that utilizes IoT for data acquisition and proprietary AI for predictive analytics, enabling manufacturers to enhance the efficiency and reliability of their production assets. By analyzing electric current data, Zolnoi helps reduce energy consumption by 12% and improve capacity utilization by 15%, addressing issues of unexpected breakdowns and operational performance in aging machinery.

Qsee provides real-time predictive analytics for process manufacturers, utilizing data modeling techniques to detect and prevent product defects during production. This platform enhances quality control and reduces waste, leading to improved operational efficiency and cost savings.

The startup utilizes artificial intelligence to analyze and optimize engineering drawings, enhancing accuracy and reducing errors in design documentation. This technology streamlines the review process, significantly decreasing project turnaround times and improving overall project efficiency.

The startup offers a process optimization platform that leverages artificial intelligence and IoT technology to predict control defects and welding conditions in manufacturing environments. By providing actionable insights on operational efficiency and maintenance, the platform helps manufacturers reduce costs and enhance productivity.

rAIgine provides AI-driven automation solutions that streamline repetitive tasks in manufacturing and business operations through tools like demand forecasting and production planning. By enabling companies to implement tailored automation, rAIgine enhances operational efficiency and supports sustainable practices.

ZeQube Technologies offers a digital manufacturing platform that provides comprehensive engineering services to global clients. They streamline the manufacturing process from design to production, offering end-to-end solutions.

The startup specializes in artificial intelligence and data analytics services tailored for industrial applications, utilizing IoT technology to collect and analyze operational data. By transforming raw industrial data into actionable insights, the company enhances decision-making and operational efficiency for its clients.

NYX is developing AI-powered CNC machines for the precise processing of metals, composites, and polymers, utilizing real-time telemetry for enhanced operational control. This technology addresses inefficiencies in traditional machining processes by providing accurate, automated adjustments that improve production speed and quality.

Smart Tag develops a plug-and-play Smart Manufacturing AIoT solution that utilizes flexible wireless sensors for cross-machine and cross-platform data collection and analysis. This technology helps manufacturers eliminate operational risks and prevent maintenance losses by providing real-time equipment diagnostics.