This company provides software platforms utilizing AI and Digital Twin technologies to build autonomous and unmanned manufacturing facilities. Their solutions include fleet control (xMS), virtual simulation (xDT), predictive maintenance (AID), and layout analysis (LAY) for logistics robots. They serve advanced manufacturing sectors like semiconductors, secondary batteries, automotive, and flat panel displays.
Funding
$7.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many manufacturing facilities still rely on manual processes and outdated systems for logistics, leading to inefficiencies, delays, and increased operational costs. The lack of real-time visibility and optimized workflows hinders productivity and responsiveness to changing demands.
Solution
DAIM Research offers an AI-powered software platform designed to automate and optimize logistics operations within manufacturing plants. Their solutions leverage digital twin technology and collaborative intelligence to control and manage fleets of autonomous mobile robots (AMRs) and other material handling equipment. The platform provides real-time monitoring, predictive maintenance, and layout optimization tools to ensure smooth and efficient material flow. By simulating various logistics scenarios and analyzing layouts, DAIM Research helps manufacturers reduce investment costs, improve operational efficiency, and transition from traditional conveyor systems to flexible, autonomous systems.
Target Audience
The primary target audience includes manufacturers in industries such as semiconductor, battery, automotive, flat panel display, and general manufacturing, who are looking to automate and optimize their logistics operations.
Features
- xMS: A digital twin solution for controlling and managing fleets of logistics robots using collaborative intelligence.
- xDT: A digital twin solution for simulating various logistics environments by virtually replicating hardware infrastructure.
- AID: A vehicle predictive maintenance solution that constantly monitors logistics robots to maintain optimal condition.
- LAY: An automated solution for designing and analyzing layouts for logistics robot systems.
- Support for diverse manufacturing industries including semiconductor, battery, automotive, and display manufacturing.
- Both on-premise and cloud-based subscription options available.