Building a world where every industrial site sees clearly, judges intelligently, and operates autonomously

Yes, it is possible. When introducing visual inspection, we build the initial AI model using Anomaly Detection (unsupervised learning) that learns patterns solely from normal product data. This allows us to proactively detect Out-of-Distribution (OOD) defects and quickly initiate quality inspections, even in new lines lacking sufficient defect data.

For both our visual inspection models and robotics vision, we conduct strict validations by clearly distinguishing between external benchmark evaluations and actual mass-production conditions. Before full deployment, we go through a Proof of Concept (PoC) phase using field data to cross-validate key metrics—such as detection rates, overkill (false positive) rates, and the impact on the robot's Tact Time—in collaboration with our clients.

Yes, they can. We provide an intuitive No-Code based UI, enabling on-site quality managers to seamlessly control and operate essential maintenance tasks—such as pipeline configuration, labeling, and overkill review—without the need for a dedicated data scientist.

Yes, we respond flexibly using a Single Model architecture. By applying an integrated structure that extracts common defect features across various products, we prevent model fragmentation. Even when new product lines are added, the data is simply integrated into the existing inspection model without the need to build individual models from scratch.

Both our robotics and AI visual inspection solutions typically follow a three-step process: 'Site Diagnosis & PoC → On-site Line Validation → Mass Production Deployment.' Notably, for our inspection solution (AIVEX), we utilize unsupervised learning and automation tools to significantly shorten the overall schedule required for initial data collection and model building.

Both our robot control and AI inspection solutions adopt a modular licensing policy to enable seamless system expansion in line with line additions and process scale-ups. The cost is reasonably structured into three parts: Diagnosis and PoC fees to confirm feasibility, integration costs per site line, and system operation licenses tailored to your infrastructure environment (Cloud or On-premise).

Yes, it is possible. Our robot automation solution, AIVot, features a Multi-Device Control architecture that organically manages multiple pieces of equipment from a single platform, realizing optimal integrated control even in highly complex environments.

Yes, we hold diverse execution references in both robotics and visual inspection fields. From robot-based processes like handling, assembly, and machine tending to ultra-precision quality inspections, we propose the optimal solution tailored to your environment based on proven deployment cases across various industrial sites.

Yes, this is available for both our robotics control and AI inspection solutions. We conduct advance PoCs (Proof of Concept) and demonstrations using your actual physical products. This minimizes risks by cross-validating core performance metrics—such as vision recognition rates and robot Tact Time—before deploying the system to the mass production line. (Note: Depending on the scale of the project, a nominal processing fee may apply, which will be deducted upon commencement of the main project.)

Yes, it is possible. By applying 3D vision and AI recognition technologies, the system accurately calculates real-time coordinates even if the target object's position or posture is inconsistent. This enables highly stable and flexible logistics automation, effortlessly handling randomly placed items or dynamic environments.

Yes, they can be successfully automated. By integrating high-resolution vision systems for precise position calibration with advanced force control technology, the robot can execute delicate force adjustments. This allows us to automate highly complex precision assembly tasks—such as micro-part insertion and fastening—that previously required sophisticated human dexterity.

Yes, this is fully supported. In high-mix, mixed-flow production environments, the system instantly recognizes the part number of the incoming product through real-time integration with your existing production management systems (MES/PLC). Accordingly, the pre-configured optical module settings and AI inspection recipes (SW) are automatically switched, ensuring uninterrupted continuous production and inspection without line stoppages.