Semiconductors & Electronics Group
AI and IoT Solutions for Semiconductor & Electronics
The Semiconductors & Electronics Group encompasses semiconductor fabrication, assembly and testing, electronics manufacturing, printed circuit board production, and display manufacturing. These operations depend on precise material handling, controlled workforce access, equipment availability, production coordination, and accurate identification of high-value assets and work-in-progress. AI and IoT systems can help manufacturers improve these processes by connecting people, equipment, materials, tools, and production activities with software that supports operational decisions.
Identification and location technologies such as RFID, BLE, and related tracking methods can provide the underlying operational data, while AI can analyze that information to improve workforce utilization, asset visibility, inventory control, traceability, and production coordination. Such systems can support fabs, OSAT facilities, EMS plants, PCB factories, and LCD/OLED manufacturing environments without requiring every operational decision to depend on manual records.
Portfolio Companies under Semiconductors & Electronics Group
DisplayCore AI
DisplayCore AI focuses on the movement of people, glass substrates, panels, reticles, carriers, production materials, and manufacturing resources through LCD and OLED production environments. Display manufacturing combines highly controlled cleanroom operations with multiple stages involving substrate processing, TFT fabrication, patterning, color-filter or OLED-related processes, cell assembly, inspection, and panel finishing. LCD manufacturing, for example, uses glass and silicon substrates and incorporates semiconductor-like cleanroom and patterning processes.
AIoT systems can help display manufacturers determine where a particular substrate, panel, carrier, or production resource is located without relying on manual searches or disconnected records. AI can examine movement and dwell-time patterns to identify where WIP accumulates between processing stages, inspection, or assembly. Location-aware workforce applications can also help coordinate technicians and engineers around equipment areas requiring intervention, while controlled identification can support movement through restricted cleanroom zones. For large-format display production, where physical substrates and panels move between specialized processing areas, accurate location information can help production teams investigate delays, coordinate handling activities, and maintain clearer visibility of WIP throughout the manufacturing cycle.
Packentra AI
Packentra AI addresses the physical complexity of outsourced semiconductor assembly and test, where packaged devices move through die preparation, die attach, wire bonding or flip-chip processes, molding, singulation, marking, inspection, burn-in, electrical testing, packing, and shipment. AIoT systems can help production teams follow carriers, trays, reels, test fixtures, packaged devices, tooling, and other production resources as they move between assembly and test operations.
AI can identify where production lots or carriers are waiting, determine which resources are tied up in particular operations, and highlight movement patterns associated with bottlenecks or extended dwell times. For high-volume OSAT environments, this can help supervisors coordinate material movement between assembly lines and test areas while reducing manual searches for fixtures, carriers, and production resources. Workforce location information can also help route technicians and engineers to the production area where intervention is required. The emphasis is on improving the physical flow of semiconductor packages through assembly and test rather than simply adding another layer of manufacturing data.
Fabentra AI
Fabentra AI helps semiconductor fabs improve the coordination and visibility of highly controlled manufacturing operations, where wafers, FOUPs, reticles, carriers, production tools, engineers, operators, and maintenance teams move through tightly defined process areas. AIoT systems can establish a real-time operational picture of where critical production resources and personnel are located across cleanrooms, lithography areas, deposition and etch zones, metrology areas, stockers, equipment bays, and engineering spaces. This can help fab operators reduce time spent locating carriers and tools, identify unexpected movement, and coordinate personnel with the equipment and production areas requiring attention.
AI can also analyze movement histories to identify recurring delays in wafer transport, equipment servicing, material staging, or engineering activities. Location-aware workflows can support controlled movement around sensitive equipment and restricted cleanroom areas while giving manufacturing and facilities teams better information for responding to operational events. Rather than treating the fab as a generic connected facility, Fabentra AI focuses on applying AIoT to the physical movement and identification of the people and production resources that keep semiconductor fabrication running.
ElectronIQ AI
ElectronIQ AI focuses on the realities of electronics manufacturing, where thousands of components, kits, assemblies, tools, work orders, and finished products can move through receiving, component storage, kitting, SMT production, inspection, rework, final assembly, testing, and shipping. AIoT systems can help manufacturers connect the physical location of materials and assemblies with the production activities taking place around them.
A practical application is identifying where a specific production kit, PCB assembly, fixture, or material lot is located when it is needed on the factory floor. AI can use historical movement and production information to identify recurring material-search problems, staging delays, excessive movement, or unusual routing between workstations. During rework and quality operations, location-based identification can help teams find assemblies awaiting inspection or repair and establish a clearer physical history of their movement through the factory. For EMS operations with frequent product changeovers and mixed production schedules, these capabilities can help improve line readiness, material availability, and coordination between production, engineering, quality, and logistics teams.
BoardLogic AI
BoardLogic AI applies AIoT to the physical production flow of bare printed circuit boards, where panels pass through a sequence of imaging, etching, lamination, drilling, copper plating, solder mask, surface finishing, electrical testing, inspection, and packing. The challenge is not simply knowing that a production order exists, but determining where its physical panels are, which process they have completed, and where they are waiting for the next operation.
AIoT-based identification can associate panels and production lots with specific staging areas and manufacturing steps, helping production personnel locate WIP that has been held between imaging, lamination, drilling, plating, or inspection. AI can analyze dwell times and movement histories to identify process stages where panels repeatedly accumulate or remain longer than expected. The same approach can help locate tooling, drill fixtures, inspection resources, carts, and other shared production assets. For multilayer and HDI PCB production, where process sequencing and dimensional accuracy become increasingly important, better physical visibility can help manufacturing teams investigate delays and maintain more reliable production flow.
Building the Future of Industrial AI and IoT for Semiconductors & Electronics Industry
For more than three decades, GAO Group of Companies has invested heavily in R&D of industrial IoT. Since generative AI was proven useful in industrial applications, we have been developing AI and IoT technologies and have established Aperture Venture Studio to build and scale AI and IoT companies serving industrial markets.
Aperture has attracted AI and IoT technical experts, entrepreneurial and operational executives, influential investors, and industry leaders as corporate partners.
The organization has also developed TekSummit and Aperture Ventures Summit to discuss advanced topics in AI and IoT and to bring together technical and business communities working in these fields.
These activities have helped develop diversified technical communities around industrial AI and IoT. The growing demand for AI and IoT in Semiconductors & Electronics creates opportunities to apply these capabilities to manufacturing visibility, workforce coordination, asset tracking, inventory management, work-in-progress identification, access control, and traceability.
Join Aperture Venture Studio
Aperture Venture Studio welcomes professionals and organizations interested in advancing AI and IoT applications for Semiconductors & Electronics.
- Advisors, co-founders, founding members and prospective employees
- Strategic, venture, angel, and institutional investors
Let’s work together to build the future of AI and IoT for Semiconductors & Electronics.