Building digitalize layer for Physical AI.
Aeterlink develops wireless power transfer technology and batteryless sensor infrastructure for real-world AI applications across factories, buildings, and logistics environments.
We believe the next generation of AI systems will require dense, structured, and continuously available data from the physical world. Our work focuses on making that data easier to collect through wireless-powered sensing infrastructure and easier to use through edge/fog AI, time-series analytics, and domain-specific datasets.
Aeterlink works at the intersection of:
Aeterlink focuses on data-centric research for Physical AI.
Rather than publishing large foundation models, we study how dense, structured, and continuously available physical-world data improves the accuracy, grounding, safety, and usefulness of AI-generated responses and decisions.
Our research explores how wireless-powered sensors can provide additional context across time, space, equipment state, environment, and human activity, and how these data layers affect AI performance in buildings and factories.
Resources for understanding how wireless-powered sensors can expand the sensing density of real-world AI systems.
Planned resources:
Resources for BEMS, HVAC optimization, occupancy-aware control, and building energy analytics.
Planned resources:
Resources for factory automation, machine monitoring, tool wear prediction, and industrial anomaly detection.
Planned resources:
Aeterlink maintains a public learning and research index for Industrial Physical AI.
This index is designed to support internal education while also helping the broader community discover relevant concepts, papers, datasets, and application areas.
Our focus is not limited to model development. We are especially interested in how industrial physical-world data, sensor-derived context, and domain-specific knowledge improve AI response quality and decision accuracy.
The bottleneck for Physical AI is not only model capability.
It is the availability of reliable physical-world data.
Factories and buildings contain rich operational signals, but conventional sensing infrastructure is often constrained by wiring, battery maintenance, installation cost, and downtime.
Aeterlink aims to remove these constraints by combining wireless power transfer, batteryless sensing, and edge/fog intelligence.