THE TEAM

We at Advanced Research Collection Technologies, or ARC TECH, are a team of anthropologists and archaeologists with over fifteen years of combined experience in the field. Our team members have experience traveling the US and the globe for archaeological research and excavations, which has taught us the importance of reliable, portable, and affordable equipment. Our primary product is the POD, a newly imagined ostemetric device that uses laser sensors with a time of flight technology to measure bone length. In efforts to further advance anthropological data collection, we are currently developing an accompanying APP, ARCDATA, that records measurements taken directly from the POD and stores them in one place.

ERIC ANDERSON

Co-Founder, Chief Executive Officer

Photo of Eric Anderson in the field doing archaeology.

SIERRA W. MALIS

Co-Founder, Chief Marketing Officer

What we do

Anthropology is the study of humans, both in the past and the present. As anthropologists, we try to understand the human condition and contribute to understanding and addressing current issues by studying past human behavior and health alongside current human behavior and health. Some anthropologists attempt to understand how our ancestors lived, behaved, and ate, while others work with present-day communities to identify and address human rights violations in forensic cases in efforts to identify victims. Both of these broad goals are achieved through data collection using standard tools developed for our field, including the osteometric board.

Long bone length is a metric taken in order to identify stature, estimate sex, and understand growth and development patterns, among many other applications. The osteometric board is the field’s standard tool to take measurements of skeletal remains, and, as crucial as this tool is in helping to identifying human remains through stature and sex estimations, the design and functionality hasn’t changed since the 1880s. That means it’s difficult to transport, limited in what it can measure, and requires the user to manually read the measurements from a ruler leading to mistakes.

To solve these issues, we developed the POD.