Background: Osteoporosis is characterized by low bone mineral density, which causes fractures and compromises people's quality of life. Diagnostic devices for assessing this health condition, such as Dual Energy X-ray Absorptiometry (DXA), are very costly. Therefore, it is impracticable to meet the demand for tests in Brazil's 5,568 municipalities. Given that, we proposed a pre-clinical validation of a prototype developed to aid bone mineral density classification. Thus, Osseus integrates a microcontroller with other peripheral devices to measure the electromagnetic permittivity at the middle phalanx of the middle finger, with two antennas operating in the 2.45 GHz frequency range. Using Artificial Intelligence to identify risk factors alongside signal attenuation measurement indicates the need for DXA. Results: We conducted tests with plaster, Galliformes, and porcine bones. Comparison of the measurements of the original and mechanically altered samples have demonstrated that the device can handle the complexity of the tissues within the bone structure and characterize its microarchitecture. Conclusions: Osseus is a prototype and has been preliminarily validated. There is a lack of validation studies with the reference/gold standard that are currently under development. Osseus enables early detection of osteoporosis, reduces costs, and optimizes high-complexity testing referrals.