I represent IMEMS Technology Srl, an innovative startup operating out of Italy, and Chicago, IL, USA. IMEMS Technology has developed a new generation of Inertial Measurement Unit - IMU using MEMS Technology. Our mathematical model can process data in parallel by taking advantage of the cutting-edge FPGA Technology, DSP Processor, and advanced parallel calculation algorithm. The main problem encountered with MEMS accelerometers and gyroscopes is the high level of noise. To overcome this issue, designers have to filter the signal with a high order of filters bringing an increase in costs for a tactile grade MEMS – IMU. However, the advantage of using MEMS technology is to reduce the size of accelerometers and gyroscopes. An FPGA-based design is the best solution to overcome the problem of low-quality signal, and real-time requirements while using cost-effective MEMS sensors. FPGA (Field Programmable Gate Array) is a re-programmable silicon chip, using inbuilt logic blocks, lookup tables, built-in DSP units, PLLs, and programmable routing resources. The chips can be configured to implement custom hardware functionality such as data filtering, mathematical estimation, and communications. FPGAs provide hardware-timed speed, reliability, and are truly parallel. Therefore, different processing operations will never compete for the same resources. If a typical unit uses a DSP processor, the reading from all the available sensors is going to be done in series causing a time delay just to collect the data from the sensors. In the real-time calculation, the phase shift is not tolerated, therefore the mathematical calculation core will not be able to achieve the required accuracy, especially if the quality of the signal is low. Our solution is taking full advantage of FPGA-based hardware circuitry, allowing for extremely low latency measurements and estimation. Using FPGA, we have achieved a minimum calculation speed of 1KHz, data measuring, and estimation of a minimum 3KHz. As a result, our solution has achieved high performance at extremely low cost and small size.