The vision to solve seemingly unsolvable challenges.
In the 1960s, NASA made the impossible, possible—landing astronauts on the moon and returning them home safely. Now the transportation industry faces its own moonshot moment. Yet, with billions invested, fully commercializing automated vehicles remains out of reach.
Spartan Radar is engineered to succeed where others have failed. In fact, our team has already put thousands of radar systems on the ground, in the air, and up in space.
Taking a practical, systems engineering approach and reinventing existing, proven tech, we’re creating Biomimetic Radar™ systems to deliver against market needs.
Intractable perception problems, solved.
What you need isn’t more data—but the right information. We have the deep radar experience to deliver.
Years of combined ADAS experience
Combined years of aerospace and defense experience
Of radar systems on the ground, in the air, and up in space
Meet our leadership team.
Innovation runs deep in our bones.
Nathan MintzCEO & Founder
A proven entrepreneur and tech innovator with deep sensor tech experience, Nathan was founding CEO of defense start-up Epirus. He has raised in excess of $30M in venture capital funds and incubated, led, invested in and advised multiple start-ups in the defense, autonomy, SaaS, and cybersecurity domains. Nathan holds 6 U.S. patents, and he has successfully engineered sensors, jammers and communication systems for airplanes, ships, satellites, drones and now automobiles during the course of his 16-year career with Raytheon, Boeing, Epirus and Spartan. Nathan graduated from Stanford University with B.S. and M.S. degrees in material science engineering.
Blake GascaCRO & Founder
Blake’s deep experience in the autonomous vehicle industry includes successfully starting and exiting two video-based startups in the vehicle telematics space that delivered computer vision, object recognition through machine learning, video intelligence, and vehicle analytics. Blake holds 3 U.S. patents and has 16 years of experience in the automotive sensor market. Blake graduated from Loyola Marymount University with a B.S. in information systems.
Tyler RatherCTO & Founder
A seasoned technology innovator with deep insights into sensor integration, Tyler has led teams of scientists and engineers in the development of digital RF technologies for radar applications, and he holds a U.S. patent. The former Director of Digital RF for Physical Optics Corporation, Tyler also spent 12 years managing teams and engineering radar solutions for Raytheon. Tyler holds a B.S. and M.S. in electrical engineering from the University of Southern California.
Dr. Theagenis AbatzoglouChief Technologist & Founder
A worldwide authority on digital signal processing, Theagenis holds 24 U.S. patents, has been published in more than 70 journals, and has taught at Notre Dame, University of California-Irvine, and Stanford. Theagenis’s career at Raytheon, Boeing, and Garrett Automotive spans forty-five years. He holds a Ph.D. in electrical engineering from University of California-Irvine and a B.S. from California Institute of Technology.
Dr. Tiffany LamPrincipal Radar Scientist
Tiffany is an expert in cognitive sensors and advanced signal processing with 3 trade secret recognitions and multiple publications. Her experience includes 17 years leading innovation in sensor tech, machine learning and systems engineering for Spectranetix, Electromagnetic Systems, Inc., and Raytheon. She holds a B.S., M.S., and Ph.D. from the Electrical, Computer, and Systems Engineering Department at Rensselaer Polytechnic Institute.
Bill RudniskyArtificial Intelligence Lead
An expert in the field of Artificial Intelligence / Machine Learning (AI/ML), Bill has a career spanning 16 years contributing to cognitive autonomy and artificial intelligence research and development projects. He has been granted 4 US Patents and 3 trade secrets for his work in AI/ML. Prior to joining Spartan Radar, he was a Technical Fellow at Northrop Grumman Corporation. He holds B.S. and M.S. degrees from University of Southern California, and is currently working on his Ph.D. at SUNY Binghamton in Operations Research, studying evolutionary programming applications to deep reinforcement learning for schedule optimization.