Elemental LED began in 2008, as most Bay Area businesses do, in a garage. The friendship of Max Darling and Randy Holleschau, who are now our CEO and COO respectively, evolved to include an interest in a lighting technology that had been around for a while but was just starting to make an appearance in the realm of consumer products. (We’ve been told "Do Not Walk" by LEDs since the ‘60s!) It’s easy to see how they became obsessed with a technology that is energy-efficient, eco-friendly, and which also allows people to light their spaces in a way that you can’t with just any only light bulb. When it comes to LEDs, you could say they’re lighting nerds, and that all of us at Elemental are lighting nuts.
Elemental LED’s engineering department is continually developing new products that take existing LED technology a step further. We solve problems like dimming and light output limitations. We improve designs so new products are more functional and stylish than their predecessors. We develop high quality, yet affordable, lights, lighting control systems and lighting accessories that you won't find anywhere else.
LED lighting products
Elemental LED Announces Newly Designed Electronic Low-Voltage Dimmable Driver, OMNIDRIVE
The Thermo Scientific™ ARL™ EQUINOX 3000 X-ray Diffractometer for research enables accurate measurements.
KLA’s Filmetrics F40 allows you to transform your benchtop microscope into an instrument to measure thickness and refractive index.
This product profile describes the properties and applications of the ProMetric® I-SC Solution Imaging Colorimeter.
Dr. David Dung
We spoke with University of Bonn spin-off Midel Photonics, a start-up company whose laser beam shaping technology is hoping to sharpen up the laser industry.
Matthias Sachsenhauser, Ph.D.
Following Laser World of Photonics 2022, we spoke with Matthias Sachsenhauser from Hamamatsu Photonics about the role of laser-driven light sources in the future of the photonics sector.
Dr. Keith Paulsen
AZoOptics speaks to Dr. Keith Paulsen about the importance of breast cancer detection and the introduction of his team's deep-learning algorithm that associates spatial images of tissue optical properties with optical signal patterns measured during an imaging experiment or patient exam.