MuMec builds wireless transceiver technologies that drastically reduce power consumption for use with Bluetooth LE (BLE) and LoRa/Sigfox protocols. Founded by researchers from UC Berkeley, MuMec integrates Radio Frequency MEMS technology with CMOS design, offering a 10-100x reduction in power consumption, enabling consumer devices and IoT applications to extend battery life, enable always-on wireless connectivity, and operate entirely on scavenged power.
The company is disrupting the wireless communication market by offering the truly ultra-low power wireless ICs...
MonoLets, Inc. is a systems company developing a wireless sensor network for the Internet of Things. The company builds the network with the lowest power System-on-Chip (SoC) hardware platform that can be operated from harvested energy requiring no external battery. The company's patented silicon and wireless mesh technology was developed over five years of research and development at UC Berkeley. Monolets' mission is to enable extremely reliable connectivity in challenging RF environments (metal & liquid obstruction), thereby providing access to real-time information...
Developer of miniature bioreactor technology platforms. The company offers improved cell fermentation and cultivation productivity services. It develops and operates Micro-24, fermentation and cell culture system which runs up to 24 simultaneous experiments with independent control of each reactor's gas supply, temperature, and pH.
Microreactor Technologies, Inc. was acquired by Pall Corporation (NYSE: PLL), a global leader in filtration, separation and purification, in 2010.
Inventors
Michel Maharbiz, Jay Keasling, Roger Howe, William Holtz
mFluiDx is aiming to develop the world’s lowest cost, automated point-of-care DNA diagnostic assay for small clinics. In small clinics, such as primary care out-patient clinics, disease diagnosis is typically done by observing symptoms or using paper-strip antibody tests. However, these methods have poor sensitivity compared to DNA diagnostics. Highly sensitive molecular DNA tests (PCR) are not often used because of cost and the need to send tests off-site resulting in a slow turnaround time (several days).
mFluiDx is a UC Berkeley startup developing Gates...
For almost two decades, Luminus has worked with the community of light to solve its most challenging problems. For much of its first decade Luminus focused on improving energy efficiency, light output, the quality of light, and longevity, and developing new form factors to address the needs in many different application areas including architectural and urban, displays and projection, horticulture and illumination.
Having successfully addressed technology challenges, Luminus has been working with lighting designers to make sure that the company's LED technology can...
Light Stage systems efficiently capture how an actor's face appears when lit from every possible lighting direction. From this captured imagery, specialized algorithms create realistic virtual renditions of the actor in the illumination of any location or set, faithfully reproducing the color, texture, shine, shading, and translucency of the actor's skin.
UC Berkeley, University of Southern California Institute for Creative Technologies (USC ICT), and USC Viterbi School of Engineering researchers invented the Light Stage technology, led by Paul Debevec (Berkeley...
Functionally integrated microanalytical system for performing fluorescence spectroscopy via fluorescence-excition radiation, typically from an LED, integrated onto a substrate along with a photodetector an an optical filter.
Inventors
J. Alex Chediak, Nathan Cheung, Luke Lee, Zhongsheng Luo, Timothy Sands, Jeonggi Seo
Developer of Complementary metal-oxide-semiconductor (CMOS)-compatible microelectromechanical systems (MEMS) contour mode resonator technology - small electromechanical structures that vibrate at high frequencies - for filtering and clock synthesis. MEMS resonators are used for timing references, signal filtering, mass sensing, biological sensing, motion sensing, and other diverse applications.
Grafty is a Berkeley-originated computer vision startup bringing face detection, tracking, recognition and biometrics solution to mobile platforms to bolster consumer, healthcare, and security industries. Built on extensive experience, Grafty plan to democratize computer vision and make it more accessible by inventing a state-of-the-art computer vision platform that is super simple to use for research and can operate at scale in real-time industrial applications.
Inventors
Ruzena Bajcsy, Allen Yang, Andrew Wagner, John Wright, Roozbeh Jafari, Sosale Sastry, Yi Ma...
