Turning “Black Silicon” Into Gold: SiOnyx Closes $12.5M from Bay Area and Seattle Firms, Goes After Image Sensor Market

Quick, name a semiconductor company in the Boston area that’s been getting lots of venture financing lately. OK, well, you already read the headline, so that one doesn’t count. My point is, there haven’t been too many of those—until today.

SiOnyx is the Beverly, MA-based semiconductor materials company that is working on commercializing so-called “black silicon.” This is essentially silicon that is much more efficient at absorbing light at certain wavelengths (and producing electricity) because it has been treated by just the right combination of laser pulses and chemicals. That means black silicon could potentially be used to make ultra-sensitive image sensors for digital cameras, night-vision goggles, and medical imaging equipment, as well as much more efficient solar cells. As my colleague Wade reported almost exactly two years ago, SiOnyx thinks it can revolutionize these fields, in part because its advanced technology can piggy-back on conventional silicon-based manufacturing processes.

Today the company is announcing a $12.5 million Series B financing round that includes new investors Crosslink Capital in San Francisco and Seattle-based Vulcan Capital, Microsoft co-founder Paul Allen’s venture firm. Strategic partner Coherent, a laser company in Santa Clara, CA, also has signed on as a new investor in SiOnyx, and existing investors Polaris Venture Partners and Harris & Harris also participated in the round. The $12.5 million represents the completion (and sum total) of the financing round that Xconomy first wrote about in June.

“When we last talked about the company, we were vague about the application areas,” says SiOnyx CEO Stephen Saylor. “It’s a platform technology, and you want to evolve it and see where the value is.” (More on this in a minute.)

The SiOnyx technology is based on research from physicist Eric Mazur’s group at Harvard University. In the late 1990s, Mazur’s team first developed (and coined the term) black silicon in a series of experiments that used sulfur gases and femtosecond lasers—which emit sharp pulses of light that last only a millionth of a billionth of a second—to roughen up the surface of silicon wafers (see photo below). After discovering how well the resulting material absorbed photons, and delving deep into its atomic properties, the team decided to start a company.

Black silicon (photo: SiOnyx)

SiOnyx was incorporated in 2005, and the following year, it gained an exclusive license from Harvard to commercialize its process. In 2007, the startup raised $11 million in venture capital from Harris & Harris, Polaris, and RedShift Ventures. It also has raised an undisclosed amount of non-dilutive financing from government sources and partners, Saylor says, which brings the company’s total funding to more than $35 million.

So where is the first big commercial market? Try camera phones taking pictures in low lighting—at night or in a dark bar or restaurant. And other applications like night-vision cameras, next-generation automotive sensors for detecting driving hazards, security and surveillance, and medical imaging devices. The basic idea, as Saylor explains, is that black silicon gives you performance in the dark comparable to what a conventional image sensor can do in daylight. That’s partly because the material is much better at absorbing photons in the near-infrared part of the spectrum than conventional silicon detectors.

“We’re going where [others] are blind, and we enable you to see,” Saylor says. “There is no other way to deliver this kind of performance.”

The question, then, is whether SiOnyx can scale up its capabilities fast enough to

Author: Gregory T. Huang

Greg is a veteran journalist who has covered a wide range of science, technology, and business. As former editor in chief, he overaw daily news, features, and events across Xconomy's national network. Before joining Xconomy, he was a features editor at New Scientist magazine, where he edited and wrote articles on physics, technology, and neuroscience. Previously he was senior writer at Technology Review, where he reported on emerging technologies, R&D, and advances in computing, robotics, and applied physics. His writing has also appeared in Wired, Nature, and The Atlantic Monthly’s website. He was named a New York Times professional fellow in 2003. Greg is the co-author of Guanxi (Simon & Schuster, 2006), about Microsoft in China and the global competition for talent and technology. Before becoming a journalist, he did research at MIT’s Artificial Intelligence Lab. He has published 20 papers in scientific journals and conferences and spoken on innovation at Adobe, Amazon, eBay, Google, HP, Microsoft, Yahoo, and other organizations. He has a Master’s and Ph.D. in electrical engineering and computer science from MIT, and a B.S. in electrical engineering from the University of Illinois, Urbana-Champaign.