Veteran entrepreneur Naren Gupta says he
first met Y.C. (Buno) Pati at Harvard University where Pati
briefly taught electrical engineering. In Pati, Gupta saw a
young man with a personality that “excites people” to work
with him. That wasn’t the only thing that attracted the likes
of Gupta to Pati’s startup. Gupta, one of the earliest
entrepreneurs in Silicon Valley, pumped money into Numerical
Technologies four years ago also because he was convinced the
technology Pati took out of a Darpa-funded research project at
Stanford would have a “major impact” on semiconductor
manufacturing.
Not only has Gupta been proven right, his expectations
appear to have been a tad modest. Numerical has given Moore’s
Law – a theory that the number of transistors on an integrated
circuit doubles every 18 months – a breath of life just when
it appeared to be at greater threat than ever before. What’s
more, the startup’s technology is seen as ensuring the
unhindered operation of Moore’s Law (see stories alongside)
for at least a decade, if not more.
Pati, born in Washington, grew up and studied in
Bhubaneswar (Orissa) and Ajmer (Rajasthan) before coming to
the US to earn a college degree. Son of a University of
Maryland professor, Pati earned up undergraduate and a
doctorate degree in electrical engineering at the same
university before joining Stanford University in 1992 as a
research associate.
Although he had specialized in wireless communications,
Pati was trying to apply signal-processing techniques to
semiconductor processing for the Darpa project. In particular,
the research group improved upon a 20-year-old technology
called phase shifting masking, which had been applied with
only limited success so far. “The first time I saw it, I was
blown away,” said Dan Hutcheson, an analyst at San Jose’s VLSI
Research. But in 1995, when Pati, together with Stanford
professor Thomas Kailath and another researcher, licensed the
technology, the challenge was to convince the market that
there was a need for the technology, says Pati.
“It was like selling a new form of aspirin. People just
said, ‘No thanks, I don’t have a headache,’” says Pati.
Current technologies still permitted the smooth operation of
Moore’s law, and the market didn’t immediately recognize a
future need. Besides, the industry anticipated a new
generation of chip-processing equipment based on
short-wavelength lasers. Getting that mindshare in the market
was the single most challenging task, says Pati. Now,
Numerical’s technology is the farthest in the area of
subwavelength optical lithography.
It’s a few months since Numerical started life as a
publicly traded company, but Pati is not weighed down by heavy
expectations. He comes to work in blue jeans, T-shirt and a
golden retriever in tow. He has held a carefree approach to
entrepreneurship, in spite of the fact that this was a first
venture. “What risk?” he asks. “There was only
uncertainty.”
Regardless of the light-hearted manner in which Pati
looks back on the entrepreneurial effort, Numerical was
bootstrapped at the outset. But the benefits of Stanford
connections manifested themselves soon enough, and the startup
developed rather easily, even though not as quickly as Pati
may have wanted it to. Numerical attracted investments from
Mohr Davidow Ventures, Goldman Sachs and even chip giant
Intel.
“Getting a good team together was still the major task
and once we had that, it was rather easy,” says Pati, who
selected an experienced senior management team, some of whom
had been associated with other startups.
Pati took the company public last April, when it
received a warm welcome from investors despite adverse market
conditions. It is trading at about $52, giving the company a
valuation of almost $1.5 billion. Its roster of clients
includes almost every major semiconductor player, including
Lucent and Motorola. Although it’s all come together nicely,
analysts believe there still remains a lot of upside
potential, because Numerical possesses the most advanced
technology in subwavelength lithography. Says Pati, “We are
still the only company that actually produces chips at 0.1
micron level. In the lab, we have reached the 0.025 micron
level.”
“For a first-time CEO, Buno is blending technology,
marketing savvy and charisma,” says Rob Chaplinsky, a venture
capitalist at Mohr Davidow Ventures, an investor in Numerical.
“It’s rare that you get all of those in one
person.”