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Company Interview Excerpt
DOUGLAS LANE - VIALOGY CORPORATION


Full article published: 10/14/2003


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TWST: Would you begin with a brief historical sketch of the company and a picture of things as they are now?
Mr. Lane: ViaLogy discovered a means of performing active signal processing strictly in computer code algorithmically, which provides a significantly better, less expensive form of doing active signal processing at substantially lower cost. The company was incorporated in 1999. I joined the organization in 2001. The founders were managers at the NASA Jet Propulsion/Caltech facility in Pasadena, where they ran the super-computing program, headed the ultra-computing facility and the quantum-computing facility. In the last two years, we have applied the technology in our first application, and that is doing retrospective analyses of DNA micro arrays. We have subsequently validated the technology. We're now producing revenues and are on a course to be cash- burn break even. Specifically with that application, we have demonstrated that we can substantially increase sensitivity, specificity and reproducibility of DNA microarrays through active signal processing. The technology itself is broadly scaleable. We have multiple applications that are in the process of development today - some within the life sciences and some outside the life sciences. Our intent is to scale the technology very broadly and have it become the standard of signal processing in all industries where computational active signal processing provides significant commercial, economic and scientific advantages.

TWST: How similar or dissimilar are you to competing companies?
Mr. Lane: We are not aware of any company that is exploiting comparable technology. There are many companies that are involved in signal processing. Most of them use passive signal processing to identify stronger signal emitters or more sensitive detectors. However, they can not even come close to the level of sensitivity, specificity and reproducibility that we can accomplish with our algorithmic solutions.

 

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