sNoise Research Laboratory Revenue
Research Services • 
Shelby Township, Michigan, United States • 1-10 Employees
sNoise Research Laboratory revenue & valuation
| Annual revenue | $256,665 |
| Revenue per employee | $86,000 |
| Estimated valuation?This valuation is estimated based on industry average for the Research Services industry and current estimated revenues | $821,328 |
| Total funding | No funding |
Key Contact at sNoise Research Laboratory
Jeffrey Smigelski
Founder and CEO
Company overview
| Headquarters | 13719 23 Mile Rd, #116, Shelby Township, Michigan 48315, US |
| Phone number | +19375316653 |
| Website | |
| NAICS | 5417 |
| SIC | 873 |
| Keywords | Research And Development, Data Analysis, Complex System Modeling And Simulation, Fractional Order Control Systems, Fractional Scaling Digital Signal Processing |
| Founded | 2013 |
| Employees | 1-10 |
| Socials |
sNoise Research Laboratory Email Formats
sNoise Research Laboratory uses 1 email format. The most common is {first initial}.{last name} (e.g., j.doe@snoiselab.com), used 100% of the time.
| Format | Example | Percentage |
|---|---|---|
{first initial}.{last name} | j.doe@snoiselab.com | 100% |
About sNoise Research Laboratory
21st Century Problems Require 21st Century Solutions: Information is all around us, but is often invisible, either imperceptible or the signal is lost in the noise. As a research, development, and innovation laboratory, the sNoise Research Laboratory (sNRL) is leading the way to develop plug and play Fractional Calculus analytical tools which include advanced digital signal processing libraries, signal-shaping smart filters, advanced machine/deep-learning toolboxes, and algorithmic mathematical solutions for specific fields-of-use in order to better extract the signal from the noise to reveal the hidden reality of information shaping the technologies of our modern world. sNRL is building these fractional calculus toolbox libraries based on our patented Fractional Scaling Digital Signal Processing (FSDSP) platform technology for both standalone applications (SDK, API, FSDSP Chipsets) and for direct integration into Artificial Intelligence (AI) applications to revolutionize the field of Digital Signal Processing. To use an analogy, with FSDSP, sNRL is building a fractional calculus-based AI (FC-AI) that acts like a combination of "ChatGPT" merged with "Shazam" for digital signal processing that may identify, amplify, attenuate, filter, reconstruct, denoise, or synthesize any signal with structure. As the science of noise, the term sNoise describes the science and mathematics behind FSDSP first introduced in the dissertation of Dr. Smigelski. FSDSP represents a game-changing foundational technology for the digital age and show great potential to become the standard of a variety of industries as the next generation in digital signal processing technology. FSDSP, especially when merged with AI, offers the potential to become a disruptive technology and to revolutionize the way in which we currently see, model, filter, and control digital signals and systems as electronics and technologies that incorporate FSDSP (and FC-AI) become ubiquitous.
Employees by Management Level
Total employees: 1-10
Seniority
Employees
Employees by Department
sNoise Research Laboratory has 1 employees across 1 departments.
Departments
Number of employees
Funding Data
sNoise Research Laboratory has never raised funding before.
sNoise Research Laboratory Tech Stack
Discover the technologies and tools that power sNoise Research Laboratory's digital infrastructure, from frameworks to analytics platforms.
Security
JavaScript libraries
JavaScript libraries
CDN
JavaScript libraries
Miscellaneous
Security
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Blogs
Analytics
Video players
Australia
United Kingdom
Frequently asked questions
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