Knoxville R&D Tax Credit Explained for Businesses

R&D Tax Credits for Knoxville, Tennessee Businesses

Knoxville, Tennessee, is known for industries such as healthcare, education, manufacturing, retail, and technology. Top companies in the city include the University of Tennessee Medical Center, a leading healthcare provider; the University of Tennessee, a major educational institution; Denso Manufacturing, a significant manufacturing employer; the Knoxville Center Mall, a key player in the retail sector; and Scripps Networks Interactive, a prominent technology company. The R&D Tax Credit can help these industries save on taxes by encouraging innovation and technological advancements.

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Swanson Reed is one of the only companies in the United States to exclusively focus on R&D tax credit preparation. Swanson Reed’s office location at 1910 Madison Avenue, Memphis, Tennessee is less than 385 miles away from Knoxville and provides R&D tax credit consulting and advisory services to Knoxville and the surrounding areas such as: Chattanooga, Johnson City, Kingsport, Cleveland and Maryville.

If you have any questions or need further assistance, please call or email our local Tennessee Partner on (901) 254-7002.
Feel free to book a quick teleconference with one of our Tennessee R&D tax credit specialists at a time that is convenient for you. Click here for more information about R&D tax credit management and implementation.

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Knoxville, Tennessee Patent of the Year – 2024/2025

Online Development Inc. has been awarded the 2024/2025 Patent of the Year for predictive radar-based machine diagnostics. Their invention, detailed in U.S. Patent No. 11881059, titled ‘Machine function analysis with radar plot’, converts live vibration signals into compact radar charts that expose hidden faults.

Industrial downtime drains profits worldwide. This newly granted technology promises faster fault detection by turning raw sensor data into a visual “radar” signature that operators can read at a glance.

The system tracks several vibration spectra at once, transforms each into a fast Fourier transform plot, calculates its area, and watches for even slight changes. When the plotted area shifts beyond a baseline, the software flags an emerging problem while the machine stays online.

Maintenance teams receive early alerts, schedule targeted repairs, and avoid costly shutdowns. Operators gain confidence, extend equipment life, and boost plant safety.

The patent lists Keith A. Walton and Kai T. Bouse as inventors, underscoring Knoxville’s growing influence in industrial analytics. Analysts see the breakthrough as a key step toward autonomous, predictive maintenance across manufacturing, energy, and logistics sectors.