Bloomington R&D Tax Credit Explained for Corporations

R&D Tax Credits for Bloomington, Indiana Businesses

Bloomington, Indiana, is known for its strong presence in healthcare, education, manufacturing, and retail. Top companies in the city include Indiana University Health Bloomington Hospital, a major healthcare provider; Indiana University, a key educational institution; Cook Medical, a prominent manufacturing company; Walmart, a global retail giant; and Amazon, a global logistics and e-commerce company. The R&D Tax Credit can help these industries reduce tax liabilities, promote innovation, and enhance business performance.

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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 9445 Indianapolis Boulevard, Highland, Indiana is less than 205 miles away from Bloomington and provides R&D tax credit consulting and advisory services to Bloomington and the surrounding areas such as: Indianapolis, Greenwood, Terre Haute, Columbus and Martinsville.

If you have any questions or need further assistance, please call or email our local Indiana Partner on (219) 230-9956.
Feel free to book a quick teleconference with one of our Indiana 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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Bloomington, Indiana Patent of the Year – 2024/2025

Second Sight Data Discovery Inc. has been awarded the 2024/2025 Patent of the Year for its innovative approach to identifying single points of failure in digital systems. Their invention, detailed in U.S. Patent No. 12056001, titled ‘Apparatus and method for identifying single points of failure’, employs machine learning to analyze digital resource dependencies and proactively detect vulnerabilities.

The patented system maps out how various digital resources – such as software components and network elements – interact within a computing environment. By constructing dependency trees, the technology identifies common resources that, if compromised, could lead to system-wide failures. A machine learning model then assesses these critical points, recommending targeted risk mitigation strategies.

This advancement enables organizations to foresee and address potential failures before they occur, enhancing system resilience and reducing downtime. It’s particularly valuable for sectors where reliability is paramount, such as finance, healthcare, and critical infrastructure.

Second Sight Data Discovery’s achievement marks a significant step forward in cybersecurity, offering a proactive tool to strengthen digital infrastructure.