TechNext explained

TechNext
Type:Private
Location:Richmond, Massachusetts, USA
Founders:Christopher L. Magee (CEO)
Anuraag Singh (CTO)
Industry:Information technology

TechNext is an artificial intelligence (AI) company headquartered in Richmond in the US State of Massachusetts. The company provides quantitative forecasts for technology.[1] [2] [3]

History

In early 2020, Prof. Christopher L. Magee and MIT researcher Anuraag Singh, created a search engine that can predict the improvement rates of about 1,757 different technologies.[4] [5]

In 2020, Prof. Christopher L. Magee and Anuraag Singh formed TechNext and formalized their research into a company. The company is an MIT spinout that uses search algorithms and machine learning to identify, predict, and assess the investment opportunities of all emerging technologies.[6] [7]

TechNext has patented its technology with Patent Number US12099572.[8] It uses large empirical datasets, patented algorithms to define technologies and to forecast improvement rates across the technology system.[9] The research has been used by the researchers at the University of Basel to assess Switzerland's digital technology readiness,[10] also by scientists at Lawrence Berkeley National Laboratory, Delft University of Technology, and Princeton University to estimate the annual improvement rate for membrane separation,[11] and by Singapore University of Technology and Design to create a technology fitness landscape for design innovation.[12]

TechNext has secured SBIR Phase 1 and Phase 2 US Air Force contracts.[13] It has been featured in Financial Times and Wall Street Journal.[14] [15]

In 2022, Co-founder Anuraag Singh was one of the Global Call winners of the Falling Walls Foundation's, Science & Innovation Management award.[16]

See also

Notes and References

  1. Web site: 2021-08-02 . A comprehensive study of technological change . 2024-11-03 . MIT News Massachusetts Institute of Technology . en.
  2. Web site: New AI tool by MIT predicts how fast any technology is improving . 2024-11-03 . ETCIO.com . en.
  3. Web site: New AI tool by MIT predicts how fast any technology is improving . 2024-11-03 . The Week . en.
  4. Web site: MIT built a Google search to spot the most important tech innovations of the future . Fast Company.
  5. Singh . Anuraag . Triulzi . Giorgio . Magee . Christopher L. . 2021-11-01 . Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description . Research Policy . 50 . 9 . 104294 . 10.1016/j.respol.2021.104294 . 0048-7333. 2004.13919 .
  6. Web site: 2024-10-29 . 10 startups harnessing the power of AI . 2024-11-03 . mitsloan.mit.edu . en.
  7. Web site: Macaulay . Thomas . 2021-08-04 . MIT researchers use AI to predict the next big things in tech . 2024-11-06 . Deep-Tech . en.
  8. Web site: TechNext Patent US12099572 . Patents Gazette.
  9. Web site: Teresa . Robinson . 2022-02-23 . Now, there Is a New AI Tool to Assess Improvement of Technologies . 2024-11-17 . GRC Viewpoint . en-US.
  10. Niggli . Matthias . Rutzer . Christian . 2023-01-13 . Digital technologies, technological improvement rates, and innovations "Made in Switzerland" . Swiss Journal of Economics and Statistics . en . 159 . 1 . 1 . 10.1186/s41937-023-00104-z . free . 2235-6282.
  11. Dischinger . Sarah M. . Miller . Daniel J. . Vermaas . David A. . Kingsbury . Ryan S. . 2024-02-09 . Unifying the Conversation: Membrane Separation Performance in Energy, Water, and Industrial Applications . ACS ES&T Engineering . en . 4 . 2 . 277–289 . 10.1021/acsestengg.3c00475 . 2690-0645 . 10862477 . 38357245.
  12. Jiang . Shuo . Luo . Jianxi . 2022-10-03 . Technology fitness landscape for design innovation: a deep neural embedding approach based on patent data . Journal of Engineering Design . en . 33 . 10 . 716–727 . 10.1080/09544828.2022.2143155 . 2110.13624 . 0954-4828.
  13. Web site: Technext Inc. . 2024-11-17 . legacy.www.sbir.gov.
  14. News: Innovation stillrequiressmart, even barmy, innovators . 2024-11-03 . Financial Times. 23 September 2021 . Thornhill . John .
  15. News: Mims . Christopher . 2021-09-18 . New Research Busts Popular Myths About Innovation . The Wall Street Journal.
  16. Web site: Anuraag Singh Falling Walls . 2024-11-06 . apply.falling-walls.com . en-US.

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