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TechNext

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TechNext
Company typePrivate
IndustryInformation technology
Founded2020; 4 years ago (2020)
FoundersChristopher L. Magee (CEO)
Anuraag Singh (CTO)
HeadquartersRichmond, Massachusetts, USA
Websitetechnext.ai

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

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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.[1][2][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.[7][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

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References

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  1. ^ a b "A comprehensive study of technological change". MIT News | Massachusetts Institute of Technology. 2021-08-02. Retrieved 2024-11-03.
  2. ^ a b "New AI tool by MIT predicts how fast any technology is improving". ETCIO.com. Retrieved 2024-11-03.
  3. ^ "New AI tool by MIT predicts how fast any technology is improving". The Week. Retrieved 2024-11-03.
  4. ^ "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. doi:10.1016/j.respol.2021.104294. ISSN 0048-7333.
  6. ^ "10 startups harnessing the power of AI". mitsloan.mit.edu. 2024-10-29. Retrieved 2024-11-03.
  7. ^ a b Macaulay, Thomas (2021-08-04). "MIT researchers use AI to predict the next big things in tech". Deep-Tech. Retrieved 2024-11-06.
  8. ^ "TechNext Patent US12099572". Patents Gazette.
  9. ^ Robinson, Teresa (2022-02-23). "Now, there Is a New AI Tool to Assess Improvement of Technologies". GRC Viewpoint. Retrieved 2024-11-17.
  10. ^ Niggli, Matthias; Rutzer, Christian (2023-01-13). "Digital technologies, technological improvement rates, and innovations "Made in Switzerland"". Swiss Journal of Economics and Statistics. 159 (1): 1. doi:10.1186/s41937-023-00104-z. ISSN 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. 4 (2): 277–289. doi:10.1021/acsestengg.3c00475. ISSN 2690-0645. PMC 10862477. PMID 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. 33 (10): 716–727. arXiv:2110.13624. doi:10.1080/09544828.2022.2143155. ISSN 0954-4828.
  13. ^ "Technext Inc". legacy.www.sbir.gov. Retrieved 2024-11-17.
  14. ^ Thornhill, John (23 September 2021). "Innovation stillrequiressmart, even barmy, innovators". Financial Times. Retrieved 2024-11-03.
  15. ^ Mims, Christopher (2021-09-18). "New Research Busts Popular Myths About Innovation". The Wall Street Journal.
  16. ^ "Anuraag Singh | Falling Walls". apply.falling-walls.com. Retrieved 2024-11-06.