TechNext
| Private | |
| ISIN | 🆔 |
| Industry | Information technology |
| Founded 📆 | 2020 |
| Founders 👔 | Christopher L. Magee (CEO) Anuraag Singh (CTO) |
| Headquarters 🏙️ | Richmond, Massachusetts, USA |
Area served 🗺️ | |
| Members | |
Number of employees | |
| 🌐 Website | technext |
| 📇 Address | |
| 📞 telephone | |
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.[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
References
- ↑ 1.0 1.1 "A comprehensive study of technological change". MIT News | Massachusetts Institute of Technology. 2021-08-02. Retrieved 2024-11-03.
- ↑ 2.0 2.1 "New AI tool by MIT predicts how fast any technology is improving". ETCIO.com. Retrieved 2024-11-03.
- ↑ "New AI tool by MIT predicts how fast any technology is improving". The Week. Retrieved 2024-11-03.
- ↑ "MIT built a Google search to spot the most important tech innovations of the future". Fast Company.
- ↑ 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. arXiv:2004.13919. doi:10.1016/j.respol.2021.104294. ISSN 0048-7333.
- ↑ "10 startups harnessing the power of AI". mitsloan.mit.edu. 2024-10-29. Retrieved 2024-11-03.
- ↑ 7.0 7.1 Macaulay, Thomas (2021-08-04). "MIT researchers use AI to predict the next big things in tech". Deep-Tech. Retrieved 2024-11-06.
- ↑ "TechNext Patent US12099572". Patents Gazette.
- ↑ Robinson, Teresa (2022-02-23). "Now, there Is a New AI Tool to Assess Improvement of Technologies". GRC Viewpoint. Retrieved 2024-11-17.
- ↑ 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.
- ↑ 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 Check
|pmc=value (help). PMID 38357245 Check|pmid=value (help). - ↑ 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.
- ↑ "Technext Inc". legacy.www.sbir.gov. Retrieved 2024-11-17.
- ↑ Thornhill, John (23 September 2021). "Innovation still requires smart, even barmy, innovators". Financial Times. Retrieved 2024-11-03.
- ↑ Mims, Christopher (2021-09-18). "New Research Busts Popular Myths About Innovation". The Wall Street Journal.
- ↑ "Anuraag Singh | Falling Walls". apply.falling-walls.com. Retrieved 2024-11-06.
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