Scite combines natural language processing with a network of experts to evaluate the veracity of scientific work.
Business Model: B2C
Revenue: $0
Employees: 1-10
Address: 334 Leonard St
City: Brooklyn
State: NY
Zip: 11211
Country: US
Scite is a platform that uses deep learning, natural language processing, and a network of experts to identify and promote reliable research by evaluating the veracity of scientific claims. It can automatically classify scientific citations as supporting, refuting, or mentioning, thus enabling users to score the veracity of scientific reports, researchers, institutions, journals, and scientific fields.
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Announced Date | Company | Transaction | Money Raised |
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Announced Date | Transaction | Number of Investors | Money Raised | Lead Investors | 5/2020 | Grant | 1 | $1.5M |
National Institute on Drug Abuse (NIDA) National Institute on Drug Abuse (NIDA) |
10/2022 | Venture Round | $1.9M | 7/2019 | Grant | 1 | $224.6k |
National Science Foundation National Science Foundation |
9/2022 | Equity | $1.9M | 11/2018 | Convertible Note | 1 | $350k |
ff Venture Capital ff Venture Capital |
10/2019 | Grant | $209k |
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Revenue: 0 - 100000 Employees: Industry: Software |
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Revenue: 0 - 100000 Employees: 51 - 500 Industry: Education |
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Revenue: 0 - 100000 Employees: 1 - 10 Industry: Blockchain |
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Revenue: 0 - 100000 Employees: 11 - 50 Industry: Industrial |
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Revenue: 0 - 100000 Employees: 1 - 10 Industry: Advertising |
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