Discovering hidden interdisciplinary knowledge for Efficient R&D
An AI-enabled platform that can assist researchers by automating their manual efforts and enabling interdisciplinary collaborative research.
We use a B2B based subscription model for research entities and organizations and B2C subscription model for individuals.
shorturl.at/ehKQU
There have been accidental scientific discoveries because of the manual, inefficient, and lack of collaborative interdisciplinary research
Interdisciplinary knowledge hypotheses generation and its validation. Its application in drug discovery. Making every user a researcher.
Assist researchers by automating their manual efforts and enabling collaborative interdisciplinary discovery deliberately possible.
iris.ai scholar.google.com connectedpapers.com semanticscholar.org researchrabbit.ai discoverylab.ai
We are looking for a mentor/investor/co-founder/connections to research institutes
Clustering, building knowledge graphs, extracting attributes from articles, hypothesis generation, and collaborative demographic analysis.
we focus on 'interdisciplinary' semantic analysis and knowledge discovery, enabling collaborative features, and knowledge-generating engine
B2C: research activities are undertaken by MS/Ph.D. students, and research staff.
B2B: higher education and research centers/labs.
Trial for premium services LinkedIn for lead generation Email marketing to researchers and digital marketing in science magazines
B2C aspects TAM 25 million SAM 7.5 million SOM 2.5 million B2B aspects TAM 20.000 entities SAM 8.000 entities SOM 4.000 entities
Partner AI communities, student bodies, and researchers Free trial Sponsoring scientific platforms Email, content marktin, & social media
