Saikiran Chandha and Shanu Kumar are using the power of generative AI to automate the task of decoding and understanding research papers for the scientific research community.<\/p>\n\n\n\n
With the advent of AI language models, researchers and academicians have access to various tools to ease their work. However, literature reviews remain a challenging task, consuming much of their time and energy. To address this, founders Saikiran Chandha and Shanu Kumar are determined to build solutions using generative AI to automate the decoding and understanding of research papers for the scientific research community.
SciSpace, a Bengaluru-based software development startup founded in 2016, specializes in creating SaaS platforms for academic and scientific research. However, the startup went through a significant transition with the advent of generative AI and the launch of its flagship product, Copilot, three months ago. Copilot is an AI research assistant that empowers researchers to decode any research paper effortlessly.<\/p>\n\n\n\n
Copilot not only provides researchers with relevant links to research papers but also summarizes them to save time and effort. Users can add papers of their choice to extract data and can ask the tool to specify the content of the documents or explain certain paragraphs, the whole paper, or specific portions.
SciSpace uses open AI and Anthropic as foundational models to break down complex problems into sub-tasks and sub-modules. The startup also has its proprietary models that help fine-tune the results. These proprietary models enable SciSpace to offer capabilities beyond providing summaries. For instance, if users struggle to understand a math problem or an equation, Copilot comes in handy.<\/p>\n\n\n\n
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