A powerful data analysis and visualization platform specifically designed for market research data. Harmoni can do it all, from data processing to analysis, reporting and visualization, as well as distribution, alerts and distribution. Spend less time processing data and more time analysing it. Harmoni automates your job. Harmoni makes it easy to share valuable and actionable insights with stakeholders. Although market research budgets are shrinking in number, expectations are increasing. Harmoni allows you to slice and dice data as the questions are asked. Harmoni allows you to combine multiple data sources into one usable set. Harmoni supports many data sources including IBM SPSS®, SQL and Microsoft Excel, CSV, tab delimited files, Dimensions and more. Harmoni is integrated with popular market research platforms such as Voxco and FocusVision Decipher.
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An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.
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Elicit
Streamline labor-intensive research activities such as condensing scholarly articles, gathering data, and integrating your results. Pose a research inquiry and receive a compilation of pertinent studies from our extensive repository of 200 million publications. Obtain concise one-sentence abstracts for quick insight. Choose relevant articles and explore additional ones that share similarities. Organize extracted information from studies into a structured table for easier analysis. Generate a list of desired insights synthesized from multiple papers, identifying overarching themes and ideas throughout the collection. Accomplish data extraction from papers in half the time and at a reduced cost compared to manual methods. Utilize natural language to navigate through 200 million academic articles effectively. Gather information from papers, summarize key concepts, and implement tailored workflows and data sources. Elicit employs advanced language models to facilitate data extraction and summarization of research papers. While this innovative technology can sometimes produce inaccurate information, we continuously refine our models for specific tasks and regularly update them to enhance accuracy and reliability. Ultimately, our goal is to empower researchers with efficient tools that significantly reduce the time spent on literature reviews and data analysis.
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Crescis
Crescis serves as an advanced research assistant fueled by AI technology, capable of producing citation-ready literature reviews from your uploaded PDFs or by conducting intelligent searches through millions of academic articles. It efficiently finds pertinent open-access research papers, distilling intricate studies into straightforward insights and categorizing sources into well-structured collections. With the ability to generate impeccable citations in various formats, including APA, MLA, and Chicago, it allows users to compile their findings into drafts of literature reviews that are ready for editing. By integrating search, retrieval, summarization, organization, and citation functionalities within a single platform, Crescis empowers students, researchers, and professionals to transform disparate sources into cohesive academic writing with unprecedented speed, ease, and precision. This innovative tool not only streamlines the research process but also enhances the overall quality of scholarly work.
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