AskEdith
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AskEdith is an AI-driven data assistant designed to aid business leaders and decision-makers in comprehending their data by linking and searching through all their cloud data. It connects with more than a hundred different data sources and lets users pose questions directly to harness their data's potential. It works seamlessly with databases, CRMs, ERPs, and other applications. Additionally, AskEdith participates in events like AI & Big Data Expo, ODSC West, and PrestoCon to assist businesses in gaining deeper insights into their data.
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Cubby is an adaptable collaborative research platform that provides a private space for users to store a variety of content types, including articles, PDFs, videos, and audio, sourced from the internet or personal devices. It allows users to annotate content, access automatic transcription for audio and video, and synthesize information through AI-driven features, such as summary generation and insightful query responses. Cubby is ideal for individuals looking to streamline research, improve team collaboration, and seamlessly incorporate insights into their workflow, making it especially beneficial for researchers, students, and professionals managing large amounts of information across different formats.
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Petal is an AI-powered tool designed to connect users with their personal knowledge bases, ensuring precise and dependable answers. It offers a centralized hub for documents and can automatically extract and eliminate duplicate metadata. Additionally, it includes collaboration features such as annotation and shareable links. With over 20,000 researchers and industry professionals relying on it, Petal is available for free.
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Inari is an AI-driven platform designed for customer feedback management, enabling teams to automate the processes of feedback analysis, generating insights, and managing backlogs. It consolidates both unstructured and structured customer feedback into a single hub, offering an efficient workflow for handling the data. The tool automatically assesses customer sentiment and highlights key requests, issues, praise, and insights obtained from user interviews. Inari also uncovers product insights, visualizes trends in real-time, and allows users to directly associate customers with requests, questions, behaviors, and other insights. Moreover, Inari can send insights, summaries, and backlog requests directly to applications like Slack, JIRA, and Linear.