Qloo
Qloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.
Learn more
ThinkAutomation
Create automations that work for your business. ThinkAutomation gives you an open-ended studio that allows you to create any automated workflow you need. All this without any volume restrictions and without having to pay per process, license, or 'robot.
Learn more
Google Cloud Natural Language API
Leverage advanced machine learning techniques for thorough text analysis that can extract, interpret, and securely store textual data. With AutoML, you can create top-tier custom machine learning models effortlessly, without writing any code. Implement natural language understanding through the Natural Language API to enhance your applications. Utilize entity analysis to pinpoint and categorize various fields in documents, such as emails, chats, and social media interactions, followed by sentiment analysis to gauge customer feedback and derive actionable insights for product improvements and user experience. The Natural Language API, combined with speech-to-text capabilities, can also provide valuable insights from audio sources. Additionally, the Vision API enhances your capabilities with optical character recognition (OCR) for digitizing scanned documents. The Translation API further enables sentiment understanding across diverse languages. With custom entity extraction, you can identify specialized entities within your documents that may not be recognized by standard models, saving both time and resources on manual processing. Ultimately, you can train your own high-quality machine learning models to effectively classify, extract, and assess sentiment, making your analysis more targeted and efficient. This comprehensive approach ensures a robust understanding of textual and audio data, empowering businesses with deeper insights.
Learn more
VizRefra
Text analysis with viztext 2D and 3D mapping text analysis topic modelling, sentiment analysis, wordcloud. Unique machine learning algorithm that visualizes topics in the text you are trying to find. Text analysis allows topic modeling with navigation through 2D/3D maps. This framework uses referential features to create logical relational topic analyses using zoom-in/zoom-out features on 2D/ 3D maps, including colorful word clouds. Analyzes the sentiment level in the text using a pie chart that shows the ratio of positive, neutral and negative. Graphs highlight the top entities in the text by displaying percentages and highlights. Drag and drop, upload text files or paste text from social media posts. Or enter the HTTP address to find a website that contains the text article you wish to analyze.
Learn more
