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.
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D&B Connect
Your first-party data can be used to unlock its full potential. D&B Connect is a self-service, customizable master data management solution that can scale. D&B Connect's family of products can help you eliminate data silos and bring all your data together. Our database contains hundreds of millions records that can be used to enrich, cleanse, and benchmark your data. This creates a single, interconnected source of truth that empowers teams to make better business decisions. With data you can trust, you can drive growth and lower risk. Your sales and marketing teams will be able to align territories with a complete view of account relationships if they have a solid data foundation. Reduce internal conflict and confusion caused by incomplete or poor data. Segmentation and targeting should be strengthened. Personalization and quality of marketing-sourced leads can be improved. Increase accuracy in reporting and ROI analysis.
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Dandelion API
Detect references to locations, individuals, brands, and events within various documents and social media platforms. Effortlessly gather further information regarding these entities. Categorize multilingual texts into established, predefined classifications or create a personalized classification system in just a few minutes. Assess whether the sentiment conveyed in brief texts, such as product reviews, is positive, negative, or neutral. Automatically pinpoint significant, contextually relevant concepts and key phrases in articles and social media updates. Analyze two pieces of text to determine their syntactic and semantic resemblance. Recognize when two texts pertain to the same topic. Extract clean textual content from newspapers, blogs, and other online sources, stripping away boilerplate and advertisements to obtain the full text of the article along with its images. This process not only enhances the readability of the extracted content but also ensures that the most pertinent information is highlighted.
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NewsCatcher
NewsCatcher addresses the frustrations of inconsistent news data and poor integration. We provide clean, normalized, near-real-time articles from 70,000+ global sources, including hyper-local coverage. Covering over 98% of each website, we extract all essential data points, ensuring you get the critical information you need.
We enrich this data by adding sentiment scores, detecting named entities, summarizing, classifying, deduplicating, and clustering similar articles. This maximizes the value of news content while reducing post-processing time and costs.
NewsCatcher helps enterprises seamlessly integrate news insights into workflows by building custom pipelines with LLM fine-tuning, resulting in a clean, relevant feed with a low false-positive rate.
Customers gain full transparency into our data collection and the models we use. We offer monitoring services to ensure customers understand our system’s operation and responsiveness to new data sources, including detailed explanations of the models and embeddings applied.
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