Best Artificial Intelligence Software for Quickwork - Page 5
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Compare the Top Artificial Intelligence Software that integrates with Quickwork as of December 2025 - Page 5
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This a list of Artificial Intelligence software that integrates with Quickwork. Use the filters on the left to add additional filters for products that have integrations with Quickwork. View the products that work with Quickwork in the table below.
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1
Wit.ai
Wit.ai
Enable people to interact with your products using voice and text. Easily create bots that people can chat with on their preferred messaging platform. Make multimodal interaction available to anyone, anywhere through the apps you create. Enable people to use their voices to control smart speakers, appliances, lighting and more. Create customizable experiences for people, whether they're at home or on the go. -
2
LUIS
Microsoft
Language Understanding (LUIS): A machine learning-based service to build natural language into apps, bots, and IoT devices. Quickly create enterprise-ready, custom models that continuously improve. Add natural language to your apps. Designed to identify valuable information in conversations, LUIS interprets user goals (intents) and distills valuable information from sentences (entities), for a high quality, nuanced language model. LUIS integrates seamlessly with the Azure Bot Service, making it easy to create a sophisticated bot. Powerful developer tools are combined with customizable pre-built apps and entity dictionaries, such as Calendar, Music, and Devices, so you can build and deploy a solution more quickly. Dictionaries are mined from the collective knowledge of the web and supply billions of entries, helping your model to correctly identify valuable information from user conversations. Active learning is used to continuously improve the quality of the models. -
3
Vize by Ximilar
Ximilar
Use deep learning algorithms with the highest accuracy on the market. Implement cutting-edge vision automation faster with no development costs. Create powerful and custom image recognizers in intuitive web interface. We always improve the underlying machine learning algorithms so you are up-to-date. Train custom neural network to recognize your specific images. Ximilar, industry leader in Visual AI an Search, acquired Vize, made it better, faster, and added business-critical features. Go to Ximilar Homepage to discover our services. -
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Nanonets
Nanonets
Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning. At Nanonets, we serve up the most accurate models. Always. -
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The IBM Watson® Tone Analyzer uses linguistic analysis to detect emotional and language tones in written text. Watson Tone Analyzer can analyze tone at both the document and sentence levels. You can use the service to understand how your written communications are perceived and then to improve the tone of your communications. Businesses can use the service to learn the tone of their customers' communications and to respond to each customer appropriately, or to understand and improve their customer conversations. In this tutorial, you will learn how to use IBM Cloud Functions and cognitive and data services to build a serverless back end for a mobile application. Analyze emotions and tones in what people write online, like tweets or reviews. Predict whether they are happy, sad, confident, and more. Enable your chatbot to detect customer tones so you can build dialog strategies to adjust the conversation accordingly.
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6
Nuclia
Nuclia
The AI search engine delivers the right answers from your text, documents and video. Get 100% out-of-the-box AI search and generative answers from your documents, texts, and videos while keeping your data privacy intact. Nuclia automatically indexes your unstructured data from any internal and external source, providing optimized search results and generative answers. It can handle video and audio transcription, image content extraction, and document parsing. Allow your users to search your data not only by keywords but also using natural language, in almost any language, and get the right answers. Effortlessly generate AI search results and answers from any data source. Use our low-code web component to integrate Nuclia’s AI-powered search in any application or use our open SDK to create your own front-end. Integrate Nuclia in your application in less than a minute. Choose the way to upload data to Nuclia from any source, in any language, in almost any format. -
7
Rosette
Basis Technology
An adaptable platform for text analysis and discovery. Built for the most demanding text analytics applications and engineered to deliver high accuracy without sacrificing speed. A fully adaptable platform that is an ideal foundation for natural language processing applications. Text analytics fundamentals to prepare your data for analysis. Language-specific tools for tokenization, part-of-speech tagging, lemmatization, decompounding, and Chinese and Japanese readings for your input. Every language, including English, presents unique and difficult challenges for search applications to deliver relevant and precise results. Rosette® Base Linguistics (RBL) enables enterprise applications to effectively search or process text in many languages by providing a complete set of linguistic services. RBL enriches the original text in its native language for best-of-class natural language processing, improving speed and accuracy. -
8
ArangoDB
ArangoDB
Natively store data for graph, document and search needs. Utilize feature-rich access with one query language. Map data natively to the database and access it with the best patterns for the job – traversals, joins, search, ranking, geospatial, aggregations – you name it. Polyglot persistence without the costs. Easily design, scale and adapt your architectures to changing needs and with much less effort. Combine the flexibility of JSON with semantic search and graph technology for next generation feature extraction even for large datasets. -
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Caplena
Caplena
• Categorize Themes • Visualize Results • Topic-Level Sentiment Analysis • Powered by Collaborative AI Caplena is a customer feedback tool that uses augmented intelligence to help market researchers, CX professionals, and consultants uncover deep insights from their open-ended text. Caplena’s story began when co-founders, Maurice and Pascal, realized that most market research firms that handle customer feedback face the same issue: Too many open ends and not enough time to accurately analyze them. Since its inception in the Spring of 2018, Caplena has analyzed over 50 million responses, with 120 new projects added each week. Today Caplena is the text analytics tool of choice for over 100 companies in more than 15 countries, boasting customers such as Swisscom, eBay, DHL, Coop, and Joyn. -
10
LTM-1
Magic AI
Magic’s LTM-1 enables 50x larger context windows than transformers. Magic's trained a Large Language Model (LLM) that’s able to take in the gigantic amounts of context when generating suggestions. For our coding assistant, this means Magic can now see your entire repository of code. Larger context windows can allow AI models to reference more explicit, factual information and their own action history. We hope to be able to utilize this research to improve reliability and coherence. -
11
Rev.ai
Rev.ai
Rev.ai was built by leading speech recognition experts from millions of hours of accurate human-transcribed content. We began in 2011 with Rev.com, providing human transcription services. We are now the world's largest transcription vendor, with over 35,000 contractors who transcribe millions of minutes of audio each month. In 2017 we launched Temi, an automated speech-to-text transcription and editing service. Temi has already transcribed 20 million minutes of content and was named the best transcription service by Wirecutter. Today our best-in-class speech engine is available to everyone as Rev.ai. We're helping companies get the most out of their audio and video content by making it searchable and accessible. -
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Amazon Comprehend
Amazon
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required. There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale. Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data.
