Alternatives to Klassifier

Deep Talk provides a rapid solution for converting text from various sources such as chats, emails, surveys, reviews, and social media into actionable business intelligence. Our user-friendly AI platform allows you to delve into customer communications effortlessly. Utilizing unsupervised deep learning models, we analyze your unstructured text data to uncover valuable insights. Our specialized "Deepers" are pre-trained deep learning models designed for customized detection within your information. With the "Deepers" API, you can perform real-time text analysis and tag conversations or text effectively. This enables you to connect with individuals who are interested in your product, seek new features, or voice their concerns. Furthermore, Deep Talk delivers cloud-based deep learning models as a service, making it simple for users to upload their data or integrate with supported services. By doing so, you can extract comprehensive insights and valuable information from platforms like WhatsApp, chat discussions, emails, surveys, and social networks. This transformative approach ensures that your business can stay ahead by understanding customer needs and sentiments with ease.

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.

BIS, a company that has 35 years of experience in developing and delivering innovative technology, built Grooper from the ground up. Grooper is an intelligent data processing and digital data integration tool that allows organizations to extract meaningful information out of paper/electronic documents, and other unstructured data. The platform combines advanced image processing, capture technology and machine learning with optical character recognition to enrich data and embed human comprehension. Grooper is a foundation for many industry-first solutions, including in healthcare, financial services and education.

PolyAnalyst, a data analysis tool, is used by large companies in many industries (Insurance Manufacturing, Finance, etc.). It uses a visual composer to simplify complex data analysis modeling instead of programming/coding. This is one of its most distinctive features. It can combine structured and poly-structured data for unified analysis (multiple-choice questions and open ended responses), and it can process text data from over 16+ languages. PolyAnalyst provides many features to meet comprehensive data analysis requirements, including the ability to load data, cleanse and prepare data for analysis, deploy machine learning and supervised analytics techniques, and create reports that non-analysts may use to uncover insights.

Manage text data effortlessly with a no-code interface that comprehends natural language, leaving spreadsheets behind. Unlike traditional spreadsheets that lack an understanding of language nuances, SimpleX leverages your comprehension and its own advanced capabilities. Say goodbye to convoluted queries and technical jargon; here, artificial intelligence operates seamlessly behind an easy-to-navigate interface. Experience a tenfold increase in the speed of analyzing free text responses. Quickly import, tag, classify, and sort numerous quotes in mere seconds, as our AI takes care of the intricate work. Generate instant treemaps or word clouds that can be directly integrated into your presentations, alongside organized exports filled with valuable insights. With the ability to natively comprehend and process 50 languages, even in mixed formats, it can handle up to 10,000 text responses, including quotes, feedback, and reviews. Thanks to AI-driven analytical tools, it extracts insights at ten times the usual speed, accomplishing real-time tasks that once seemed exclusive to human effort. This sophisticated AI solution is not only powerful but also user-friendly, transforming how you interact with text data.

Document processing can be complicated but it doesn't need to be. Intelligent document processing platform that can understand what you are trying to find, extract and categorize. Infinia ML uses machine-learning to quickly understand context and the relationships between words and charts. We can help you achieve your goals with our machine learning capabilities. Machine learning can help you make better business decisions. We tailor your code to your business problem, uncovering hidden insights and making accurate predictions to help your zero in on success. Our intelligent document processing solutions don't work by magic. They are based on decades of experience and advanced technology.

A platform for Machine Learning and Predictive Analytics enhances data-driven decision-making and propels business growth through sophisticated artificial intelligence within an integrated machine learning and big data analytics framework. OpenText Magellan leverages AI technologies to deliver predictive analytics through user-friendly and adaptable data visualizations that enhance the utility of business intelligence. The implementation of artificial intelligence software streamlines the big data processing task, providing essential business insights in a format that aligns with the organization’s most significant goals. By enriching business operations with a tailored combination of features such as predictive modeling, data exploration tools, data mining methods, and IoT data analytics, companies can effectively utilize their data to refine their decision-making processes based on actionable business intelligence and analytics. This comprehensive approach not only improves operational efficiency but also fosters a culture of data-driven innovation within the organization.

Explore the capabilities of text analytics and NLP software libraries that can be deployed on-premise or integrated seamlessly into your systems. You can incorporate Salience into your enterprise business intelligence framework or even customize it for your own data analytics solutions. With the ability to handle up to 200 tweets per second, Salience efficiently scales from individual cores to extensive data center infrastructures while maintaining a compact memory footprint. Choose from Java, Python, or .NET/C# bindings for user-friendly integration, or opt for the native C/C++ interface to achieve peak performance. Gain comprehensive control over the foundational technology, allowing you to fine-tune every aspect of text analytics and NLP functions, including tokenization, part of speech tagging, sentiment analysis, categorization, and thematic exploration. The platform is designed around a pipeline model consisting of NLP rules and machine learning algorithms, enabling you to pinpoint issues in the process easily. You can modify specific features without affecting the overall system's integrity. Moreover, Salience operates entirely on your own servers while remaining adaptable enough to transfer non-sensitive data to cloud environments, offering both security and versatility for your analytics needs. This flexibility empowers organizations to leverage advanced analytics features while ensuring data privacy and performance efficiency.

Cauliflower can process feedback and comments for any type of service or product. Cauliflower uses Artificial Intelligence (AI) to identify the most important topics, evaluate them, and establish relationships. Machine learning models in-house developed for extracting content and evaluating sentiment. Intuitive dashboards that offer filter options and drill-downs. You can use included variables to indicate language, weight, ID and time. In the dropdown, you can define your own filter variables. Cauliflower can translate the results into a common language if necessary. Instead of reading customer feedback sporadically and quoting individual opinions, define a company-wide language.

Artificio is a groundbreaking automation solution created by Artificio Products Inc, aimed at transforming the process of data management and removing the need for manual data entry. This advanced software leverages the latest advancements in AI and machine learning technologies to extract, categorize, verify, and merge unstructured data from various formats such as text documents, PDFs, and images. By turning unstructured information into structured formats, Artificio enables organizations to fully harness the capabilities of digital intelligence, ultimately enhancing decision-making and operational efficiency. As businesses increasingly rely on data-driven insights, tools like Artificio become essential for staying competitive in a rapidly evolving landscape.

Semantria (natural language processing) API is offered by Lexalytics, a leader in enterprise sentiment analysis and text analysis since 2004. Semantria provides multi-layered sentiment analysis, categorization and entity recognition, theme analysis as well as intention detection, summarization, and summary in an easy to integrate RESTful API package. Semantria can be customized through graphical configuration tools. It supports 24 languages and can be deployed across public, private and hybrid clouds. Semantria scales easily from single servers to entire data centres and back again to meet your processing needs. Integrate Semantria for powerful, flexible text analytics and natural word processing capabilities to cloud-based data analysis products or enterprise business intelligence infrastructure. To create a complete business intelligence platform, you can add Lexalytics storage or visualization tools to store, manage, analyze, and visualize text documents.

Scraawl is an innovative suite of analytics tools aimed at helping you derive deeper insights from your datasets. Whether your focus lies in analyzing public data, multimedia content, unstructured text, or a combination of these elements, Scraawl offers robust capabilities to elevate your analytical efforts. Utilizing advanced artificial intelligence and machine learning methodologies, Scraawl delivers actionable insights that enhance your analysis process. Our dedicated team comprises developers, researchers, and data scientists who are committed to providing state-of-the-art analytics solutions. One of our flagship offerings, Scraawl SocL®, is a user-friendly, web-based tool designed for enterprise-level PAI listening and analytics. This platform effectively uncovers, examines, and visualizes online discussions and news data, equipping users with comprehensive 360-degree evaluations. With Scraawl, you can confidently navigate and interpret the complexities of data-driven insights.

Effortlessly create sophisticated predictive models without the need for mathematics or programming, all in just a few simple clicks. Our comprehensive solution takes you through the entire process, from data cleansing to model construction and prediction generation, ensuring you have everything you need. You can feel secure in your decisions, as we provide insights into the rationale behind AI-driven choices, empowering your business with actionable data insights. Experience the ease of data analytics within minutes, eliminating the necessity for coding. Our streamlined approach allows you to build machine learning algorithms, interpret results, and forecast outcomes with just a single click. Transition from raw data to valuable analytics seamlessly, without writing any code. Just upload your dataset, pose questions in everyday language, and receive the most effective model tailored to your data, which you can then easily share with others. Enhance customer productivity significantly, as we assist companies in harnessing no-code machine learning to elevate their customer experience and satisfaction levels. By simplifying the process, we enable organizations to focus on what truly matters—building strong relationships with their clients.

Intelligent document processing streamlines the management of data contained within documents by contextualizing, comprehending, extracting, and directing the information appropriately. Acodis enables you to accomplish all these tasks in mere seconds. The abundance of unstructured data embedded in documents is a persistent challenge, which is precisely why Acodis was created—to facilitate data extraction from any document, regardless of language. Achieve structured data retrieval from any document utilizing machine learning in just seconds. You can easily construct and merge document processing workflows with just a few clicks, eliminating the need for any coding. After capturing and automating your document data, you can seamlessly integrate this process into your current systems. Acodis boasts a user-friendly interface, which empowers your team to automate document-related tasks and allows for quicker decision-making backed by machine learning. Leverage the REST client in your preferred programming language to integrate with your existing business applications. This flexibility ensures that your document processing capabilities can evolve alongside your business needs.

Collaborative text analytics for machine-learning and human. We offer a variety of multilingual, text mining and data science features, as well as human annotation and machine-learning capabilities. DiscoverText provides a variety of cloud-based software tools that allow users to quickly and accurately analyze large amounts of text data. Our customers use DiscoverText to sort unstructured text commonly found in market research. They also include associated metadata such as customer feedback platforms, CRMs and chats. Discover why we are ranked #1 in text, metadata, social network analysis support, and trusted by hundreds academic research groups. Machine-learning sifters can be created in just hours or minutes by crowdsourcing. We provide an API and support technical integrations to SurveyMonkey and Twitter.

Ingenia transforms your content into meaningful insights with a personalized approach. Utilizing cutting-edge machine learning algorithms, it organizes the material sent through our API by identifying distinct patterns that link your content to your chosen tags. Custom-fit to your needs, Ingenia allows you to move beyond generic classifications, enabling you to select the most relevant categories for your material, which it will learn and adapt to. You have the flexibility to modify these tags whenever you wish, ensuring that you retain full control over the process. Moreover, as your categorization needs evolve, Ingenia seamlessly updates itself to reflect these changes, sparing you from the hassle of manual adjustments and keeping your content organized in a dynamic manner. This means you can focus more on creating content while Ingenia manages the categorization effortlessly.

Watson Natural Language Understanding is a cloud-native solution that leverages deep learning techniques to derive metadata from text, including entities, keywords, categories, sentiment, emotions, relationships, and syntactic structures. Delve into the topics within your data through text analysis, which enables the extraction of keywords, concepts, categories, and more. The service supports the analysis of unstructured data across over thirteen different languages. With ready-to-use machine learning models for text mining, it delivers a remarkable level of accuracy for your content. You can implement Watson Natural Language Understanding either behind your firewall or on any cloud platform of your choice. Customize Watson to grasp the specific language of your business and pull tailored insights using Watson Knowledge Studio. Your data ownership is preserved, as we prioritize the security and confidentiality of your information, ensuring that IBM will neither collect nor store your data. By employing our sophisticated natural language processing (NLP) tools, developers are equipped to process and uncover valuable insights from their unstructured data, ultimately enhancing decision-making capabilities. This innovative approach not only streamlines data analysis but also empowers organizations to harness the full potential of their information assets.

Take charge of your analytics with the premier Machine Learning-as-a-Service platform designed for unstructured social media and voice-of-customer text analysis. Our skilled professionals are equipped to assist you in creating sophisticated, tailored social models that effectively leverage, deploy, generalize, and utilize your data. Ensure that your social listening efforts align with top-tier AI strategies that promote transparency, accuracy, and fairness. Whether you're new to social listening or looking to enhance the effectiveness of your existing solutions, our highly experienced team is here to support you on your journey. You possess the data, and now it's time to uncover vital insights. We offer a diverse array of leading programmatic insight solutions powered by our advanced AI classifiers. Select from an extensive library of prebuilt machine learning models tailored to various industries for swift deployment. It's crucial to confirm that your models are not inadvertently biased or inaccurate. Gain a comprehensive understanding of each model's performance before putting them into action, ensuring your analytics are both reliable and effective. Our commitment is to empower you in making informed decisions that drive meaningful results.

Advancements in machine learning have led to significant breakthroughs in both business applications and research, impacting areas such as network security and medical diagnostics. To empower a broader audience to achieve similar innovations, we developed the Tensor Processing Unit (TPU). This custom-built machine learning ASIC is the backbone of Google services like Translate, Photos, Search, Assistant, and Gmail. By leveraging the TPU alongside machine learning, companies can enhance their success, particularly when scaling operations. The Cloud TPU is engineered to execute state-of-the-art machine learning models and AI services seamlessly within Google Cloud. With a custom high-speed network delivering over 100 petaflops of performance in a single pod, the computational capabilities available can revolutionize your business or lead to groundbreaking research discoveries. Training machine learning models resembles the process of compiling code: it requires frequent updates, and efficiency is key. As applications are developed, deployed, and improved, ML models must undergo continuous training to keep pace with evolving demands and functionalities. Ultimately, leveraging these advanced tools can position your organization at the forefront of innovation.

Amazon SageMaker Canvas democratizes access to machine learning by equipping business analysts with an intuitive visual interface that enables them to independently create precise ML predictions without needing prior ML knowledge or coding skills. This user-friendly point-and-click interface facilitates the connection, preparation, analysis, and exploration of data, simplifying the process of constructing ML models and producing reliable predictions. Users can effortlessly build ML models to conduct what-if scenarios and generate both individual and bulk predictions with minimal effort. The platform enhances teamwork between business analysts and data scientists, allowing for the seamless sharing, reviewing, and updating of ML models across different tools. Additionally, users can import ML models from various sources and obtain predictions directly within Amazon SageMaker Canvas. With this tool, you can draw data from diverse origins, specify the outcomes you wish to forecast, and automatically prepare as well as examine your data, enabling a swift and straightforward model-building experience. Ultimately, this capability allows users to analyze their models and yield accurate predictions, fostering a more data-driven decision-making culture across organizations.

It enables efficient training on Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances powered by AWS Trainium. Additionally, for model deployment, it facilitates both high-performance and low-latency inference utilizing AWS Inferentia-based Amazon EC2 Inf1 instances along with AWS Inferentia2-based Amazon EC2 Inf2 instances. With the Neuron SDK, users can leverage widely-used frameworks like TensorFlow and PyTorch to effectively train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal alterations to their code and no reliance on vendor-specific tools. The integration of the AWS Neuron SDK with these frameworks allows for seamless continuation of existing workflows, requiring only minor code adjustments to get started. For those involved in distributed model training, the Neuron SDK also accommodates libraries such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP), enhancing its versatility and scalability for various ML tasks. By providing robust support for these frameworks and libraries, it significantly streamlines the process of developing and deploying advanced machine learning solutions.

The entire process of machine learning and computer vision is streamlined and expedited through a single no-code platform. Sense empowers users to create and implement AI IoT solutions across various environments, whether in the cloud, at the edge, or on-premises. Discover how Sense delivers ease, consistency, and transparency for AI/ML teams, providing robust capabilities for machine learning engineers while remaining accessible for subject matter experts. With Sense Data Annotation, you can enhance your machine learning models by efficiently labeling video and image data, ensuring the creation of high-quality training datasets. The platform also features one-touch labeling integration, promoting ongoing machine learning at the edge and simplifying the management of all your AI applications, thereby maximizing efficiency and effectiveness. This comprehensive approach makes Sense an invaluable tool for a wide range of users, regardless of their technical background.

Amazon Textract is a sophisticated, fully managed machine learning service that goes beyond basic optical character recognition (OCR) to automatically extract text and data from scanned documents, including forms and tables. In today's fast-paced business environment, many organizations rely on either time-consuming manual data entry, which is both costly and error-prone, or on basic OCR software that requires frequent manual adjustments whenever forms are updated. To eliminate these cumbersome processes, Textract leverages advanced machine learning techniques to swiftly read and analyze various document types, delivering precise extraction of text, forms, tables, and additional data without necessitating any manual input or custom programming. By using Textract, businesses can streamline and automate their document processing tasks, allowing them to handle millions of pages in just a matter of hours, significantly enhancing operational efficiency. This shift not only saves time but also reduces the likelihood of human error, paving the way for more accurate and reliable data handling.

Kimola Cognitive is a highly reliable Machine Learning Platform that empowers individuals to automatically extract reviews from over 20 different channels and analyze and categorize customer feedback or any other textual data. These are the top features of Kimola Cognitive: Gather reviews by scraping the web Conduct text analysis and entity recognition with drag and drop Analyze data with ready-made models found on the Kimola Cognitive Gallery Create, train, and store custom machine learning models without coding Generate executive summaries, SWOT analyses, and other impactful marketing materials utilizing GPT Integration Accessible in six languages and increasing

MonkeyLearn simplifies the process of cleaning, labeling, and visualizing customer feedback by offering everything you need in one comprehensive platform, enhanced by advanced Artificial Intelligence technology. This all-in-one text analysis and data visualization solution provides immediate insights when you conduct analyses on your data. You can utilize pre-existing machine learning models or create and train your custom models without any coding. Our templates are specifically designed for various business situations and come with ready-made text analysis models and dashboards. You can pinpoint the topics and interests that are most relevant to your target audience. By leveraging precise analyses of customer sentiments and opinions, you can implement effective demand generation and sales strategies. Analyze your survey results based on requests, intent, and sentiment to gain deeper insights beyond what the survey was initially designed to capture. Moreover, this approach allows businesses to make data-driven decisions that can significantly enhance their engagement strategies.

Transform your knowledge into machine learning models to streamline text-based processes efficiently, achieving human-like quality at scale. You can create custom models from the ground up, fine-tune our premier models for your specific needs, or utilize Primer's pre-built models directly. With Primer Automate, individuals across your organization can develop and train models without needing any programming or technical background. Enhance your data with a structured intelligence layer to establish a scalable knowledge base that can analyze billions of documents in mere seconds. Quickly uncover answers to essential inquiries, keep track of updates in real-time, and effortlessly generate clear, concise reports. Process all forms of communication, including documents, emails, PDFs, text messages, and social media platforms, to extract the most relevant information. Primer Extract leverages advanced machine learning technologies to facilitate rapid and extensive data exploration. Beyond simple keyword searches, Extract also encompasses powerful features such as translation, optical character recognition (OCR), and image recognition, making it a comprehensive solution for data analysis. This allows organizations to harness the full potential of their information efficiently.

Dcipher Analytics offers a cutting-edge, no-code, comprehensive SaaS text analytics platform designed to empower domain experts without technical backgrounds. This innovative platform enhances the speed at which analysts can derive insights, train models, and automate their workflows. At its core, Dcipher Analytics features a distinctive architecture and a proprietary query language specifically designed to handle complex nested data structures, such as text. As a premier solution for extracting value from unstructured text data, Dcipher Analytics stands out in the market. Whether you need a versatile tool, an API for integration, or actionable insights, you've found the ideal resource. The platform allows you to analyze customer communications—like emails, reviews, and chat logs—enabling you to pinpoint issues and enhance customer satisfaction. Additionally, it helps in creating more pertinent FAQs, expediting chatbot training, and mining social media to gain insights into consumer preferences and emerging trends, thus supporting marketing and product development initiatives effectively. Overall, Dcipher Analytics transforms the way organizations leverage text data for strategic decision-making.

OpenText™, Unstructured Data Analytics Products use AI and machine learning in order to help organizations discover and leverage key insights that are hidden deep within unstructured data such as text, audio, videos, and images. Organizations can connect their data at scale to understand the context and content locked in high-growth, unstructured content. Unified text, speech and video analytics support over 1,500 data formats to help you uncover insights within all types media. Use OCR, natural language processing and other AI models to track and understand the meaning of unstructured data. Use the latest innovations in deep neural networks and machine learning to understand spoken and written language in data. This will reveal greater insights.

SAS Text Miner allows for the extraction of insights from a variety of text documents, revealing underlying themes and concepts. This tool effectively integrates quantitative data with unstructured text, merging text mining with conventional data mining approaches. As part of the SAS® Enterprise Miner suite, it necessitates that SAS Enterprise Miner is installed on the same system. Additionally, SAS High-Performance Text Mining can operate on either a computer grid or a single machine equipped with multiple CPUs. The text algorithms employed are designed to be multi-threaded and work in-memory, significantly enhancing both responsiveness and concurrency while minimizing input/output strain. Users can access SAS Text Miner as nodes within the SAS High-Performance Data Mining framework or utilize it through the procedures PROC HPTMINE and PROC HPTMSCORE. To quickly grasp SAS technology, individuals can benefit from courses offered by analytics professionals, ensuring they gain a comprehensive understanding of the tools available. Enhancing one’s knowledge in this area can lead to greater proficiency in data analysis and mining techniques.

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.

Medallia allows users to engage in thoughtful and systematic ways through targeted surveys that are both digital and traditional. Our easy-to-implement survey solutions will ensure that you are gathering relevant and actionable data to make measurable customer impacts. Medallia's AI technology uses machine-learning to analyze structured and unstructured customer survey data. It can uncover sentiment, predict behavior, identify commonalities, and recommend actions to improve customer experiences. Create the most effective surveys to improve customer journeys. You can quickly manage innovation and change in every aspect of your experience management program, from design to emails, questions, and translations. Medallia surveys enable you to

Effortlessly manage, process, and transform CAD, FE, CFD, and test data with ease. Establish automatic data pipelines for machine learning, reduced order modeling, and 3D deep learning applications. Eliminate the complexity of data science without the need for coding. Key Ward's platform stands out as the pioneering end-to-end no-code engineering solution, fundamentally changing the way engineers work with their data, whether it be experimental or CAx. By harnessing the power of engineering data intelligence, our software empowers engineers to seamlessly navigate their multi-source data, extracting immediate value through integrated advanced analytics tools while also allowing for the custom development of machine learning and deep learning models, all within a single platform with just a few clicks. Centralize, update, extract, sort, clean, and prepare your diverse data sources for thorough analysis, machine learning, or deep learning applications automatically. Additionally, leverage our sophisticated analytics tools on your experimental and simulation data to uncover correlations, discover dependencies, and reveal underlying patterns that can drive innovation in engineering processes. Ultimately, this approach streamlines workflows, enhancing productivity and enabling more informed decision-making in engineering endeavors.

For nearly ten years, Babel Street has established itself as a frontrunner in the industry with its innovative AI-driven analytics platform, which equips teams with essential insights for effective analysis, strategic action, and achieving mission success on a unified interface. The company employs cutting-edge linguistics technology to extract and interpret actionable insights, acting as a significant force multiplier that supports customer initiatives globally. By swiftly enriching and transforming all publicly accessible or customer-supplied data, Babel Street ensures that valuable insights are readily available. Its AI-powered, persistent search capability spans over 200 languages worldwide, facilitating the discovery, enrichment, and translation of the most pertinent insights regardless of their source or language. Featuring one of the largest proprietary ontologies globally, the platform transcends basic machine translation, capturing critical nuances that enhance understanding. In addition, Babel Street's analytics platform serves as a comprehensive gateway that provides a seamless end-to-end experience for enriching digital data and converting it into actionable knowledge. With its commitment to innovation and excellence, Babel Street continues to redefine the landscape of data analytics.

Enterprises need to have the right insights to make informed decisions and serve customers. This is why silos are so common in large volumes of data, including invoices, physical contracts, applications, as well as other data. 80% of enterprise data is still unstructured and traditional methods have not been able to move the needle towards automation. This information can be used to transform the customer journey, from loan application through onboarding. Imagine if you could automatically analyze the unstructured data that entered your organization, including emails, statements, customer data, and contracts. Instabase powers solutions that drive revenue across all industries, including banking and insurance as well as healthcare and federal government. You can swap between the best deep learning models available from Instabase and the marketplace; you can also host and manage third-party models on the platform. Transform the cost base and revolutionize how you serve customers.

MeaningCloud is the easiest, most cost-effective, and most cost-effective way to extract meaning from unstructured content (articles, documents, social conversations, etc.). We offer text analytics products that provide the most accurate insights possible from any content in any language. We do it both SaaS-based and on-prem. We have worked in a variety of industries, including pharma, finance, media and retail. We develop tailored and industry-specific solutions. Our scenarios include: * Insight extraction * Analysis of the voice and opinions of the customer, employee or citizen. (User experience analytics and customer experience analytics in general. * Intelligent document automation Our APIs are free to use (20,000 API calls per year). Get our add-ins for Excel or Google sheets. Our integrations with Dataiku RapidMiner, Automation Anywhere, and Automation Anywhere as well as our SDKs (PHP, Python, Java and JavaScript) are available.

Kraken caters to a wide range of users, from analysts to data scientists, by providing a user-friendly, no-code automated machine learning platform. It is designed to streamline and automate various data science processes, including data preparation, cleaning, algorithm selection, model training, and deployment. With a focus on making these tasks accessible, Kraken is particularly beneficial for analysts and engineers who may have some experience in data analysis. The platform’s intuitive, no-code interface and integrated SONAR© training empower users to evolve into citizen data scientists effortlessly. For data scientists, advanced functionalities enhance productivity and efficiency. Whether your routine involves using Excel or flat files for reporting or conducting ad-hoc analysis, Kraken simplifies the model-building process with features like drag-and-drop CSV uploads and an Amazon S3 connector. Additionally, the Data Connectors in Kraken enable seamless integration with various data warehouses, business intelligence tools, and cloud storage solutions, ensuring that users can work with their preferred data sources effortlessly. This versatility makes Kraken an indispensable tool for anyone looking to leverage machine learning without requiring extensive coding knowledge.

Altair is utilized by data scientists and business analysts to extract actionable insights from their datasets. Knowledge Studio offers a leading, user-friendly machine learning and predictive analytics platform that swiftly visualizes data while providing clear, explainable outcomes without necessitating any coding. As a prominent figure in analytics, Knowledge Studio enhances transparency and automates machine learning processes through features like AutoML and explainable AI, all while allowing users the flexibility to configure and fine-tune their models, thus maintaining control over the building process. The platform fosters collaboration throughout the organization, enabling data professionals to tackle intricate projects in a matter of minutes or hours rather than dragging them out for weeks or months. The results produced are straightforward and easily articulated, allowing stakeholders to grasp the findings effortlessly. Furthermore, the combination of user-friendliness and the automation of various modeling steps empowers data scientists to create an increased number of machine learning models more swiftly than with traditional coding methods or other available tools. This efficiency not only shortens project timelines but also enhances overall productivity across teams.

The Clarabridge Platform consolidates various Voice of the Customer (VoC) data, as well as customer feedback and interactions, into one cohesive system. Utilizing advanced AI-driven speech and text analytics alongside top-tier Natural Language Understanding (NLU), it assesses the dialogues occurring between your customers and employees daily across phone calls, live chats, private messages, and social media channels. With Clarabridge, you receive prompt insights into how easy it is for customers to engage with your business (Effort), their loyalty and emotional responses, the underlying reasons for changes in Net Promoter Score (NPS), as well as issues related to customer churn or increased contact volumes. The insights provided by Clarabridge enable swift decision-making, prompt actions, and effective tracking of outcomes. By collaborating with Clarabridge, you gain access to solutions specifically designed for enhancing customer experiences, supported by a state-of-the-art AI-powered text analytics engine, facilitating a transition from confusion to clarity to fully comprehend each customer engagement. As the only platform that effectively captures customer sentiments, Clarabridge empowers businesses to enhance their customer relationships.

Luminoso transforms unstructured text data to business-critical insights. We empower organizations to interpret and act on the information people give us by using common-sense artificial intelligence. Luminoso requires little setup, maintenance or training. It also doesn't require any data input. Luminoso combines the world's best natural language understanding technology with a vast knowledgebase to learn words from context - just like humans - and accurately analyze text in minutes instead of months. Our software offers native support in more than a dozen languages so leaders can quickly explore data relationships, make sense out of feedback, and triage queries to drive value. Luminoso, a privately held company, is headquartered in Boston MA.

Manage and optimize models throughout the entire ML lifecycle. This includes experiment tracking, monitoring production models, and more. The platform was designed to meet the demands of large enterprise teams that deploy ML at scale. It supports any deployment strategy, whether it is private cloud, hybrid, or on-premise servers. Add two lines of code into your notebook or script to start tracking your experiments. It works with any machine-learning library and for any task. To understand differences in model performance, you can easily compare code, hyperparameters and metrics. Monitor your models from training to production. You can get alerts when something is wrong and debug your model to fix it. You can increase productivity, collaboration, visibility, and visibility among data scientists, data science groups, and even business stakeholders.

Unlock significant insights through the precise identification of objects within images and videos. AI technology can enhance value in numerous ways, from monitoring individuals in real-time at various events to ensuring products are correctly positioned on store shelves. By categorizing image objects into pertinent segments, comprehensive analyses can be performed. For instance, insurers can utilize AI algorithms to evaluate damage to homes and vehicles, leading to more precise claims for policyholders. This technology offers immediate insights that facilitate timely decision-making when it is most critical. AI algorithms also support real-time processing for a wide range of applications, including facial recognition. Additionally, understanding customer behavior becomes more feasible by analyzing their actions from video feeds, both inside retail environments and during live events. This capability allows businesses to better understand how customers engage with their products and brands, ultimately improving overall experiences. Moreover, AI-driven analytics on satellite imagery can be employed to monitor traffic conditions in real-time, evaluate parking lot usage, and categorize building structures more effectively. This multifaceted approach illustrates the diverse potential applications of AI in various industries.

Your contact center represents a significant, often overlooked asset for your organization, serving as a continuous source of valuable insights from customer interactions. PrediCX is an innovative AI platform designed to harness this potential by providing predictive insights and automating processes across various communication channels to improve both customer experience and service efficiency. By leveraging AI, businesses can extract predictive insights from every interaction, regardless of the medium used, enabling tailored recommendations that drive profitability and enhance customer satisfaction. The system offers timely alerts for emerging issues, facilitates automatic coaching, and conducts quality assurance for agents throughout their engagements. Urgent inquiries and complaints can be prioritized effectively, guiding customers towards the most suitable resources. Unlike traditional methods that rely on keywords, AI in PrediCX utilizes conceptual understanding to accurately analyze incoming feedback, ensuring that no customer opinion is neglected. It automates the triage of queries from digital platforms, classifies them efficiently, supports agents in real-time, and boosts the capabilities of chatbots for improved service delivery. This approach not only streamlines operations but also fosters a culture of responsiveness and continuous improvement in customer interactions.

A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.

The platform offered by Descartes Labs is tailored to tackle some of the most intricate and urgent questions in geospatial analytics today. Users leverage this robust platform to create algorithms and models that enhance their business operations in a swift, efficient, and budget-friendly manner. By equipping both data scientists and business professionals with top-tier geospatial data and comprehensive modeling tools in a single solution, we facilitate the integration of AI as a fundamental skill set within organizations. Data science teams benefit from our scalable infrastructure, enabling them to develop models at unprecedented speeds, utilizing either our extensive data archive or their proprietary datasets. Our cloud-based platform empowers customers to seamlessly and securely scale their computer vision, statistical, and machine learning models, providing vital raster-based analytics to guide critical business decisions. Additionally, we offer a wealth of resources, including detailed API documentation, tutorials, guides, and demonstrations, which serve as an invaluable repository of knowledge, enabling users to efficiently implement high-impact applications across a variety of sectors. This comprehensive support ensures that users can fully harness the potential of the platform, driving innovation and growth in their respective industries.

Transform the way you view time in data analytics. With the ability to access your business data almost instantly, you can operate directly from your dashboard without the need to consult the IT team repeatedly. Introducing Indexima DataHub, a revolutionary environment that empowers both operational and functional users to obtain immediate access to their data. Through an innovative fusion of a specialized indexing engine and machine learning capabilities, Indexima enables organizations to streamline and accelerate their analytics processes. Designed for robustness and scalability, this solution allows companies to execute queries on vast amounts of data—potentially up to tens of billions of rows—in mere milliseconds. The Indexima platform facilitates instant analytics on all your data with just a single click. Additionally, thanks to Indexima's new ROI and TCO calculator, you can discover the return on investment for your data platform in just 30 seconds, taking into account infrastructure costs, project deployment duration, and data engineering expenses while enhancing your analytical capabilities. Experience the future of data analytics and unlock unprecedented efficiency in your operations.

Amazon SageMaker Model Training streamlines the process of training and fine-tuning machine learning (ML) models at scale, significantly cutting down both time and costs while eliminating the need for infrastructure management. Users can leverage top-tier ML compute infrastructure, benefiting from SageMaker’s capability to seamlessly scale from a single GPU to thousands, adapting to demand as necessary. The pay-as-you-go model enables more effective management of training expenses, making it easier to keep costs in check. To accelerate the training of deep learning models, SageMaker’s distributed training libraries can divide extensive models and datasets across multiple AWS GPU instances, while also supporting third-party libraries like DeepSpeed, Horovod, or Megatron for added flexibility. Additionally, you can efficiently allocate system resources by choosing from a diverse range of GPUs and CPUs, including the powerful P4d.24xl instances, which are currently the fastest cloud training options available. With just one click, you can specify data locations and the desired SageMaker instances, simplifying the entire setup process for users. This user-friendly approach makes it accessible for both newcomers and experienced data scientists to maximize their ML training capabilities.

Experience the entire journey of developing machine learning algorithms and forecasting results with just a single click. Not every dataset is inherently suitable for machine learning; leverage the Data Dialog to effortlessly refine your data without the hassle of file manipulation. You can easily distribute your prediction reports among your team or make them publicly accessible, allowing anyone to engage with your model and generate predictions. Integrate dynamic ML predictions directly into your application through our user-friendly low-code API. Assess factors like willingness to pay, evaluate leads, and more, all in real-time. Obviously AI equips you with the latest groundbreaking algorithms while ensuring top-notch performance is maintained. You can now accurately forecast revenue, streamline supply chains, and tailor marketing efforts to individual needs. With just a CSV upload or a quick integration with your preferred data sources, you can select your prediction column from a convenient dropdown menu and watch as we automatically construct the AI for you. Additionally, enjoy beautifully crafted visualizations of predicted outcomes, identify key influencers, and explore "what-if" scenarios to better understand potential futures. This innovative approach transforms the way you interact with data and make predictions.

The premier platform designed for the complete computer vision process allows you to evolve from image annotation to precise neural networks at speeds up to ten times quicker. Utilizing our exceptional data labeling tools, you can convert your images, videos, and 3D point clouds into top-notch training data. This enables you to train your models, monitor experiments, visualize results, and consistently enhance model predictions, all while constructing custom solutions within a unified environment. Our self-hosted option ensures data confidentiality, offers robust customization features, and facilitates seamless integration with your existing technology stack. This comprehensive solution for computer vision encompasses multi-format data annotation and management, large-scale quality control, and neural network training within an all-in-one platform. Crafted by data scientists for their peers, this powerful video labeling tool draws inspiration from professional video editing software and is tailored for machine learning applications and beyond. With our platform, you can streamline your workflow and significantly improve the efficiency of your computer vision projects.

Developing responsible AI is fundamentally a business challenge rather than merely a technological one. To tackle this comprehensive issue, we unite teams on a single platform that helps to lessen risks, maximize your capabilities, and transform aspirations into tangible outcomes. By integrating every phase of your AI/ML journey with our cloud-based governance tools, GovernML serves as the essential launchpad for fostering effective AI/ML systems. Our platform offers intuitive workflows that meticulously document your entire AI journey in one consolidated location. This approach not only aids in risk management but also positively impacts your financial performance. Monitaur enhances this experience by providing cloud-based governance applications that monitor your AI/ML models from their initial policies to tangible evidence of their effectiveness. Our SOC 2 Type II certification further strengthens your AI governance while offering customized solutions within a single, cohesive platform. With GovernML, you can be assured of embracing responsible AI/ML systems, all while benefiting from scalable and user-friendly workflows that capture the complete lifecycle of your AI initiatives on one platform. This integration fosters collaboration and innovation across your organization, driving success in your AI endeavors.

CORE serves as a robust computing platform designed for various applications, delivering exceptional performance. Its intuitive point-and-click interface allows users to quickly begin their tasks with minimal hassle. Users can execute even the most resource-intensive applications seamlessly. CORE provides virtually unlimited computing capabilities on demand, enabling users to reap the advantages of cloud technology without incurring hefty expenses. The team version of CORE includes powerful features for organizing, filtering, creating, and connecting users, machines, and networks. Gaining a comprehensive overview of your infrastructure is now simpler than ever, thanks to its user-friendly and straightforward GUI. The management console is both simple and powerful, facilitating tasks such as integrating VPNs or Active Directory effortlessly. What once required days or weeks can now be accomplished in mere moments, transforming complex network setups into manageable tasks. Moreover, CORE is trusted by some of the most innovative organizations globally, underscoring its reliability and effectiveness. This makes it an invaluable asset for teams looking to enhance their computing capabilities and streamline operations.