Alternatives to Adarga

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.

Bright Data holds the title of the leading platform for web data, proxies, and data scraping solutions globally. Various entities, including Fortune 500 companies, educational institutions, and small enterprises, depend on Bright Data's offerings to gather essential public web data efficiently, reliably, and flexibly, enabling them to conduct research, monitor trends, analyze information, and make well-informed decisions. With a customer base exceeding 20,000 and spanning nearly all sectors, Bright Data's services cater to a diverse range of needs. Its offerings include user-friendly, no-code data solutions for business owners, as well as a sophisticated proxy and scraping framework tailored for developers and IT specialists. What sets Bright Data apart is its ability to deliver a cost-effective method for rapid and stable public web data collection at scale, seamlessly converting unstructured data into structured formats, and providing an exceptional customer experience—all while ensuring full transparency and compliance with regulations. This commitment to excellence has made Bright Data an essential tool for organizations seeking to leverage web data for strategic advantages.

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.

Semeon helps you to understand and prioritize large-scale customer, employee, and marketplace feedback data from any source, including social, reviews, and CRM data. Our platform automatically extracts multi-word concepts relevant to your data, measures sentiment, and generates insightful dashboards. Semeon technology is available in more than 10 languages. Government entities, security and defense agencies, brands, and organizations around the globe rely on it to improve customer experience, citizens' lives, reduce operational costs, and drive growth.

Our platform for comparative text analysis, rooted in a commitment to online child safety, helps unlock significant business insights from your existing text data. Relative Insight’s innovative technology empowers marketing professionals and brand experts to enhance the value derived from their text resources. By employing a comparative methodology, we facilitate the rapid generation of in-depth audience insights at scale, enriching your qualitative analysis with a level of sophistication and rigor. With these unique marketing insights, brands have the potential to refine their communications, optimize brand positioning, and create more impactful campaigns. Our platform streamlines the process of interpreting and leveraging unstructured data, significantly cutting down your analysis time. Additionally, this methodology is applicable to a variety of primary research formats, including interviews, focus groups, and videos, revealing the wealth of data you may not even realize you have. Relative Insight also allows for direct comparisons of your brand messaging with that of your competitors, ensuring you remain competitive in your market. By exploring these insights, brands can better connect with their audiences and drive engagement.

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

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.

Reestablishing human leadership in automation, DeepSee enables knowledge workers to harness AI methodologies to convert data into significant business resources. This initiative addresses genuine challenges faced by individuals. With knowledge being a vital asset, it is crucial to provide subject-matter experts with effective tools to navigate the overwhelming influx of information for achieving business objectives. To facilitate this, DeepSee developed the Knowledge Process Automation (KPA) platform, which effectively mines unstructured data, translates AI-driven insights into operational strategies, and ensures that outcomes translate into immediate actions for enterprises. By returning extensive expertise and AI capabilities to the workforce, DeepSee empowers organizations across various industries. In today’s competitive landscape, excelling in performance goes beyond merely monitoring key performance indicators; it requires a deep comprehension of trends, forecasts, and anomalies. The DeepSee platform not only extracts and processes hidden data but also transforms it into essential competitive insights in real time, thereby simplifying the transition from analysis to actionable results. This approach ultimately fosters a more agile and informed decision-making process within enterprises.

Our advanced systems intelligently collect diverse, high-quality unstructured data from numerous sources, encompassing text, audio, images, and video formats. This data is meticulously cleaned and utilized to extract valuable insights related to various products, services, attributes, brands, customer sentiments, market dynamics, and emerging trends. Leveraging our proprietary Deep Product Learning ® technology, this information is effectively synthesized and contextualized. You can utilize our enterprise-grade integrations to seamlessly incorporate your private data. Furthermore, evaluate and compare your perspective on your products and services against the competitive landscape. The platform enables powerful, AI-driven actions where you need them—through dashboards, APIs, and integrations—transforming insights into actionable strategies across PIMs, CRMs, voice assistants, chatbots, and beyond, ultimately enhancing your business decision-making processes. In doing so, your organization can stay ahead of the competition and adapt to the ever-changing market demands.

Restructured is an innovative platform that leverages artificial intelligence to assist companies in deriving insights from vast amounts of unstructured data. It effectively handles a variety of formats, including documents, images, audio, and video, by integrating large language model capabilities with sophisticated search and retrieval techniques, allowing it to index and comprehend information within its contextual framework. By converting extensive datasets into practical insights, Restructured simplifies the navigation and analysis of intricate data, thereby enhancing decision-making processes. As a result, businesses can respond more swiftly and accurately to emerging trends and challenges.

All enterprise data must be integrated, managed, secured, and analyzed. Data is a valuable asset for organizations. There is a lot of it. Structured data such as log files, spreadsheets, tables, and charts. Unstructured data such as emails, documents, images, videos, and spreadsheets. These data are often stored in disconnected systems where they quickly diversify in type and increase in volume, making it more difficult to use each day. People who depend on this data don’t think in terms if rows, columns, or just plain text. They think about their organization's mission, and the challenges they face. They want to be able to ask questions about their data, and get answers in a language that they understand. The Palantir Gotham Platform is your solution. Palantir Gotham combines and transforms any type of data into one coherent data asset. The platform enriches and maps data into meaningfully defined objects, people, places, and events.

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.

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.

Capture, analyze, and recognize not just various document types but also the essential business information within them, all through automated processes. Tackle Ai seamlessly manages structured and unstructured documents, along with complex images, eliminating the need for human involvement. This innovative solution empowers organizations to achieve a deeper and more insightful comprehension of their data while significantly lowering both labor costs and document management expenses. Tasks that previously took hours or even days can now be accomplished in mere seconds, all at a fraction of the traditional costs. It automatically detects crucial information, grasps the context surrounding that information, and differentiates between various documents. The system operates at high speed, processing 10,000 documents in moments, and requires no additional training for employees on new software. Furthermore, it can efficiently handle a wide range of client needs, including automatic redaction, data extraction, and auto-filing, making it an invaluable tool for any business. With its advanced capabilities, Tackle Ai not only streamlines operations but also enhances overall productivity.

Respond to customer perceptions more rapidly than ever before by uncovering and prioritizing your key brand drivers. Evaluate your brand equity in comparison to competitors and identify emerging trends within your industry. Ensure your marketing strategies and positioning align with current trends while gaining insights into your customers' beliefs. Communicate effectively by resonating with their language and understanding how shifts in customer perceptions influence your brand. Utilizing the power of Artificial Intelligence, our analytics platform examines billions of customer opinions from diverse data sources in real-time to highlight the topics that matter most to consumers. Clootrack expertly differentiates between valuable reviews and trivial remarks, while also grasping the emotional weight behind opinions to pinpoint customers’ urgent needs with clarity. This comprehensive understanding empowers brands to adapt and thrive in a constantly evolving market landscape.

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.

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.

Analyze data, share insights, and build your research library. Find opportunities and be a hero within your team. You can find patterns using a variety qualitative research methods, unstructured data, or video files. Dovetail is an analysis program you will love to use. Dovetail can be used to identify patterns in interviews, usability testing, surveys responses, and many other areas. Drag & drop intuitive controls make it easy to organize tags into a hierarchy. You can also add global tags to your project. You can transform qualitative data into quantitative data by adding highlights and visualize your work using a variety of charts. To add tags, simply highlight text and select the text. Transcribe video recordings to find patterns in interviews, usability tests, survey answers, and many other things. Turn qualitative data into quantitative data. You can filter, segment, and chart themes across transcripts, interview notes, survey responses, among other things.

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.

The TextRazor API provides an efficient and precise means of uncovering the Who, What, Why, and How within your news articles. It features capabilities such as Entity Extraction, Disambiguation, and Linking, alongside Keyphrase Extraction, Automatic Topic Tagging, and Classification, supporting twelve different languages. This tool performs an in-depth analysis of your content, allowing for the extraction of Relations, Typed Dependencies between terms, and Synonyms, which empowers the development of advanced semantic applications that are context-aware. Furthermore, it enables the swift extraction of custom entities like products and companies, allowing users to create specific rules for tagging their content with personalized categories. TextRazor comprises a versatile text analysis infrastructure that can be utilized either via the cloud or through self-hosting. By integrating cutting-edge natural language processing techniques with an extensive repository of factual information, TextRazor aids in quickly deriving valuable insights from your documents, tweets, or web pages, making it an indispensable tool for content creators and analysts alike. This comprehensive approach ensures that users can maximize the effectiveness of their data processing and analysis efforts.

s360 is the ultimate life underwriting platform that you will ever require. It serves as a comprehensive underwriting workspace seamlessly linked to automated underwriting processes, predictive analytics, telephonic and video interviews, expedited underwriting, and API-connected paramedical exam report gathering, allowing you to maintain full oversight of your case workflow while functioning smoothly and independently. Gain profound insights into underwriting as the platform is built with a strong emphasis on data. It adeptly converts your medical unstructured data into organized, actionable insights. With a wide array of risk assessment tools at your disposal—including predictive models, interviews, automated underwriting, accelerated UDW, lab tests, and detailed underwriting manuals—this platform offers an impressive suite of features to enhance your underwriting experience. Its ability to integrate various data sources makes it a powerful tool for informed decision-making in life underwriting.

Transform a vast array of complex data from various origins into actionable insights almost instantly, enabling well-informed decision-making. Swiftly uncover concealed relationships and essential trends hidden within a mix of internal, external, and open-source information. Discover the capabilities of i2’s exceptional intelligence analysis software firsthand. By requesting a demo, you can explore how to reveal vital connections and insights more rapidly than ever before. Monitor essential operations within law enforcement, fraud detection, financial crime, military defense, and the national security intelligence sectors using the i2 intelligence analysis platform. Gather and integrate both structured and unstructured data from a multitude of sources, encompassing OSINT and dark web information, to create a comprehensive data reservoir for exploration and discovery. Combine cutting-edge analytics with advanced geospatial, visual, graph, temporal, and social analysis techniques, empowering analysts with enhanced situational awareness and a clearer understanding of complex scenarios. The i2 platform is designed to streamline the process of intelligence gathering, ultimately leading to more strategic outcomes across various fields.

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

We leverage Artificial Intelligence to streamline the classification of unstructured data efficiently. Our platform offers a comprehensive overview of document sensitivity across different sectors of your organization. With user-friendly visualizations, you can easily pinpoint which departments manage the most sensitive data and observe the distribution percentages. This enables you to make well-informed decisions to protect your most critical assets. Harness AI to categorize and label millions of documents effectively. The dashboard provides real-time analytics and statistics, ensuring you stay updated. Our advanced classification technology allows you to accurately determine who accesses sensitive documents, where this access occurs, and how it is managed within your organization. Utilizing our intuitive web platform, you can uncover patterns in user behavior and identify the areas with the greatest access to sensitive information. This unprecedented level of control over your data security is at your fingertips. Furthermore, our solution is fully adaptable to your business terminology and continuously improves its classification accuracy through self-learning processes. This ensures that your organization remains agile and responsive to evolving data security needs.

Canvs AI is an insight platform that transforms open-ended texts from surveys, social media and transcripts into conversational intelligence. It can also be used to analyze product reviews and other information such as product reviews and product reviews. Canvs is used worldwide by some of the most respected brands, research agencies, media and entertainment companies to speed up time-to-insights and deepen understanding of audience. It also reduces the cost of analysis. Automate the analysis and interpretation of open-ended text to quickly uncover consumer insights with deep emotional context and high analytical confidence. Canvs' intuitive and easy-to-use insights portal allows you to quickly explore, filter and compare your findings. You can also generate stunning data visualizations. Automate the coding of attribute, recall, and awareness questions. Quickly identify and categorize sentiments and emotions associated with respondents and responses.

Enterpret empowers businesses to effectively analyze customer feedback on a large scale. We address intricate challenges in areas such as NLP, machine learning operations, analytics, and data visualization. Our mission revolves around alleviating customer pain points by continuously identifying and addressing their most significant challenges. Our achievements reflect our aspirations, as we set ambitious targets and commit to reaching them. Any setbacks we experience serve as valuable lessons that drive our improvement. Our comprehensive system for interpreting customer feedback guarantees that you prioritize building the most essential features first. By integrating user feedback with behavioral segments, you can optimize your processes and reduce the time needed for conducting user interviews and surveys, ultimately enhancing your product development strategy. This approach not only streamlines your efforts but also strengthens your connection with your customer base.

Coactive transforms data-driven enterprises by organizing chaotic data and empowering analysts to harness the potential of image and video information effectively. By delivering unparalleled insights, user-friendliness, and rapid processing speeds, we turn machine learning into your most powerful asset. Say goodbye to the tedious task of sifting through countless photos or videos; instead, simply use a keyword or phrase to navigate your content library and enhance your content classification. As your data continually changes, Coactive stands ready to assist you. With our API and Python SDKs, you can seamlessly track and comprehend your incoming data. Coactive is committed to upholding integrity while advancing sales, ensuring that both the company and its customers reap the rewards. Our advanced AI platform is designed for businesses of all sizes, allowing them to analyze unstructured image data in mere minutes. Featuring a sleek, intuitive interface, our platform is not only remarkably fast but also exceptionally easy to use, making it accessible for everyone. With Coactive, the future of data analysis is at your fingertips, empowering you to leverage insights like never before.

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.

Every day, a vast quantity of publicly accessible unstructured data is generated across the open, deep, and dark web. For any investigation, the capability to extract immediate and actionable insights from this extensive data pool is essential. VoyagerAnalytics serves as an AI-driven analysis platform, specifically designed to sift through large volumes of unstructured data from various sources, including the open, deep, and dark web, as well as internal datasets, to uncover valuable insights. This platform empowers investigators to discover social dynamics and hidden relationships between various entities, directing attention to the most pertinent leads and essential information amid a sea of unstructured data. By streamlining the processes of data collection, analysis, and intelligent visualization, it significantly reduces the time usually required for these tasks, which could otherwise take months. Furthermore, it delivers the most crucial and significant insights in almost real-time, thereby conserving the resources that would typically be allocated to the retrieval, processing, and examination of extensive unstructured data sets. Ultimately, this innovation enhances the effectiveness and efficiency of investigations.

Xtract Data Automation Suite (XDAS) is a comprehensive platform designed to streamline process automation for data-intensive workflows. It offers a vast library of over 300 pre-built micro solutions and AI agents, enabling businesses to design and orchestrate AI-driven workflows with no code environment, thereby enhancing operational efficiency and accelerating digital transformation. By leveraging these tools, XDAS helps businesses ensure compliance, reduce time to market, enhance data accuracy, and forecast market trends across various industries.

SparkCognition, an industrial AI company, has created a natural language processing solution that automates the workflows of unstructured data within companies so that humans can concentrate on high-value business decisions. DeepNLP uses machine learning to automate the retrieval, classification, and analysis of information. DeepNLP integrates with existing workflows to allow organizations to respond more quickly to changes in their businesses and get quick answers to specific queries.

DataChain serves as a bridge between unstructured data found in cloud storage and AI models alongside APIs, facilitating immediate data insights by utilizing foundational models and API interactions to swiftly analyze unstructured files stored in various locations. Its Python-centric framework significantly enhances development speed, enabling a tenfold increase in productivity by eliminating SQL data silos and facilitating seamless data manipulation in Python. Furthermore, DataChain prioritizes dataset versioning, ensuring traceability and complete reproducibility for every dataset, which fosters effective collaboration among team members while maintaining data integrity. The platform empowers users to conduct analyses right where their data resides, keeping raw data intact in storage solutions like S3, GCP, Azure, or local environments, while metadata can be stored in less efficient data warehouses. DataChain provides versatile tools and integrations that are agnostic to cloud environments for both data storage and computation. Additionally, users can efficiently query their unstructured multi-modal data, implement smart AI filters to refine datasets for training, and capture snapshots of their unstructured data along with the code used for data selection and any associated metadata. This capability enhances user control over data management, making it an invaluable asset for data-intensive projects.

Accelerate your product decision-making process five times faster with BuildBetter's innovative Signal Engine, which transforms qualitative data through efficient search, extraction, organization, and summarization. Experience a remarkable 78% increase in insights derived from customer feedback when compared to teams relying on traditional manual research methods. This represents a significant advancement in qualitative analysis. On average, you can save 200 hours annually by systematically organizing customer insights into relevant topics, themes, and issues. Our exceptional summarization capabilities provide insights that are so effective, they almost seem effortless. From summarizing calls and feature requests to anything else BuildBetter can analyze, we convert complex data into easily shareable insights. With our proprietary Call Intelligence, powered by the Signal Engine, you can meticulously track and evaluate every call directed to your product team, ensuring no valuable information slips through the cracks. Embrace a new era of decision-making with BuildBetter, where actionable insights are just a click away.

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.

Sorcero is an innovative platform powered by artificial intelligence that aims to convert intricate medical data into practical insights for the life sciences sector. It offers a range of products such as Medical Insights Management, Intelligent Publication Monitoring, Plain Language Summaries, and Intelligent Systematic Literature Review, all of which work together to unify and interpret both structured and unstructured data from diverse sources. By leveraging AI to dissect medical themes, notes, and research findings, Sorcero provides clear and high-quality responses to challenging medical inquiries, thereby assisting teams in Medical Affairs, Pharmacovigilance, and Regulatory Affairs in making better-informed choices. The platform enhances rapid literature monitoring, facilitates content creation, and supports evidence-based decision-making, significantly improving patient outcomes while also streamlining operational processes. Additionally, Sorcero's capabilities can lead to a more effective collaboration among various stakeholders within the healthcare ecosystem.

Searching for actionable insights within a mass of unstructured data is akin to finding a needle in a haystack. Our skilled technicians excel at identifying subtle trends and patterns woven into that complex fabric. By systematically gathering, cataloging, annotating, and integrating the data, we transform it into a clear and accessible format that aids in making crucial decisions. This process enables us to generate outcomes that reveal actionable insights, paving the way for business expansion. At Visible Systems, we recognize that conventional data analysis tools are tailored to handle data presented in specific formats, yet much of the data we encounter is shapeless, arising from diverse sources. Through data discovery, we have the capability to consolidate and reformat this information from multiple origins, facilitating more efficient analysis. This ensures that the data is presented in an appropriate format, thereby guaranteeing timely and effective deliverables. Furthermore, we acknowledge that the process of data discovery is ongoing, and both historical and newly acquired data hold significant value in driving informed decision-making. Ultimately, our commitment to refining data ensures that businesses can leverage insights from every piece of information available.

At Iris.ai we have spent the last 6 years building an award-winning AI engine for scientific text understanding. Our algorithms for text similarity, tabular data extraction, domain-specific entity representation learning and entity disambiguation and linking measure up to the best in the world. On top of that, our machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it and also give feedback to the system. The Iris.ai Researcher Workspace is a flexible tool suite that allows to approach a project in a variety of ways. Modules include content based explorative search, machine analysis of document sets, extracting and systematizing data points, automatically writing summaries of multiple documents - and very powerful filters based on context descriptions, the machine’s analysis, or specific data points or entities. The Iris.ai engine for scientific text understanding is a powerful interdisciplinary system that can be automatically reinforced on a specific research field for much more nuanced machine understanding - without human training or annotation.

Our advanced natural language processing technology harnesses the power of AI to capture, analyze, and visualize insights from all forms of customer communication. This includes call transcriptions, chat conversations, emails, support tickets, return claims, social media interactions, and surveys, all supported in 47 languages. With Explorer, users can quickly analyze open-ended text responses in just a few minutes. Additionally, Explorer features an API that enables seamless integration of unstructured text data into your business intelligence systems. The field of employee experience focuses on analyzing and identifying the elements that contribute to employee satisfaction and motivation. Our offerings empower businesses to efficiently process, analyze, and derive meaning from vast amounts of unstructured natural language data in a fraction of the usual time. The platform is designed to be user-friendly, allowing you to create custom bots tailored to your specific business requirements without any coding knowledge necessary. You can achieve immediate efficiency improvements within just minutes of setup. Moreover, the Gavagai API provides a suite of semantic analysis tools that support 47 languages, allowing for immediate access to user-friendly endpoints. This robust capability ensures that organizations can effectively leverage insights from their data to enhance decision-making processes.

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.

Software to analyze qualitative data. CAQDAS for coding in qualitative research. Together with your team, analyze transcripts from focus groups and in-depth interviews. Delve is a software that analyzes qualitative data. It is an easy-to-use, collaborative online qualitative analysis software that allows you to quickly find robust, human insights. Delve allows you to deliver more thorough research reports without sacrificing speed.

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.

Developing a topic model from the ground up requires a high level of programming skill. This specialized knowledge can be costly and often overshadows the essential understanding of the data itself. The process of manually labeling your training data is not only time-consuming but also labor-intensive and expensive. Outsourcing this task to low-wage workers may expedite the process and reduce costs, yet it often sacrifices both accuracy and detail. Each of these methods results in a static taxonomy that can be challenging to adapt over time. It's crucial to transition away from mere tagging and empower subject matter experts to engage with their data for modeling and analysis. With vast amounts of text data at your disposal, brimming with insights ready for exploration, the need for effective tools becomes clear. Pienso is here to assist with this challenge by enabling you to train models using your own data, as we recognize that this approach yields the best results. Regardless of whether your data is unstructured, semi-structured, lengthy, or concise, Pienso is equipped to help you transform it into valuable insights that can drive decision-making. By leveraging Pienso, you can unlock the full potential of your data without the traditional hurdles associated with topic modeling.

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.

KlearStack automates invoice processing without the need for templates and eliminates the tedious task of manually entering unstructured documents. Our mission is to automate tedious manual processes and tedious data entry so that humans can be freed up for more creative and intelligent tasks. Organizations can use unstructured data to gain competitive advantage. This is done by unlocking the useful information in semi-structured and unstructured documents. KlearStack's AI provides the best solutions to automate these processes that involve unstructured data. Invoice Automation Automate your Purchase Order Receipt Capture Consumer Durable Loans Multi-Vendor Trade Finance Process Automation Two-wheeler Loan Automation Autonomous Loan Process for Used Cars Our proprietary template-less AI/ML technology means that you no longer need to spend hundreds of hours designing and maintaining templates. Increase productivity by up to 200

Supametas.AI is a cutting-edge platform that converts unstructured data into organized formats that are compatible with large language models (LLMs) and retrieval-augmented generation (RAG) systems. This innovative tool aims to streamline the processes of data collection, construction, and preprocessing tailored for specific industries, enabling businesses to avoid the intricacies of complicated data cleaning tasks. Additionally, users can transform data from a variety of sources, including APIs, URLs, local files, images, audio, and video, into JSON and Markdown formats, which can then be effortlessly incorporated into LLM RAG knowledge bases. This capability not only enhances data accessibility but also empowers companies to make more informed decisions based on their data assets.

Acquire profound and comprehensive understanding of your unstructured enterprise data to assess risks, lessen threats and vulnerabilities, and facilitate improved business decisions. Systematically classify, label, and arrange unstructured data on an enterprise-wide level. Foster swift, precise, and thorough identification of sensitive and high-risk files while providing in-depth insights through artificial intelligence. Ensure ongoing visibility into both newly generated and pre-existing unstructured data. Implement policy, compliance, and governance measures without the need for user manual input. Reveal hidden data while systematically classifying and organizing sensitive content and other data categories at scale, allowing for informed decisions regarding data migration strategies. Moreover, the platform supports both basic and complex file transfers across nearly any cloud service, network file system, or legacy ECM platform, all at a large scale, enhancing operational efficiency and data management. This holistic approach empowers organizations to not only manage their data effectively but also harness it for strategic advantage.

Forcepoint Data Classification utilizes advanced Machine Learning (ML) and Artificial Intelligence (AI) to enhance the precision of classifying unstructured data, thereby boosting your team's productivity, minimizing false alerts, and improving data loss prevention. By harnessing AI-driven insights, this approach revolutionizes data classification, allowing for precise and efficient categorization of data on a large scale. With the most extensive range of data types covered in the industry, it enhances operational efficiency and simplifies compliance, while also providing superior protection for organizational data assets. This solution accelerates the data classification process, leading to a decrease in false positives and allowing teams to focus more on genuine data security threats. Forcepoint equips organizations to discover, classify, monitor, and safeguard their data through a comprehensive suite of data security tools. Moreover, it offers a holistic perspective on unstructured data throughout the organization, ensuring no critical information is overlooked. Ultimately, this capability empowers businesses to respond swiftly and effectively to data management challenges.

Numerous customers of Amazon Web Services (AWS) seek a data storage and analytics solution that surpasses the agility and flexibility of conventional data management systems. A data lake has emerged as an innovative and increasingly favored method for storing and analyzing data, as it enables organizations to handle various data types from diverse sources, all within a unified repository that accommodates both structured and unstructured data. The AWS Cloud supplies essential components necessary for customers to create a secure, adaptable, and economical data lake. These components comprise AWS managed services designed to assist in the ingestion, storage, discovery, processing, and analysis of both structured and unstructured data. To aid our customers in constructing their data lakes, AWS provides a comprehensive data lake solution, which serves as an automated reference implementation that establishes a highly available and cost-efficient data lake architecture on the AWS Cloud, complete with an intuitive console for searching and requesting datasets. Furthermore, this solution not only enhances data accessibility but also streamlines the overall data management process for organizations.

AI-powered classification can enhance your DLP cross-channel. Proofpoint Intelligent Classification & Protection is an AI-powered solution for classifying your critical business data. It accelerates your enterprise DLP program by recommending actions based on the risk. Our Intelligent Classification and Protection Solution helps you understand unstructured data at a fraction of what it takes with traditional approaches. It categorizes your files using an AI-model that has been pre-trained. It does this for both cloud-based and on-premises file repositories. Our two-dimensional classification gives you the business context and level of confidentiality you need to protect your data better in today's hybrid environment.

The Wolfram Data Science Platform provides the ability to work with both structured and unstructured data, whether it is static or streaming in real-time. By leveraging the capabilities of WDF alongside the same linguistic framework found in Wolfram|Alpha, users can transform unstructured data into a structured format through either automated processes or guided assistance for disambiguation and destructuring. This platform employs advanced database connection technologies to integrate content from various databases into its versatile symbolic representation. Able to natively interpret hundreds of data formats, the Wolfram Data Science Platform facilitates conversion across diverse data types. It accommodates a wide range of data types, including images, text, networks, geometry, sounds, and GIS data, among others. Utilizing the innovative symbolic data representation inherent in the Wolfram Language, the platform can effortlessly manage both SQL-style and NoSQL data structures. Additionally, the Wolfram Data Science Platform automatically generates a comprehensive interactive report, applying algorithms that identify and visualize key features of the dataset, making data analysis more intuitive and informative. This feature-rich environment empowers users to extract deeper insights from their data effectively.