Alternatives to QDA Miner

SPC for Excel, a simple but powerful package, to handle all your SPC and statistical analysis needs. SPC for Excel software allows you to identify problem areas, gain insight into your data, spot trends and solve problems. All this in Excel. From the novice to the black belt, SPC for Excel will facilitate your process improvement efforts – in any industry – profit or non-profit. Get all the techniques you need for your charting and analysis – including Pareto diagrams, Histogram, Control Charts, Gage R&R, Process Capability, Distribution Fitting, Data Transformation, Regression, DOE, Hypothesis Testing, and more! One time payment – yours forever. Two downloads per user and free Technical support. Try out our Demo – see how easy it is! Process Capability analysis - to meet customer needs Control charts and histograms - to manage processes Gage R&R Studies – To validate your measurement system Problem Solving Tools (Pareto and histogram, scatter, etc.) - to help your group solve problems Advanced Data Analysis Tools (DOE and ANOVA, distribution fittings, regression, hypotheses testing and more) are available to meet your advanced requirements.

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.

JMP is a data analysis tool compatible with both Mac and Windows that merges robust statistical capabilities with engaging interactive visualizations. The software simplifies the process of importing and analyzing data through its user-friendly drag-and-drop interface, interconnected graphs, an extensive library of advanced analytic features, a scripting language, and various sharing options, enabling users to explore their datasets more efficiently and effectively. Initially created in the 1980s to leverage the potential of graphical user interfaces for personal computing, JMP continues to evolve by incorporating innovative statistical techniques and specialized analysis methods from diverse industries with each new version released. Furthermore, John Sall, the founder of the organization, remains actively involved as the Chief Architect, ensuring the software stays at the forefront of analytical technology.

Discuss.io is a smart platform that allows global brands and agencies to plan, execute, and share qualitative research conversations at scale. We assist enterprise market researchers, UX specialists, product managers, sales professionals and brand managers in accelerating consumer conversations and streamlining the workflow. Key features include live video interviews and mobile screen sharing, interactive whiteboards and powerful tagging. You can quickly create highlights reels that highlight key moments and save hours of video. We offer a wide range of market research services, including moderation, human translations, recruiting, and program management through our marketplace.

Bring in extensive amounts of text into Transana in a plain text format from Word documents or RTF files, then proceed to categorize and code the information. You can also import, transcribe, code, and analyze up to four media files simultaneously, making it easy to manage your projects efficiently. Identify media Clips within their context and export Clip videos as needed. Additionally, you can import still images or capture snapshots from your video data within Transana, allowing for versatile visual integration. Crop, categorize, and apply coding shapes to your images, and seamlessly embed them into your Documents and Transcripts as required. Furthermore, you can import survey data formatted as spreadsheets for qualitative analysis, selecting specific questions for automatic coding during the import process. Utilize Transana’s robust analysis tools to maximize insights from your survey responses, and easily convert your video files into an analysis-friendly format with Transana’s user-friendly conversion feature, enhancing the overall workflow of your project. This comprehensive set of features makes Transana a powerful tool for qualitative researchers seeking to integrate various data types effectively.

Quirkos is a visual, inexpensive and intuitive way to qualitatively analyze text data. Quirkos' unique bubble interface makes it easy to use and gives you intuitive insights into data. Live collaboration, side by side comparisons and powerful visualisations allow users to uncover interesting findings. Available as cloud-based or offline software with identical features across Windows, Mac, and Linux.

Tosmana serves as a valuable tool for conducting Qualitative Comparative Analysis (QCA). This software supports both csQCA (Crisp-Set Qualitative Comparative Analysis) and mvQCA (Multi-Value QCA) assessments. For further information regarding QCA, you can visit the website of Charles Ragin and the COMPASSS Research Group. Development of this software began in 2000, and after a period of inactivity, the launch of version 1.4 in June 2016 signaled a revival in its progress. A website overhaul also took place in June 2016. Users can conveniently import data into TOSMANA by copying directly from a spreadsheet program. To accomplish this, open your dataset in the spreadsheet application, highlight all relevant data cells including the variable names in the first row, and copy them. In TOSMANA, navigate to File>Import from Clipboard to load the data, which will replace any previously existing information within the software. Once the import is completed successfully, it is essential to save your file in the appropriate format to ensure data integrity. This process not only makes data management easier but also enhances the overall user experience.

Examine a wide range of data types, including but not limited to texts, images, audio and video files, websites, tweets, focus group discussions, and survey results. MAXQDA stands out as both a powerful and user-friendly tool, being the only top-tier qualitative data analysis software that offers a completely identical experience on both Windows and Mac platforms. Regardless of your interview methods in the field, MAXQDA can seamlessly process all types of files. You can import handwritten notes, audio and video recordings, and transcripts from various transcription services, along with Word or PDF documents that include highlights and comments. Organize your documents by assigning unique colors and grouping them based on location, time, topic, or category, for instance. The integrated MAXQDA transcription tool allows for easy transcription of audio or video files. You can immediately start coding your data, adding memos, and paraphrasing as you transcribe, ensuring that your initial thoughts are captured as soon as they arise. This flexibility makes MAXQDA an invaluable resource for researchers looking to streamline their data analysis process.

Bring in data from various sources and organize all your files within a single software solution. Subsequently, unlock essential insights with the help of intelligent automation, allowing you to make decisions in a matter of hours instead of days. Automatically produce comprehensive insights by utilizing advanced AI and machine learning techniques for quicker outcomes. With just a few codes, you can tag qualitative insights while taking advantage of auto coding and team collaboration for rapid results. ATLAS.ti empowers you to communicate your findings through engaging visualizations that transform mundane statistics into striking revelations, enabling you to showcase your conclusions with assurance. This streamlined approach not only enhances efficiency but also fosters a deeper understanding of your data.

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.

QCAmap is a freely accessible online platform designed for systematic text analysis in scientific endeavors, utilizing qualitative content analysis techniques. This tool is applicable to various research fields, including psychology, sociology, education, economics, and linguistics, allowing users to analyze diverse text materials and images sourced from interviews, group discussions, observation notes, documents, open-ended survey responses, and more. The process of Qualitative Content Analysis follows a meticulously structured protocol that incorporates both qualitative elements, such as categorizing text segments and images, and quantitative aspects, including the examination of category frequencies. We have created an interactive web-based software that guides users through the various methodologies of Qualitative Content Analysis in a step-by-step manner. The platform is freely accessible to all users, ensuring ease of use. Furthermore, all previous projects have been successfully migrated to the latest version, allowing researchers to continue their work without interruption. This seamless transition enhances user experience and enables continuous engagement with the software's features.

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.

Transform user research into shareable video insights in just minutes with our platform. It provides automated video clips and highlights while enabling Live Notes for immediate analysis and tagging. You can effortlessly upload audio and video from any location, making it the ideal qualitative data platform for organizations focused on insights. This solution serves as a single repository for all your qualitative data, allowing you to spend less time managing and editing media files. By automating the labor-intensive processes of transcription and media preparation, you can concentrate on deriving valuable insights. Instantly create research clips and highlights, eliminating the hassle of tedious video editing. Simply tag key moments in your recordings, and our platform will generate clips in real-time. Additionally, we automatically organize your research projects; by submitting your research plan, we'll categorize your recordings into questions, exercises, and themes, facilitating effortless synthesis of your findings. This streamlined approach not only saves you time but also enhances the overall quality of your research outcomes.

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.

Previously, our method for examining qualitative data was highly labor-intensive and consumed a significant amount of time. Now, thanks to their AI technology, we can effortlessly pinpoint critical insights. We move past simple sentiment analysis by providing a comprehensive weekly report that highlights the most significant compliments, complaints, questions, and requests, organized by volume and urgency. Each identified theme not only tracks fluctuations over time but also includes a detailed summary, urgency score, relevant product sub-themes, user profiles, and additional insights. This versatile tool can be applied to various sources, such as sales call transcripts, customer support inquiries, market research, employee feedback, and beyond. Our platform accommodates unlimited users and integrations at every pricing level, ensuring accessibility for companies of all sizes. To get started, you only need a minimum of 500 data points. Each report section delivers insights about the individuals engaging in those discussions, ensuring a tailored approach. The AI leverages customer attributes and metadata to perform in-depth analyses and offer recommendations based on elements like NPS scores, customer classifications, geographical regions, and more, mirroring the analytical capabilities of a human expert. Ultimately, this transformation not only streamlines our processes but also enriches our understanding of customer feedback in a way that was previously unattainable.

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.

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

CATMA is an innovative web platform designed for text annotation, analysis, and visualization, tailored to replicate the adaptable processes of hermeneutic text interpretation. Users can engage with the application in a manner that aligns best with their research objectives, whether they prefer qualitative or quantitative methods, exploratory approaches, or a more structured, taxonomy-driven analysis, allowing for both individual and collaborative efforts. The latest iteration, Version 6, introduces a host of new functionalities, with its framework now organized around distinct projects. These projects can encompass various elements, including Documents, Annotations, Tagsets, and Members, enhancing the organization of collaborative annotation through updated roles-and-rights management features. Improvements to analysis capabilities include refined query options and visualizations that are seamlessly integrated, alongside a collection of standard queries and fresh visualization tools. Furthermore, the user interface has undergone a comprehensive redesign, resulting in a more streamlined and user-friendly experience that enhances overall usability. With these advancements, CATMA continues to support diverse research needs while making the process of text analysis more accessible and efficient.

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.

If you are looking to tackle challenges related to text analysis or language processing, you've come to the perfect resource! GATE is a robust open-source software toolkit designed to address nearly any issue in text processing. It boasts a large and well-established community comprising developers, users, educators, students, and researchers. This toolkit is utilized by corporations, small to medium enterprises, research laboratories, and universities across the globe. The team behind GATE is composed of top-tier language processing developers. Being open-source, GATE is available at no cost, and users can seek free assistance from the community through GATE.ac.uk or opt for commercial support from our industrial partners. Remarkably, GATE stands out as the largest open-source language processing initiative, featuring a development team that is more than twice the size of its nearest competitors, many of which are integrated with GATE2. Over €5 million has been invested in the development of GATE, and our aim is to ensure that this investment continues to yield valuable returns for all users of the toolkit. By choosing GATE, you join a thriving ecosystem dedicated to advancing language processing technologies.

Key Features: 1. Coding: COSTAQDA provides a robust coding platform that allows researchers to categorize and tag qualitative data efficiently. It supports various coding methods, including descriptive, narrative, in vivo, and emotion coding, making it adaptable to a wide range of research methodologies. 2. Ordering/Organizing: The software enables users to structure their coded data systematically. Researchers can organize codes into hierarchies, categories, or themes, which is crucial for understanding complex relationships within the data and preparing it for deeper analysis. 3. Theme Discovery: COSTAQDA includes advanced tools for identifying and extracting themes from coded data. This thematic analysis capability helps researchers uncover patterns and insights that are essential for drawing meaningful conclusions from qualitative studies. 4. Testing Analysis: COSTAQDA supports the validation of research findings through its Testing Analysis feature. It includes an Inter-Coder Reliability test using Cohen's Kappa, which ensures consistency and reduces bias in coding, particularly in collaborative research projects.

Experience the benefits of our advanced AI-driven summaries designed for maximum efficiency and effectiveness. Our innovative, scientifically-backed algorithm empowers users to distill information seamlessly. With our service, you receive concise summaries along with essential keywords and phrases that capture the core of the content. We are capable of summarizing a wide range of file formats, such as pdf, mp3, doc, txt, jpg, and more. Utilizing cutting-edge technologies in artificial intelligence, machine learning, natural language processing, and blockchain, we streamline intricate processes and automate tasks that once demanded human intelligence. Currently, the SummarizeBot team is dedicated to addressing global scientific challenges, particularly in the realms of abstractive summarization, question-answering systems, and predictive analytics tailored for the fintech sector. Our team is frequently invited to participate in international data science competitions and challenges, which keeps us at the forefront of emerging trends in AI and machine learning, continuously enhancing our skill set and knowledge in this fast-evolving field. This commitment not only drives our innovation but also ensures we remain leaders in providing exceptional summarization services.

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.

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.

QualSights is an innovative insights platform designed to empower brands, agencies, and consulting firms to gather richer and more genuine consumer insights from across the globe with remarkable speed and cost efficiency. By utilizing its proprietary technology, businesses can obtain real-time insights by observing and engaging with consumers during their shopping or product usage experiences in their everyday settings. As the first and only fully integrated solution, QualSights adeptly combines qualitative and quantitative research methodologies, thereby delivering clients enhanced depth, authenticity, and agility throughout their research endeavors. Moreover, the platform offers a diverse array of data collection methods while also streamlining analysis through a robust suite of AI tools that simplify the process of identifying and showcasing the most relevant insights. This comprehensive approach ensures that clients can make informed decisions quickly and effectively, ultimately leading to better product development and marketing strategies.

NVivo enables users to extract greater value from qualitative and mixed methods data. By revealing deeper insights, it allows for the generation of well-supported and articulate findings that are underpinned by thorough evidence. The software enhances efficiency in research processes, facilitating more comprehensive analyses across diverse data sources while enabling users to robustly defend their conclusions. With industry-leading features tailored for researchers, NVivo empowers you to maximize the potential of your data. It aids in assessing and conveying the impact of programs, communities, and policies with concrete evidence. Moreover, it provides strategies to evaluate and bolster the effectiveness of non-profit programs and initiatives. Additionally, NVivo assists in analyzing population health trends, which can significantly shape policy decisions, healthcare practices, and educational frameworks. This multifaceted tool ultimately drives impactful research outcomes and fosters informed decision-making.

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.

Everything you need for an effective research system. Centralize all your research data, improve collaboration and standardize your research process. Share your insights easily. Keep your classification system organized. It is easy to manage tags, properties, and labels. Data security and privacy compliance. Trusted by public and private companies around the globe. Analyze your data to create useful reports. Connect the dots between insights. You can find anything in seconds. You have hundreds of filters at your disposal. AI powered search that works. Standardize your research process by creating templates that everyone can use. Empower more people to do better research. Deep integrations give you real superpowers, access to customer feedback quickly and eliminate complicated Zapier workflows. No additional charges for uploading files of any size or format. Transform audio and video recordings into timestamped transcripts. Instant visibility of who is sharing insights.

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.

JADBio is an automated machine learning platform that uses JADBio's state-of-the art technology without any programming. It solves many open problems in machine-learning with its innovative algorithms. It is easy to use and can perform sophisticated and accurate machine learning analyses, even if you don't know any math, statistics or coding. It was specifically designed for life science data, particularly molecular data. It can handle the unique molecular data issues such as low sample sizes and high numbers of measured quantities, which could reach into the millions. It is essential for life scientists to identify the biomarkers and features that are predictive and important. They also need to know their roles and how they can help them understand the molecular mechanisms. Knowledge discovery is often more important that a predictive model. JADBio focuses on feature selection, and its interpretation.

Citibeats serves as an advanced artificial intelligence platform that thoroughly investigates and interprets vast quantities of text generated by the public. By deciphering this data, Citibeats reveals valuable social insights and patterns beneficial to businesses and organizations. The platform is designed to adapt seamlessly to various contexts where users express their needs and opinions, effectively understanding them regardless of the language, source, or format of the text. Notably user-friendly, the tool is customizable, enabling the monitoring of information in dynamic environments on a large scale and in real time, which allows users to respond swiftly and effectively. Utilizing a sophisticated algorithm that integrates Natural Language Processing and Machine Learning, Citibeats effectively filters pertinent content, categorizes user feedback, and automatically draws insights and identifies trends, while also enhancing the precision of predicting the actual consequences of decisions made. This comprehensive approach not only empowers organizations to stay informed but also enables them to make data-driven choices that can significantly improve their strategies.

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.

Aurelius simplifies the process of collecting, analyzing, and deriving actionable insights from your research data, all while enabling seamless organization and sharing. With Aurelius, you can benefit from features such as highly accurate transcriptions, versatile note-taking and tagging systems, AI-driven keyword analysis, and the ability to extract key insights and generate recommendations. Additionally, it includes an automatic report generator, universal search capabilities, and the ability to create collections, while also offering integrations with Jira, Zoom, and Zapier. The platform supports single sign-on (SSO), advanced permissions for sharing, and accommodates unlimited users, transcriptions, projects, and data storage, all backed by exceptional customer support. By consolidating these tools into one platform, Aurelius empowers researchers to work more efficiently and effectively.

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.

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.

WizWhy analyzes how the values of one data field are influenced by the values of other fields in the dataset. The analysis hinges on a dependent variable chosen by the user, while the remaining fields act as independent variables or conditions. This dependent variable can be examined in two ways: as a Boolean value or as a continuous measurement. Users have the ability to refine their analysis by setting various parameters, including the minimum probability for rule formation, the least number of instances required for each rule, and the comparative costs associated with false negatives versus false positives. WizWhy identifies and presents a series of rules that connect the dependent variable with other fields, expressing these rules using if-then and if-and-only-if constructs. Based on the identified rules, WizWhy highlights significant patterns, reveals unexpected rules that may indicate interesting phenomena, and points out unusual cases within the dataset. Additionally, WizWhy is capable of making predictions for new instances by leveraging the established rules.

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.

Visual Layer is a production-grade platform built for teams handling image and video datasets at scale. It enables direct interaction with visual data—searching, filtering, labeling, and analyzing—without needing custom scripts or manual sorting. Originally developed by the creators of Fastdup, it extends the same deduplication capabilities into full dataset workflows. Designed to be infrastructure-agnostic, Visual Layer can run entirely on-premise, in the cloud, or embedded via API. It's model-agnostic too, making it useful for debugging, cleaning, or pretraining tasks in any ML pipeline. The system flags anomalies, catch mislabeled frames, and surfaces diverse subsets to improve generalization and reduce noise. It fits into existing pipelines without requiring migration or vendor lock-in, and supports engineers and ops teams alike.

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.

Indeemo is a dynamic platform designed to bring research to life through video. By enabling teams to capture real-world moments effortlessly, it helps uncover deeper insights into people, products, and experiences. With seamless participant engagement and an intuitive interface, Indeemo makes it easy to collect and organize multimedia content anytime, anywhere. Whether exploring user behavior, mapping customer journeys, or refining product experiences, researchers can connect with real-world perspectives in meaningful ways. Indeemo’s AI-driven tools help streamline analysis, making it faster and easier to identify key moments and craft compelling visual stories. Its flexible workflows support a range of research needs, from unmoderated video capture to one-on-one interviews and collaborative reviews. Designed for teams that value rich, authentic insights, Indeemo transforms raw video into actionable understanding.

Achieve flawless data capture through an automated platform that guarantees 100% accuracy with just two lines of code. DocDigitizer presents unprecedented advantages for partners including Integrators, RPAs, ERPs, KYC/AML, and various Digital Transformation initiatives. There’s no need for any upfront setup, infrastructure, licensing fees, or complicated implementations. With a flexible payment model based on documents processed, you can start on a small scale without minimum requirements and easily adjust your usage as needed. Beyond mere OCR and data capture, DocDigitizer not only extracts data but also validates it, ensuring reliability. This innovative solution harnesses cognitive data capture for any readable content, offering a seamless plug-and-play experience with guaranteed accuracy. By merging our unique cognitive data capture technology with a well-crafted human-in-the-loop procedure, we provide the quickness and scalability of machine automation while retaining the quality that only human oversight can offer. Our solution stands out in terms of both precision and cost-effectiveness, outshining conventional OCR systems that struggle to deliver the same level of performance. Ultimately, DocDigitizer redefines data capture by integrating advanced technology with human expertise, setting a new standard in the industry.

Chetu is a global software development company that provides businesses worldwide with cost-effective, custom technology solutions and support services. With a unique software delivery model designed to meet the needs of the client, Chetu's one-stop-shop model spans the entire software technology spectrum. Including its global headquarters in Sunrise, Florida, Chetu maintains sixteen locations throughout the U.S., Europe, and Asia, and has over 2,200 software experts worldwide with industry-specific expertise in over 40 verticals. Chetu is your trusted backend technology partner. We help your business develop desktop, mobile, and web-based apps quickly with on-demand developers who are focused on your business's progress.

This tool is a powerful tool for qualitative research.

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.

Tisane API is an NLU API that focuses on law enforcement and abusive content. Tisane detects: • hate speech • Cyberbullying • Criminal activity • Sexual advances • Attempts to establish external contact More. Tisane identifies the issue and pinpoints the text fragment that is infringing. Optionally, an explanation can be provided for audit or sanity checks. Tisane can handle 30 languages, even if it contains slang or obfuscation.