Iris.ai Alternatives

From effortlessly managing a deluge of invoices across various channels including email, vendor portals, chats, and more to seamlessly integrating with all finance ERPs including Oracle NetSuite, SAP, QuickBooks, etc., Neil handles the entire AP process without human intervention. This means AP teams get to focus on strategic initiatives while most of the day-to-day AP tasks are performed automatically by Neil with accuracy more than 85%. Going beyond the traditional RPA and OCR-based automation, Neil leverages advanced ICR, AI-powered workflows, and real-time vendor communication to ensure accurate data extraction, efficient processing, and timely payments—resulting in happier vendors and better discount opportunities for the enterprise. With Neil on your team, achieve remarkable 90% straight-through processing (STP) rates, eliminate human errors, and optimize vendor relationships like never before.

Discuss.io is a smart video platform that helps global brands and agencies plan, execute and share qualitative research conversations at scale. We help enterprise market researchers, UX researchers, product managers, sales professionals, brand managers and CX departments ramp consumer conversations and streamline the workflow. Built by market researchers, key features include live video interviews, mobile screen share, interactive whiteboards, built-in auto translation (100+ languages), powerful tagging and the Respondent Management Hub. Easily create clips of important moments and build a highlight reel that tells a story, without pouring through hours of video. In addition to a world-class technology platform, we can provide a range of market research services such as moderation, human translation, recruiting and program management through our marketplace.

The TextRazor API helps you extract and understand the Who, What, Why and How from your news stories with unprecedented accuracy and speed. Entity Extraction, Disambiguation and Linking. Keyphrase Extraction. Automatic Topic Tagging and Classification. All in 12 languages. Deep analysis of your content to extract Relations, Typed Dependencies between words and Synonyms, enabling powerful context aware semantic applications. Rapidly extract custom products, companies and build problem specific rules for tagging your content with your own categories. TextRazor offers a complete cloud or self-hosted text analysis infrastructure. We combine state-of-the-art natural language processing techniques with a comprehensive knowledgebase of real-life facts to help rapidly extract the value from your documents, tweets or web pages.

Luminoso turns unstructured text data into business-critical insights. Using common-sense artificial intelligence to understand language, we empower organizations to discover, interpret, and act on what people are telling them. Requiring little setup, maintenance, training, or data input, Luminoso combines world-leading natural language understanding technology with a vast knowledge base to learn words from context – like humans do – and accurately analyze text in minutes, not months. Our software provides native support in over a dozen languages, so leaders can explore relationships in data, make sense of feedback, and triage inquiries to drive value, fast. Luminoso is privately held and headquartered in Boston, MA.

Encode your knowledge into machine learning models that can automate text-based workflows at scale with human-level quality. Build your own models from scratch, retrain our world-class models for your specific task, or use Primer models off-the-shelf. Anyone in your organization can build and train models using Primer Automate — no coding or technical skills required. Add a structured layer of intelligence on top of your data and create a scalable, self-curating knowledge base that can sift through billions of documents in seconds. Find answers to critical questions quickly, monitor updates in real time, and automatically generate easy-to-read reports. Process all of your documents, emails, PDFs, text messages, and social media to find the information that matters most. Primer Extract uses cutting-edge machine learning tools to help you explore your data quickly, and at scale. Going beyond keyword search, Extract also gives you translation, OCR, and image recognition capabilities.

With a background in protecting children online, our comparative text analysis platform extracts business value from your text data. Relative Insight’s technology helps marketing insights professionals and brand specialists like you extract more value out of the text data you’ve already got. By utilizing a comparative approach, our platform helps you to generate rich audience insights quickly and at scale. This adds sophistication and science to your qualitative analysis. Equipped with unique marketing insights, brands can develop sharper communications, better brand positioning, and more resonant campaigns. Our platform will help you decipher and embrace your unstructured data and reduce the time it takes to analyze. This same approach can be used to analyze other primary research transcripts including videos, interviews, and focus groups, you’re sitting on a data goldmine! Relative Insight enables you to compare your brand messaging against competitors.

Handle text data with a no-code console that can read natural language. Never again with a spreadsheet. Spreadsheets have no clue about words meaning and languages. You do, and SimpleX does too. No complicated queries nor machine learning gibberish. A.I. is well hidden behind a simple and intuitive UI. Analyze 10x faster free text answers. Import, tag, categorize, and filter hundreds of quotes in seconds. Our A.I. does all the heavy lifting for you. Instant treemaps or word clouds, ready to be pasted in your presentation. And tidy exports with all the right insights. Understands and processes natively 50 languages, even mixed up. Deals with up to 10k text answers such as quotes, feedback, comments, and reviews. Extracts insights 10 times faster thanks to AI-powered analytical features. Performs in real-time time-consuming tasks you thought only humans could do. Sophisticated AI is a simple & friendly solution.

Semantria is a natural language processing (NLP) API from Lexalytics, leaders in enterprise sentiment analysis and text analytics since 2004. Semantria offers multi-layered sentiment analysis, categorization, entity recognition, theme analysis, intention detection and summarization in an easy-to-integrate RESTful API package. Semantria is totally customizable through graphical configuration tools, supports 24 languages, and can be deployed across private, public and hybrid clouds. Semantria scales effortlessly from single servers to entire data centers and back again to meet your on-demand processing needs. Integrate Semantria to add powerful, flexible text analytics and natural language processing capabilities to your cloud-based data analytics products or enterprise business intelligence infrastructure. Or add Lexalytics storage and visualization tools to create a complete business intelligence platform for storing, managing, analyzing and visualizing text documents.

Canvs AI is an insights platform that transforms open-ended text from surveys, social media, transcripts, product reviews, and more into conversational intelligence about how people feel and why. Canvs is used by some of the world’s most admired brands, research agencies, and media and entertainment companies to accelerate time-to-insights, deepen understanding of audiences, and reduce the cost of analysis. Automate the analysis of open-ended text to quickly unlock consumer insights with deep, nuanced emotional context and high analytical confidence. Quickly explore, filter, and compare findings and generate stunning data visualizations with Canvs’ intuitive, easy-to-use insights portal. Streamline analysis of open-ends in your brand and concept tests and automate the coding of unaided awareness, recall and attribute questions. Quickly identify and categorize the sentiment and emotions associated with responses and respondents.

Grooper was built from the ground up by BIS, a company with 35 years of continuous experience developing and delivering new technology. Grooper is an intelligent document processing and digital data integration solution that empowers organizations to extract meaningful information from paper/electronic documents and other forms of unstructured data. The platform combines patented and sophisticated image processing, capture technology, machine learning, natural language processing, and optical character recognition to enrich and embed human comprehension into data. By tackling tough challenges that other systems cannot resolve, Grooper has become the foundation for many industry-first solutions in healthcare, financial services, oil and gas, education, and government.

OpenText™ Unstructured Data Analytics products employ AI and machine learning to help organizations uncover and leverage key insights stored deep within their unstructured data, including text, audio, video, and images. Organizations can connect all their data to understand the context and information locked inside high-growth unstructured content—at scale. Discover insights hidden within all types of media with unified text, speech, and video analytics that support more than 1,500 data formats. Use natural language processing, optical character recognition (OCR), and other AI-powered models to understand and track the meaning within unstructured data. Employ the latest innovations in machine learning and deep neural networks to understand written and spoken language in data, revealing greater insights.

Business end-users can ask to Seek the exact same questions that they currently ask the data team, right in Slack, Teams, and email. No "finessing" of how they write their question, and no learning a new platform. All questions are stored in a knowledge base. Business end-users never need to ask repeated questions, and the more Seek is used, the more intelligent it becomes at working with your data. Complete with a code editor, knowledge base, data warehouse integrations, and more. Your data security is our obsession. We're SOC2 Type I compliant and also offer flexible user and group permissions.

NaturalText A.I. helps you get more out of your data. Discover relationships, create collections, and unveil hidden insights in documents and other text-based data. NaturalText A.I. uses novel artificial intelligence technology to uncover hidden relationships in data. The software uses various state-of-the-art methods to understand context, analyze patterns, and reveal insights—all in a human-readable way. Reveal insights hidden in your data. Finding everything hidden in your text data is a difficult, if not impossible, task. With traditional search, you can only locate information related to a document. NaturalText A.I., on the other hand, uncovers new information within millions of documents, including scientific papers and patents. Use NaturalText A.I. to reveal insights in the data you are currently missing.

Amazon Comprehend Medical is a HIPAA-eligible natural language processing (NLP) service that uses machine learning to extract health data from medical text–no machine learning experience is required. Much of health data today is in free-form medical text like doctors’ notes, clinical trial reports, and patient health records. Manually extracting the data is a time consuming process, while automated rule-based attempts to extract the data don’t capture the full story as they fail to take context into account. As a result, the data remains unusable in large-scale analytics needed to advance the healthcare and life sciences industry and improve patient outcomes and create efficiencies.

Amazon Textract is a fully managed machine learning service that automatically extracts text and data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. Many companies today extract data from scanned documents, such as PDF's, tables and forms, through manual data entry (that is slow, expensive and prone to errors), or through simple OCR software that requires manual configuration which needs to be updated each time the form changes to be usable. To overcome these manual processes, Textract uses machine learning to instantly read and process any type of document, accurately extracting text, forms, tables, and, other data without the need for any manual effort or custom code. With Textract you can quickly automate manual document activities, enabling you to process millions of document pages in hours.

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.

Mine insights in unstructured text using NLP—no machine-learning expertise required—using text analytics, a collection of features from Cognitive Service for Language. Gain a deeper understanding of customer opinions with sentiment analysis. Identify key phrases and entities such as people, places, and organizations to understand common topics and trends. Classify medical terminology using domain-specific, pretrained models. Evaluate text in a wide range of languages. Identify important concepts in text, including key phrases and named entities such as people, events, and organizations. Examine what customers are saying about your brand and analyze sentiments around specific topics through opinion mining. Extract insights from unstructured clinical documents such as doctors' notes, electronic health records, and patient intake forms using text analytics for health.

Watson Natural Language Understanding is a cloud native product that uses deep learning to extract metadata from text such as entities, keywords, categories, sentiment, emotion, relations, and syntax. Get underneath the topics mentioned in your data by using text analysis to extract keywords, concepts, categories and more. Analyze your unstructured data in more than thirteen languages. Out-of-the-box machine learning models for text mining provide a high degree of accuracy across your content. Deploy Watson Natural Language Understanding behind your firewall or on any cloud. Train Watson to understand the language of your business and extract customized insights with Watson Knowledge Studio. Maintain ownership of your data with the assurance that your data is safe and secure. IBM will not collect or store your data. By using our advanced natural language processing (NLP) service, we give developers the tools to process and extract valuable insights from unstructured data.

QCAmap is an open access web application for systematic text analysis in scientific projects based on the techniques of qualitative content analysis. QCAmap can be used within research projects in e.g. psychology, sociology, education, economics, linguistic sciences, to analyze small and large amounts of any text material and images coming from interviews, group discussions, observation protocols, documents, open-ended questionnaire items and others. Qualitative Content Analysis is a strictly rule-guided procedure containing qualitative steps (assignment of categories to text passages and images) and quantitative steps (analysis of category frequencies). We have developed a web-based interactive software package, which leads you step by step through the different techniques of Qualitative Content Analysis. The software is free available. All your old projects are migrated to the new version and can be used as normal.

Kimola Cognitive is a rock-solid Machine Learning Platform that enables users to grab reviews from 20+ channels and analyze + classify customer feedback -or any text data- automatically. Here are the TOP skills of Kimola Cognitive: - Scrape Web and Collect Reviews - Text Analysis with Entity Recognition - Analyze Data with Pre-Built models on Kimola Cognitive Gallery - Create, Train and Store Your Own Custom Models (No Coding Skills are Required) - Create Executive Summary, Generate SWOT Analysis and many powerful marketing materials using GPT Integration - Available in 6 languages (and counting!)

Putting humans back in charge of the automation. DeepSee empowers knowledge workers with AI techniques to turn data into powerful business assets. Solving real problems for real people. Knowledge is power, and equipping subject-matter experts with the right tools to sift through all the noise has never been more critical to business success. DeepSee created the Knowledge Process Automation (KPA) platform to mine unstructured data, operationalize AI-powered insights, and automate results into real-time action for the enterprise. We’re putting deep knowledge and the power of AI back into human hands. For enterprises across every major business sector, driving strong performance isn’t just about tracking KPIs. Today, competitive advantage is fueled by understanding trends, predictions, and outliers. The DeepSee platform extracts, processes, and transforms untapped data into these key competitive insights in real time — eliminating complexities between analysis and action.

Tisane is NLU API with a focus on abusive content and law enforcement needs. Tisane detects: * hate speech * cyberbullying * criminal activity * sexual advances * attempts to establish external contact and more. Tisane classifies the actual issue, and pinpoints the offending text fragment; optionally, explanation can be supplied for a sanity check or audit purposes. Tisane supports 30 languages, even if the text contains slang and obfuscation.

Daisee builds technology to provide access to deep insight into the behavioural and emotional dynamics of your customers with the most accurate AI-powered, fully-automated AQM available for more impactful coaching, improved commercial outcomes and compliance monitoring. Daisee analyzes and automatically scores 100% of customer interactions using a world-first automated, digital quality scorecard. This automatically surfaces quality assurance issues that require human intervention in the areas of communication, compliance and conduct. Daisee enables you to see far beyond words alone, surfacing the underlying emotion hidden deep within your interactions – what your customers are really saying, thinking, and feeling. Daisee helps organisations create practical business value immediately, with software that is incredibly flexible and easy to deploy across any telephony system. Globally Daisee operates in Australia, New Zealand and the USA.

The Accern No-Code NLP Platform empowers domain experts and business analysts to extract the most accurate insights from massive streams of unstructured data–including news, social media, industry reports and internal documents—within minutes. Accern offers pre-built AI/ML/NLP solutions to minimize time to value and maximize ROI for equity research, credit risk, M&A activity, ESG performance, insurance claims, fraud prevention, sanctions monitoring and more. Recognized as the first No-Code NLP platform and industry leader with the highest accuracy scores, Accern also enables data scientists to customize end-to-end AI/ML/NLP workflows with BYO datasets, taxonomies, models and pre-integrated dashboards and DSML platforms. In production at companies like Allianz, William Blair and Mizuho Bank, Accern accelerates innovation by enhancing existing models and enriching BI dashboards.

Cortical.io delivers AI-based Natural Language Understanding (NLU) solutions like Contract Intelligence and Message Intelligence which enable enterprises to more effectively search, extract, annotate and analyze key information from any kind of unstructured text. Cortical.io artificial intelligence-based solutions can be quickly trained unsupervised in the specialized vocabulary of any business domain and can function across multiple languages. They have been implemented at multiple Fortune 500 businesses, covering a wide spectrum of use cases,

Uncover hidden opportunities and Identify practical ways to grow your business. Learn which products or services to add in order to increase the value of your orders. Tailor your ad messaging and targeting to naturally occurring segments and reduce your CPA. Discover the barriers and motivations that drive retention for different segments. Connect by continuously asking simple, contextual open-ended questions through social ads, emails, messaging and throughout the customer journey. Understand responses and automatically classify motivations, needs, and desires through AI. Get dynamic, ongoing, and granular insights to drive tailored actions.

Business data is usually present in different formats, across sources. A lot of business data is unstructured and semi-structured. IDP (Intelligent Document Processing) leverages AI, along with programmable automation (such as repetitive tasks), to convert data into usable, structured formats, and for consumption by downstream systems.Using Natural Language Processing (NLP), Computer Vision (CV), Optical Character Recognition (OCR) and machine learning tools, Blox.ai identifies, labels and extracts relevant data from any type of document. The AI then maps this extracted information into a structured format while configuring a model which can be applied to all similar document types. The Blox.ai stack is set up to reconcile the data based on business requirements and to push the output to downstream systems automatically.

SparkCognition, a leading industrial AI company, has developed a natural language processing solution that automates workflows of unstructured data within organizations so humans can focus on high-value business decisions. The DeepNLP product uses advanced machine learning techniques to automate the retrieval of information, the classification of documents, and content analytics. The DeepNLP product integrates into existing workflows to enable organizations to better respond to changes in their business and quickly get answers to specific queries or analytics that support decision-making.

Insurance is driven to get the right rate and to manage risk. In this competitive environment, alleviating areas of manual intervention are critical to separate ourselves from peers in the industry. Large staffs are required to search through, read, organize, analyze and distribute information for underwriting and support purposes. Much of the data is text-centric and unstructured needing manual review. Scaling generally entails hiring more people or outsourcing. Complaints must be filtered and registered according to topic and level of severity. Automotive companies gather these complaints in multiple ways, including emails, comments, forms, etc. Lymba’s Underwriting and Support NLP solution streamlines the text-centric bottlenecks by transforming the data into actionable knowledge; this saves time and resources by populating an initial review.

Build natural language understanding and generation into your product with a few lines of code. The Cohere API provides access to models that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use. Use the Cohere API to write human-like text by completing a prompt or filling in blanks. You can write copy, generate code, summarize text, and more. Compute the likelihood of text and retrieve representations from the model. Use the likelihood API to filter text based on chosen categories or selected criteria. With representations, you can train your own downstream models on a wide variety of domain-specific natural language tasks. The Cohere API can compute the similarity between pieces of text, and make categorical predictions by comparing the likelihood of different text options. The model has multiple lenses through which to view ideas, so that it can recognize abstract similarities between concepts as distinct as DNA and computers.

Efficiently analyze large volumes of text with Lexicon's advanced algorithms, automatically extracting custom entities and disambiguating terms to provide clear, concise insights. Lexicon extracts key elements from texts based on specified terms, saving time and effort. Its intelligent disambiguation feature distinguishes between multiple-meaning terms for accurate results. Lexicon's glossary feature provides a centralized location for all extracted terms and definitions, promoting clear team communication. The dedicated Term Page allows for in-depth comprehension of relevant terms, facilitating informed decision-making.

Baidu Natural Language Processing, based on Baidu’s immense data accumulation, is devoted to developing cutting-edge natural language processing and knowledge graph technologies. Natural Language Processing has open several core abilities and solutions, including more than ten kinds of abilities such as sentiment analysis, address recognition, and customer comments analysis. Based on word segmentation, part-of-speech tagging, and named entity recognition technology, lexical analysis allows you to locate basic language elements, get rid of ambiguity, and support accurate understanding. Based on deep neural networks and massive high-quality data on the internet, semantic similarity is possible to calculate the similarity of two words through vectorization of words, meeting the business scenario requirements for high precision. Word vector representation can calculate texts through the vectorization of words and it can help you quickly complete semantic mining.

Comprehensive high-quality IP data for patent analytics. 136 million patents from 100+ countries. Trusted by world-class brands and organizations of all sizes. XLSCOUT engineered data with best-in-class artificial intelligence technologies to develop the most accurate, comprehensive, and intelligent patent & research publication database. Using Natural Language Processing (NLP), Machine Learning (ML), and innovation/scientific principles, XLSCOUT gives you more time and reliable insights to confidently make data-driven strategic decisions. Drafting LLM is a cutting-edge patent application drafting platform that utilizes Large Language Models (LLMs) & Generative AI for drafting top-tier preliminary patent drafts. Novelty Checker LLM swifts through patent and non-patent literature, delivering a comprehensive list of ranked prior art references along with a key feature analysis report.

spaCy is designed to help you do real work, build real products, or gather real insights. The library respects your time and tries to avoid wasting it. It's easy to install, and its API is simple and productive. spaCy excels at large-scale information extraction tasks. It's written from the ground up in carefully memory-managed Cython. If your application needs to process entire web dumps, spaCy is the library you want to be using. Since its release in 2015, spaCy has become an industry standard with a huge ecosystem. Choose from a variety of plugins, integrate with your machine learning stack, and build custom components and workflows. Components for named entity recognition, part-of-speech tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphological analysis, entity linking, and more. Easily extensible with custom components and attributes. Easy model packaging, deployment, and workflow management.

Alegion is the data labeling solution for enterprise-grade Machine Learning. We lead the industry in streaming, high-resolution, high-density video annotation, delivering accurately-annotated, model-ready data to train and validate ML models. Alegion provides both the platform and workforce to operate with quality at scale, processing structured and unstructured data including video, image, audio, and text. Our ML powered platform speeds up task completion by as much as 70%, including classless object tracking and single click smart polygon generation. Segmentation options include Keypoint, Bounding Box, Polyline, & Polygon segmentation, for image and video. Semantic Segmentation tools deliver seamless entity boundaries with pixel perfect accuracy. NLP and NER capabilities support text and audio classification and sentiment analysis. The platform is highly configurable to support hybrid use cases. Available via SaaS (Alegion Control), Managed Platform, and Managed Labeling Services.

Software to Analyze Qualitative Data. CAQDAS for coding in qualitative research. Analyze transcripts from in depth interviews and focus groups together with your team. Delve is a software to analyze qualitative data. It’s a simple to use, collaborative online qualitative analysis tool that allows you to find rigorous, human insights quickly. With Delve, you can deliver research reports that are more rigorous without sacrificing speed.

Enjoy your perfect AI-powered summaries. Our unique scientific-based algorithm allows everyone to be more efficient and effective. Enjoy your summary, the most important keywords and key phrases. We can summarize information almost from any file format, including pdf, mp3, doc, txt, jpg, etc. We apply state-of-the-art artificial intelligence, machine learning, natural language processing and blockchain technologies to simplify complex processes and automate what previously required human-level intelligence. SummarizeBot team at the moment focused on global scientific problems solving related to abstractive summarization, question-answering systems and predictive analytics for the fintech industry. The team constantly is invited to take part in international data science challenges and competitions, which allow us to be on the wave of the latest AI and machine learning trends.

Extract valuable insights from an expansive number of sources in a centralized location, thereby accelerating the tedious manual review process, increasing productivity, and acquiring a deeper understanding of complex, scientific content. Leverage Intelligent Literature Monitoring to proactively collect, evaluate, and document post-market performance data to ensure In Vitro Diagnostic Medical Devices Regulations (IVDR) and Medical Devices Regulations (MDR) compliance. Leverage Intelligent Literature Monitoring to quickly and easily compare medical guidelines and update visual decision-making trees. Leverage our free, open-source content ingestion framework to extract text from a wide variety of data and document types. Sorcero’s Language Intelligence platform is empowering life science and STEM enterprises with immediate access to powerful insights to augment expertise and decision-making.

Aurelius helps you gather all your research data, analyze it, capture insights, tie them to actionable outcomes, then search/share/organize and reuse all of that in one place. Aurelius offers: - near-human accurate transcriptions - powerful, flexible note-taking and tagging - automatic keyword analysis and AI features to help analysis - key insights - recommendations - automatic report builder - universal search - collections - Jira integration - Zoom integration - Zapier integration - SSO - advanced permissions and sharing - unlimited users - unlimited transcriptions - unlimited projects & data - best in class support

QDA Miner Lite is a free and easy-to-use version of our popular computer-assisted qualitative analysis software. It can be used for the analysis of textual data such as interview and news transcripts, open-ended responses, etc. as well as for the analysis of still images. Importation of documents from plain text, RTF, HTML, PDF as well as data stored in Excel, MS Access, CSV, tab-delimited text files. Importation from other qualitative coding software such as Atlas.ti, HyperResearch, Ethnograph, from transcription tools like Transana and Transcriber as well as from Reference Information System (.RIS) files. Ability to add comments (or memos) to coded segments, cases, or the whole project. Coding retrieval with Boolean (and, or, not) and proximity operators (includes, enclosed, near, before, after). Export tables to XLS, Tab Delimited, CSV formats, and Word format. Interface and help file in English, French, and Spanish.

Analyze data, collaborate on insights, and build your research repository. Discover opportunities and become a hero in your team. Discover patterns across a variety of qualitative research methods, unstructured data, and video files. Dovetail is analysis software you’ll love to use. Dovetail is a powerful way to discover patterns across interviews, usability testing, survey responses, and more. Organize tags into a hierarchy with intuitive controls like drag & drop, and extend your project with global tags. Turn qualitative data into quantitative data with highlights, and visualize your work with a variety of beautiful charts. Simply select text and highlight to add tags. Transcribe video recordings, discover patterns across interviews, usability tests, survey responses, and more. Turn qualitative data into quantitative data. Chart, filter, and segment themes across interview notes, transcripts, survey responses, and more.

We are faced with overwhelming volumes of unstructured data, news feeds, reports, presentations, videos, etc. There is a powerful competitive advantage for organizations able to exploit unstructured data, yet only 1% are able to leverage it as a strategic asset. Adarga’s knowledge platform processes unstructured data at a speed simply unachievable by humans alone, presenting it in comprehensible formats. Users can accelerate reporting, analyze complex situations and understand intricate networks with out-of-the-box AI capability that enhances human decision-making. The Adarga knowledge platform transforms productivity and extends human capability by automating time and knowledge-intensive tasks. It uses cutting-edge AI techniques, including natural language processing and network science, to understand and analyze unstructured data at speed, fusing it into a single, secure software platform.

CATMA is a web application for text annotation, analysis and visualization. It is specifically designed to emulate the flexible workflows of hermeneutic text interpretation. In CATMA you can work the way, which best fits your research question: qualitative or quantitative, bottom-up and exploratory, or descriptive and taxonomy-guided, individually or in a team—you choose. Version 6 comes with a bunch of new features. CATMA’s architecture is now centered around projects. Projects can contain Documents, Annotations, Tagsets and Members. The new roles-and-rights management options for project members make collaborative annotation easier to structure and organize. Analysis options via queries and visualizations have been improved and are now closely integrated. A set of pre-selected standard queries as well as several new visualization options are available. The user interface has been given a complete makeover. With its new and clear look, CATMA is now even more intuitive to use.

Make better product decisions 5x faster. Find the signal in the noise - BuildBetter's proprietary Signal Engine powers everything from search to extractions, organizing, and summarizing your qualitative data. Find 78% more insights from your customers with existing data compared to teams using manual product research tools. A quantum leap in qualitative analysis. Save on average 200 hours a year on organizing insights from your customers into topics, themes, problems, and more. Summarizations that are so good it almost feels like cheating. Whether it's a summary of a call, a topic, a feature request, and anything else BuildBetter can process, we can turn it into sharable insights. Internal, external, and everything in between. BuildBetter's proprietary Call Intelligence powered by Signal Engine allows you to track and analyze every call that comes into your product team.

Capture, comprehend and identify not only types of documents, but business critical information contained within those documents, all automatically. Tackle Ai works with structured, unstructured, highly variable documents and images without any need for human interaction. Tackle Ai quickly enables businesses to gain a richer, more meaningful understanding of their information, while greatly reducing labor and document management expenses for businesses. What used to take humans or other software hours or days, Tackle Ai completes in mere seconds, at a fraction of the cost. Automatically identifies critical information, understands the context of information, and learns the differences between documents. It is faster, completes 10,000 documents in seconds, and there's no new software for employees to learn. Handles virtually any client requests, like auto redaction, data extraction, auto filing, etc.

If you need to solve a problem with text analysis or language processing, you're in the right place! GATE is an open source software toolkit capable of solving almost any text processing problem. It has a mature and extensive community of developers, users, educators, students and scientists. It is used by corporations, SMEs, research labs and Universities worldwide. It has a world-class team of language processing developers. GATE is open source free software, users can obtain free support from the user and developer community via GATE.ac.uk or on a commercial basis from our industrial partners. We are the biggest open source language processing project with a development team more than double the size of the largest comparable projects (many of which are integrated with GATE2). More than €5 million has been invested in GATE development3, our objective is to make sure that this continues to be money well spent for all GATE's users.

Our process for analyzing qualitative data used to be incredibly manual, and a huge time suck. With their AI, we're able to find the needle in the haystack really easily. Go beyond sentiment analysis with a weekly report of the most important compliments, complaints, questions, and requests sorted by volume and urgency. Each theme tracks changes over time and contains a summary, urgency score, product sub-themes, user profiles, and more. Use viable to analyze sales call transcripts, customer support tickets, market research, employee surveys, and more. Our platform includes unlimited seats and integrations at every tier, no matter the size of your company. You just need 500 data points to get started. Each section of our report includes details on the people discussing that theme. Our AI uses customer traits and metadata to run true analysis and make recommendations based on details like NPS scores, customer tiers, regions, and more — the same way a human would.

Citibeats is the artificial intelligence platform that searches for and analyzes large amounts of text from citizens. Citibeats makes sense of this data, as it identifies useful social facts and trends for companies and institutions. The platform adapts flexibly to the context in which users' needs and opinions are expressed and is capable of interpreting them, regardless of language, data source and text structure. The tool is very easy to implement and customizable, since it allows you to monitor information in changing environments on a large scale and in real time in order to act quickly and efficiently. The Citibeats algorithm combines Natural Language Processing technology and Machine Learning to filter relevant content, classify user opinions and information into categories, and automatically extract insights and patterns, as well as predict more accurately the real impact of any decision or action taken.

Our systems intelligently gather a variety of high quality unstructured data streams across hundreds of sources, in the form of text, voice, images and videos. Our systems clean this data and are trained to extract signals across products, services, attributes, brands, sentiments, customers, markets, and trends. It gets synthesized and contextualized using our proprietary Deep Product Learning ® technology. Use our enterprise-grade integrations to ingest your private data. Assess and benchmark your view of your products and services with the competitive landscape. Our platform delivers powerful AI-driven actions where you need it - dashboard, APIs and integrations - and turn insights into action, across PIMs, CRMs, voice assistants, chatbots, and more.

JADBio is a state-of-the-art automated Machine Learning Platform without the need for coding. With its breakthrough algorithms it can solve open problems in machine learning. Anybody can use it and perform a sophisticated and correct machine learning analysis even if they do not know any math, statistics, or coding. It is purpose-built for life science data and particularly molecular data. This means that it can deal with the idiosyncrasies of molecular data such as very low sample size and very high number of measured quantities that could reach to millions. Life scientists need it to understand what are the features and biomarkers that are predictive and important, what is their role, and get intuition about the molecular mechanisms involved. Knowledge discovery is often more important than a predictive model. So, JADBio focuses on feature selection and its interpretation.