Alternatives to Proxem Software

DWR eDiscovery allows legal professionals to review, process, and produce documents that could be relevant to litigation. Our Software and hosted Subscriptions offers a wide range of document review tools, including AI search, keyword search, keyword highlight, metadata filtering and marking documents. It also has privilege log, redactions and analysis tools to help users better understand their document corpus. These features can all be done by the user themselves, so they can do the standard eDiscovery tasks without consulting. DWR eDiscovery offers subscriptions to both hosted and on-prem eDiscovery. DWR Pro desktop software can be downloaded to your computer or server. DWR Pro costs $1995per concurrent use license/year. Cloud subscriptions are charged per-GB for hosting and there are no hidden fees. The entry-level Single Matter subscription costs $10/GB/Month and has a minimum of $250 per month. Private clouds allow multiple matters and multiple users for no more than $4/GB/month moving quickly to $1/GB/month.

Natural language processing (NLP), which is a natural way to extract insights from unstructured text, is a great way to gain insight. To understand common topics and trends, identify key phrases and entities, such as people, places, or organizations. Pretrained models that are domain-specific can be used to classify medical terminology. Sentiment analysis allows you to gain a deeper understanding of customer opinions. You can evaluate text in many languages. Broad entity extraction Identify key concepts in text, including key words and named entities, such as people, places and organizations. Sentiment analysis that is powerful: Find out what customers think about your brand and how sentiment is around certain topics. Robust language detection: Assess text input in a variety of languages. Flexible deployment: Text Analytics can be run anywhere: on-premises, in the cloud, or at the edge with containers.

Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.

TextRazor API allows you to extract and understand the Whos, Whats, Whys and Hows from your news stories with unparalleled accuracy and speed. Entity Extraction, Linking, and Disambiguation. Keyphrase extraction. Automatic Topic Tagging, Classification. All this in 12 languages. Deep analysis of your content allows you to extract Relationships, Typed Dependencies between words, and Synonyms. This allows for powerful context-aware semantic applications. Rapidly extract custom products and companies, and create problem-specific rules to tag your content with your own categories. TextRazor provides a cloud-based or self-hosted text analysis platform. Our combination of state-of-the art natural language processing techniques and a vast knowledgebase of real-life facts allows us to quickly extract the value from your documents.

Watson Natural Language Understanding, a cloud native product, uses deep learning to extract metadata such as entities, keywords and categories, sentiments, emotions, relations, and syntax. Text analysis can be used to uncover the topics in your data. It extracts keywords, concepts and categories. Unstructured data can be analyzed in more than 13 languages. Machine learning models for text mining are available that can be used outside-of-the box to provide high accuracy across your content. Watson Natural Language Understanding can be deployed behind your firewall or on any other cloud. Watson Knowledge Studio allows you to train Watson to understand your business language and extract custom insights. You can keep control of your data and have the assurance that it is safe and secure. IBM will not store or collect your data. Our advanced natural language processing service (NLP), gives developers the tools to extract valuable insights from unstructured information.

UHRS can help you with data validation, data validation, classification and sentiment analysis. We offer human intelligence to train machine-learning models to solve some of your most difficult problems. Judges can access UHRS from anywhere and at any time. All judges need is an internet connection and they are ready to go. You can complete tasks such as video annotation in a matter of minutes. UHRS makes it easy to classify thousands images quickly and efficiently. You can train your products and tools with improved boundary recognition, image detection, and other features using high-quality annotated data images. Classify images, semantic segmentation, object detection. Validating audio to speech, conversation, relevance. Identify the sentiment of a tweet and classify documents. Ad hoc data collection tasks, information correction/moderation, and survey.

Komprehend AI APIs provide the most complete set of document classification and NLP programming APIs for software developers. Our NLP models have been trained on more than a million documents and provide state of the art accuracy for most NLP use cases, such as sentiment analysis or emotion detection. Get our Text Analysis API free demo. It provides useful insights from textual data and maintains high accuracy in real life. It can work with a variety data types, from healthcare to finance. Private cloud deployments via Docker containers and on-premise deployments are supported. This prevents data leakage. Your data is protected and the GDPR compliance guidelines are followed to the letter. Monitor online conversations to understand the social sentiment surrounding your brand, product, and service. Sentiment analysis, also known as contextual mining of text, is a method that extracts and identifies subjective information from the source material.

Artificial intelligence (AI) and computer vision help train equipment to control quality of products in manufacturing, train robots for autonomous movement and safety, train cameras and controllers to control traffic on retail. They can also recognize the types and colors of cars and food in the fridge and create a map or 3D model from video. Algorithms can help you predict sales, identify the relationship between publications and metrics, and create personal offers. They also interpret and visualize data and extract the most important information from text and video. Data Mining, regression and classification, correlation, and cluster analysis. Decision trees, prediction models. Graphs. Neural networks. Text classification, understanding and summarization, auto-tagging, named entity recognition, compare to text similarity and sentiment analysis, dialog, and QA systems. Detection, segmentation and recognition. Recovery and image/video generation.

Spool allows you and your team access and document key conversations from customer calls and sales meetings by simply pressing a button. Spool can be connected to your Zoom account. The Spool widget can be used during sales calls and customer calls to capture only the most important, non-sensitive portions of your conversations. There is no typing required. To capture as many discussion topics and as many calls as you wish, simply press the widget button. Spool uses text classification and sentiment analysis algorithms to identify and categorize the most valuable and effective parts of selected conversations and creates sales documents automatically. Spool automatically creates sales documents and emails them to you right after every discovery or qualification call.

TrustServista utilizes advanced artificial intelligence algorithms to provide content analysts, media professionals, and content distributors in-depth content analysis and verification capabilities. TrustServista uses artificial intelligence to determine the trustworthiness or news articles. The trustworthiness algorithm is based on a combination of deep content analysis, publisher profiles, sources that are mentioned or linked to, as well as different perspectives from other publishers. TrustServista provides a range of text analysis capabilities, including entity extraction, sentiment analyses, and standardized classification. Our news analytics service analyzes over 60,000 articles per week in multiple languages and provides actionable, real-time intelligence. TrustServista determines automatically the semantic similarity of documents and extracts hyperlinks from online articles.

Baidu Natural Language Processing is a cutting-edge technology that uses Baidu's vast data collection to develop natural language processing. Natural Language Processing is open to several core capabilities and solutions. These include more than ten types of abilities, such as sentiment analyses, address recognition, or customer comments analysis. Lexical analysis, which is based on word segmentation and part-of speech tagging technology, allows you to find basic language elements and eliminate ambiguity. It also supports accurate understanding. Semantic similarity can be calculated using deep neural networks, high-quality internet data, and vectorization to meet the requirements of business scenarios for high precision. Word vector representation is able to calculate texts by vectorizing words. It can help you complete semantic mining quickly.

SANCARE is a start up that specializes in Machine Learning applied to hospital data. We work with some of the most respected scientists in the field. SANCARE offers Medical Information Departments an intuitive and ergonomic interface that promotes rapid adoption. All documents that make up the computerized patient record are available to the user. Each step of the coding process can be traced to external checks. Machine learning allows you to create powerful predictive models using large amounts of data. It also allows you to consider the notion of context which is not possible with rule engines or semantic analysis engines. It is possible to automate complex decision making processes and to detect weak signals that are often ignored by humans. The SANCARE software machine-learning engine is based upon a probabilistic approach. It uses a large number of examples to predict the correct codes without any indication.

Your deep learning workload can be accelerated. AI model training and inference can speed up your time to value. Deep learning is becoming more popular as enterprises adopt it to gain and scale insight through speech recognition and natural language processing. Deep learning can read text, images and video at scale and generate patterns for recommendation engines. It can also model financial risk and detect anomalies. Due to the sheer number of layers and volumes of data required to train neural networks, it has been necessary to use high computational power. Businesses are finding it difficult to demonstrate results from deep learning experiments that were implemented in silos.

Be it post, SMS, e-mails, online forms, incoming calls, etc. Your customer communication media and interaction channels are growing rapidly. To make it easier for employees and business applications, digitize your documents. There are many benefits to digitizing your documents: lower costs, faster customer response times, and greater agility. Tessi's solution centralizes all of your digital and paper workflows into a single capture and processing platform. Explore our multi-channel scanning and capture, automatic document sorting and reading, automated email management, extraction, and automatic control over supporting documents, as well as other solutions. We optimize the reading, extraction and classification of your documents using OCR/ICR technology, automation, and semantic analysis.

Machine learning can unlock the potential of your sales team. SetSail automatically collects and enriches customer and activity data for your sales team so they don't have to. Then, we create a machine learning model that calculates account/deal health based on the CRM data and communication sentiment. We use the most recent natural language processing (NLP). Our models place emphasis on objective signals such as customer sentiment, rather than self-reported measures such as deal stages. SetSail's machine learning engine provides insights that enable reps, managers, executives, and other stakeholders to see their pipeline health in real time. This powerful tool can breakdown data by rep, deal and account to identify performance issues or deal blockers. You can pinpoint and fix weaknesses before they affect your bottom line.

AI can transform your semantic data into insight to guide your decisions and objectives. Synomia, a pioneer in Artificial Intelligence, is the owner of semantic data processing technology. Synomia transforms large amounts unstructured data into insight to help brands better target their strategies and activation systems. Analyse the market's strong and weak signals to identify tomorrow's trends. Find the most effective angles of attack to your digital strategies. We are experts in all aspects of semantic AI technology, which we activate depending on the needs of our clients: supervised or unsupervised computer learning and rule-based systems. Semantic AI allows you to analyze large amounts of data and create methodologies that are oriented towards novelty and discovery. It is the key to creating strategies that meet the expectations of your targets.

Language Translator is a translator of text from one language into another. Translate news from around the world and present it to you in your own language. Communicate with customers in their native language. Translate text from one language into another. There are multiple domain-specific models available. You can customize the translations to suit your language and terminology. There are three types of customization available: forced glossary and parallel phrases, as well as corpus-level customization. IBM protects your privacy and allows you to use multiple translation models for your translations. The service allows users to customize text with unique terminology and languages. Translate your documents, webpages, and apps instantly to expand your reach into new markets. Chatbots that can communicate with customers in multiple languages are possible.

Text analysis is a complicated and specialized task. Textalytic makes it easy to extract insights from textual content. Our corpus builder can preprocess your text. You can copy and paste the text from your computer or Dropbox into the editor. Your results can be viewed in a table or graph, or exported to csv or pdf formats. Graphs can also be saved as image files, embedded in websites, or emailed. Richly colored charts and graphs can provide insights. You can compare features in dynamic scatterplots with the compare features function. Analyze the frequency with which words describe a noun/pronoun. Analyze the frequency words that describe an action, state, or situation. Analyze frequency of words that indicate the relationship between words. Analyze frequency of the group of words that defines the subject.

Brightleaf offers a technology-powered service that extracts information from contracts using our proprietary semantic intelligence/natural-language processing technology, our own team to review the output, and our Six-Sigma process. This allows us to extract highly accurate data from contracts. For reporting and tracking, your legacy contractual documents can be combined with the extracted meta-data into a Contract Lifecycle Management system (CLM). This will greatly increase the value of your investment. It can be almost any data, and can be customized for each type of contract. Our software extracts all meta-data, terms, conditions, legal provisions, as well as all obligations, which are often scattered throughout your contracts.

Atomic Intelligence is a web-based service that automates the analysis of text content. We monitor large amounts of content, such as news, social media and regulatory filings, and detect opinions along with mentions or products and company names. Investment firms use our service to analyze text for their proprietary trading strategies. Consumer product companies need to understand their customers' opinions. Technology companies want to outsource text analysis. Atomic Intelligence scans the text for mentions of companies and products, sentiment, topics, etc. Machine learning and natural language processing are used to identify important mentions in text. These mentions may be implicit or explicit. The technology of Atomic Intelligence includes components for:

You can find mentions of people, places, brands, and events in documents as well as social media. Access additional information about entities easily. You can quickly and easily classify multilingual text into pre-defined taxonomies, or create your own custom classification scheme. Short texts, such as product reviews, can be used to identify whether the opinion expressed is positive, neutral, or negative. Identify key-phrases and concepts that are relevant to the context in articles and social media posts. Compare two texts and calculate their syntactic or semantic similarity. Understanding the difference between two texts on the same subject. Clean text articles can be extracted from blogs, newspapers, and other websites. Get rid of advertising and boilerplate to get the article text and images.

GramTrans software uses contextual rules, rather than word-to-word lists-based transfer or statistical translator systems to distinguish between different translations for a given word. GramTrans™, a high-quality, domain-independent machine translator for the Scandinavian languages, offers high quality and reliable translations. All products are based upon cutting-edge, university-level research in the fields corpus linguistics and natural language processing (NLP). GramTrans is a research-based software that uses innovative technology like Constraint Grammar dependency Parsing and dependency based polysemy resolution. Robust source language analysis. Morphological and semantic disambiguation. Large linguist-made grammars. High degree of domain independence: journalistic, literary and email. Name recognition and protection Recognition and separation of compound words. Dependency formalism for deep syntactic analysis. Context-sensitive selections of translation equivalents and many more.

Create and edit FMEAs, Process Flow Diagrams, and Control Plans faster and easier than before. FMEA is an intricate methodology. FMEA Studio's auto functions help you to avoid mistakes. It is easy to use and share documents with others. FMEA Studio supports a variety of risk indices (RPN SOD CN) and evaluation methods. You can evaluate FMEA risk with 2D or 3D risk matrices. With ranking tables, you can rank severity, occurrence or detection levels faster and easier. You can also customize the tables to suit your needs. FMEA Studio displays a Structure Tree of Structure Analysis, Function Analysis and Failure Analyses. Right-click menu allows easy access to the edit tools.

In-depth intelligence and analysis are required for mining operations, both in the exploration and operational phases. Bore hole drilling and analysis of samples are required to evaluate mineral deposits. Our technology platform can be used to detect changes in underground structures and the emergence air gaps during the operational phase of extracting minerals deposits. This allows mining companies to monitor these changes and prevent tunnel collapses. Mining companies can use the mDetect technology platform to help them identify. Impact of new structures, underground channels, and tunnels on existing subterranean structure.

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.

WordStat is an easy-to-use and flexible text analysis software. It can be used for text mining tools to quickly extract themes and trends or precise measurement using state-of-the art quantitative content analysis tools. WordStat is available to anyone who needs to quickly extract information from large numbers of documents. Our text mining and content analysis software can be used for many purposes, including analysis of open-ended answers, business intelligence, analysis of news coverage, fraud detection, and more. WordStat's seamless integration to SimStat – our statistical data analysis tool – QDA Miner, our qualitative data analysis program - and Stata, the comprehensive statistical software by StataCorp, allows you unprecedented flexibility in analyzing text and linking it to structured information, including numerical data.

Azure AI Language is an Azure managed service that allows you to develop applications for natural language processing. You can identify key terms and phrases, analyze emotion, summarize text and build conversational interfaces. Use Language to annotate AI models, train them, evaluate them, and deploy them with minimal machine learning expertise. Out-of-the-box capabilities, such as predefined entity categories for each business or text analytics for healthcare domains can help you get up and running quickly. You can also customize and optimize them when necessary. To train your machine-learning model, provide a few labeled example sentences. Multilingual models can be created in one language, and then used for many other languages. Language Studio allows you to scan your content and quickly suggest labels using advanced language models powered by GPT. Text can be categorized and labelled to extract vital information.

Fullstory is a platform for behavioral data that reveals the hidden story behind consumer behavior. Fullstory allows product, engineering and data teams to connect sentiments signals with other data sources in order to design the next best actions. Fullstory provides deeper and more immediate actionable insights than conventional web and product analyses that can only surface what is happening but not why. It is the only behavioral data platforms that provide the context needed to create in-the moment experiences that drive revenue. Fullstory's behavioral analytics is ready for AI. It uses first-party data that has been automatically captured, indexed and semantically structured. No longer do enterprises waste hours and resources on data analysis.

You can forget about manual content classification or data entry. Doculayer.ai provides a configurable workflow that includes document processing services such as OCR, document type classification and topic classification, as well data extraction and masking. Doculayer.ai allows business users to take control of their learning and training by providing an intuitive user interface that makes labeling documents and data easy. Our hybrid data extraction approach allows machine learning models to be combined with patterns, rules, and library scripts to produce better results in less time. Data masking is an option to anonymize or pseudonymize sensitive data in documents. Doculayer.ai provides document intelligence to your Content Services Platform and Business Process Management systems. Your existing IT environment can be augmented for document processing by machine learning, natural language processing and computer vision technologies.

B.I.R.B.AL. is our proprietary artificial intelligence engine. It was trained using a database of over a million articles in different language languages and applying state-of-the-art models of Natural Language Processing. B.I.R.B.AL. uses machine learning to classify news, extract-based summarization, news topics ranking, and interlanguage clustering. B.I.R.B.AL. Deep Learning uses both supervised and unsupervised machine-learning algorithms. Our artificial intelligence allows you to go beyond online content monitoring and predict the most important topics on the internet. You can gain strategic insights by studying large amounts of data and information. Rich web data sets can help you expand your financial analysis. Use structured web data to improve your predictive analytics and risk modeling and understand performance trends using a new instrument.

Levity is a no-code platform for creating custom AI models that take daily, repetitive tasks off your shoulders. Levity allows you to train AI models on documents, free text or images without writing any code. Build intelligent automations into existing workflows and connect them to the tools you already use. The platform is designed in a non-technical way, so everybody can start building within minutes and set up powerful automations without waiting for developer resources. If you struggle with daily tedious tasks that rule-based automation just can't handle, Levity is the quickest way to finally let machines handle them. Check out Levity's extensive library of templates for common use-cases such as sentiment analysis, customer support or document classification to get started within minutes. Add your custom data to further tailor the AI to your specific needs and only stay in the loop for difficult cases, so the AI can learn along the way.

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.

HelpHub lets you show users AI-generated Instant Solutions, help documents and more, anywhere within your app. Your users can get help from HelpHub without leaving the flow of your app. Our customers' conversion rates typically increase when HelpHub has been adopted. HelpHub uses semantic searching to make Instant Answers and help documents searchable. Semantic searches match words not only by their words, but also by their meaning. This allows users to search using a phrase that isn't exact and still receive results. This is a powerful feature -- for instance, users may not know the exact terminology used by your app. If they enter something roughly in line with the terminology you use, then they will still get results that answer the question!

Paradise employs robust, unsupervised machine-learning and supervised deep learning technologies in order to increase interpretation and gain greater insight from the data. Generate attributes to extract valuable geological information and for input into machine learning analysis. Identify the attributes that have the greatest variance and contribution to a given set of attributes in a particular geologic setting. Display the neural classes (topology), and the associated colors resulting Stratigraphic analysis. These indicate the distribution of facies. Deep learning and machine learning can automatically detect faults. Compare machine learning classification results with other seismic attributes to traditional logs. In fraction of the time it takes to generate spectral and geometric decomposition attributes on a cluster compute nodes, you can do this in fraction of the time with a single machine.

XLNet, a new unsupervised language representation method, is based on a novel generalized Permutation Language Modeling Objective. XLNet uses Transformer-XL as its backbone model. This model is excellent for language tasks that require long context. Overall, XLNet achieves state of the art (SOTA) results in various downstream language tasks, including question answering, natural languages inference, sentiment analysis and document ranking.

CogwiseAI produces text-based responses to user inputs using a generative model. The model understands patterns and relationships within human language because it has been trained on a large corpus of text. Our technology uses sophisticated machine learning algorithms to analyse blockchain data to make informed trading decision. This type of AI-based trading can help traders and investors identify trends, predict market movement, and make profitable deals based on real time data. AI bots can be used to create virtual characters that interact with humans within a virtual environment. Our trained model provides traders with real-time analysis and predictions, as well as insights on global, blockchain, and crypto topics. It identifies opportunities for trading, offers automated execution and customizable strategies to maximize profits.

Allganize's AI solutions are the industry leader and provide businesses with the best tools to automate employee and customer support. Within the first four months of implementation, automate 72% of all monthly support tickets. Our AI will automate simple customer requests, allowing your agents to focus on more complicated issues. Employees can ask questions and find answers from multiple documents in a conversational manner. Pre-trained conversational AI chatbot for your websites that automates customer support. Intelligent search that instantly extracts precise answers from any document. Automated extraction of key words from any document and classification, providing valuable insights. Uses natural language to understand the context of product reviews and detect positive and negative experiences. To accurately determine user intent, assigns predefined categories to customer support conversions.

Video analysis that accurately recognizes more than 20,000 objects, places, or actions. Rich metadata can be extracted at the video, shot, and frame levels. AutoML Video Intelligence allows you to create custom entity labels. Streaming video annotation and object-based triggers allow you to gain near-real-time insights. Highlight reels, recommendations, as well as other tools, can be used to create engaging customer experiences. Over 20,000 objects, places, actions, and actions can be identified in both stored and streaming video. Rich metadata can be extracted at the video, shot, and frame levels. AutoML Video Intelligence allows you to create custom entity labels. You can search your video catalog in the same way as you search documents. You can extract metadata that can be used for indexing, organizing, and searching your video content. You can also control and filter the content to find the most relevant. You can get insights from your video in real-time with streaming video annotation.

Monitor, monitor, and improve your cyberhealth throughout your entire ecosystem. Threat Meter provides an outside-in view into the security status of your entire IT infrastructure. Threat Meter allows you to see how your security posture compares with other risk categories based on the frequency at which you choose to monitor. You can identify and minimize external risks by learning about exploitable weaknesses, compliance issues as well as misconfigurations, open ports, and other issues. Detect and identify impersonating domains, social accounts, and mobile apps. Stop them before they target customers or employees. Monitor the surface, dark, and deep web. Track exposed data across online file storage, criminal forums and code repositories. Get the best insight into different phishing threats. Find typo squatting domains and phishing pages and take them down.

Empower your product with AI. Our platform provides a wide range of pre-built models, as well as a user-friendly interface with no-code for custom models. Integrate AI seamlessly into applications to gain a competitive advantage. Sentiment analysis is also known as opinion-mining. It is the process of extracting and categorizing subjective information from text, such as reviews, comments on social media, or customer feedback. In recent years, this technology has grown in importance as more companies use it to understand the opinions and needs of their customers and make data-driven decision that can improve products, services, or marketing strategies. Sentiment analysis helps companies to understand customer feedback, and make data-driven decision that can improve their products, service, and marketing strategies.

Make smarter, faster and more informed decisions Enterprise Document Intelligence Platform turns data into actionable insights. Our platform is a combination of cognitive Machine Learning and Natural Language Processing algorithms that automatically classify, extract and enrich relevant information from your documents. The solution is provided as a service to reduce ownership costs and speed up time to value. How it works CLASSIFY. Ingest structured, semistructured, and unstructured documents. Identify and classify documents using semantic understanding of language and visual cues. Extract. Extracts words, phrases, and sections from printed, handwritten, or tabular data. Detects the presence or absence of a page annotation or signature. You can easily review the extracted data and make corrections. AI uses human corrections for learning and improvement. Enrich. Enrich.

Choose two custom cell groups and compare their top differentially-expressed genes. Use millions of cells in the integrated CZ CELLxGENE Corpus for powerful analyses. Use an interactive, no-code interface to perform interactive analyses of a dataset. Explore how spatial, environmental and genetic factors influence gene expression patterns. Use published datasets to understand them or as a starting point for identifying new cell subtypes and states. Census allows you to access any custom slice of standard cell data from CZ CELLxGENE in R or Python. Explore an interactive encyclopedia that contains 700+ cell types, detailed definitions, markers genes, lineage and relevant datasets. Browse and download 1,000+ datasets and hundreds of standardized data sets that characterize the functionality of healthy human and mouse tissues.

Patentfield is an advanced patent search and analysis tool that combines advanced searching, data visualizations, AI functions, etc. It is not just for searching. It also has AI semantic searches and AI classifications to screen patents faster. AI has been learning the meanings of words from over 10,000,000 data patents to find similar patents. You can quickly find patent literature that is similar to the technology by scoring it in descending order. Similar image search allows users to enter image data, and then search for patents or design publications with similar images. The system supports multiple drawings. This allows for similar image searches to be performed based on six views of a design or a combination exterior and interior structure images in patents.

Fluxguard offers cloud-based website monitoring. Locate errors, defacement or other business-critical website modifications, even on complex web apps and multi-page, multistep sequences. Filter out irrelevant changes. To alert IT staff and business users to any changes to web pages, create simple rules. You can also delegate the analysis and monitoring to one of our Solution Architects, who will optimize monitoring and create a change report. Natural Language Processing is used to simplify monitoring. This allows variation detection of the extracted features of a document, such as people and products. These insights can be used to create compelling dashboards or unique interrelationship analysis. Staff remediation, analysis, and investigation will be done quickly with the change summaries. You will receive detailed reports as soon changes are detected.

High-quality content metrics sourced directly from Google help you establish domain expertise and drive organic traffic to your website. Show your expertise by focusing on topics that are relevant to your audience and filling any information gaps. Identify yourself as a knowledge hub by providing contextually related articles that encourage search engine bots. Your competitors' topic secrets can help you climb the SERP ranks. To identify questions or ideas that interest you, user insights are extracted from Google Suggest. Next, select from billions keywords directly from Google Keyword and Google Suggest Database to satisfy customer intention and improve your credibility. Zen metrics can be used to identify keywords that users are searching for, and to organize them according to the stages of your SEO campaign. Proprietary technology to use Allintitle data to identify keywords that have high conversion rates and low competition.

Only purpose-built contract data management solution for financial service. Drag & Drop, bulk load, or use the API to securely feed scans into Lyncs. Upload entity reference data to ensure accurate scan organization. Automated duplicate detection and machine-learning & rules hybrid automatic-classification provide more accurate results. Scans are organized by date, type, and entity. This allows for the correct extraction of terms accounting to amend chains. There are many methods to automatically extract data from documents. These include machine learning, pre-defined rules and user-assisted data collection. This combination of machine learning and user-assisted data extraction allows for the most precise and efficient data capture. A role-based workflow underpins all stages of document processing. Documents can be locked to prevent others from making changes, assigned and promoted to specific users or rejected to other workflow states. Full version tracking, audit, and data 'time machine'.

Smartlogic's Semantic AI platform Semaphore uncovers qualified contextual data using an integrated platform that identifies enterprise information. It has the capabilities to create and manage active metadata, semantic metadata, and information extraction. Semaphore is a platform for cognitive applications, such as intelligent contextual search, enriched processing automation, relevant recommendation engines and customer experience. It also supports regulatory compliance, contract management, information security, and contract lifecycle management. Boost customer experience, operational efficiency, risk management, and marketing effectiveness. To streamline support and provide the right information at the right moment, connect your organization's language with your customer's. Reduce costs, close the compliance gap and enforce best practices in governance.

Beosin EagleEye offers 24/7 security monitoring and notification services for blockchain. It sends customers security alerts and warnings whenever it detects risks such as hacker attacks, frauds or flash loans. 1. 24x7 Monitoring of Blockchain Project Security 2. Risk Transaction Identification: Large Outflow, Flash Loans, Privileged Operation and Exploiter, among others. 3. Alerts and warnings in real-time about security incidents 4. Based on Off-chain and On-chain Data Analysis 5. Multi-dimensional Security Assessments 6. Notification of Blockchain Sentiment Support User Interface & Method API

The era of Big Data is here, where data-driven insights can transform your business. The solution is here: a powerful, innovative, and adaptive platform that provides all the features you need to search, discover, and analyze your data. It is called 3RDi "Third Eye" It is the semantic search engine your company needs to take action, increase revenues, and cut costs. It is powered by NLP and semantic searches and designed for multidimensional information analysis as well as easy search relevancy management. The comprehensive, scalable platform that solves every problem in search and text mining. It can manage unstructured content and extract deeper insights that will help you grow your business. 3RDi is more than a search engine. It offers a complete suite of solutions for text mining and enterprise search, as well as content integration, governance, analytics, and much more.

Klevgrand's upgraded Haaze 2 v2 is a great solution to control stereo width and spatially position a sound in a stereo mix. Regular L-R panning doesn't mimic real-world acoustics. This is especially evident when trying to place mono sounds naturally in a stereo mix (especially with headphones). It still feels very "mono" Haaze, an audio plugin, makes positioning more natural, understandable, and pleasant for the ears. It divides the audio signal into 16 frequency band. You can adjust the width of each band by changing the delay (which will make listeners believe that the sound is coming from the right or left), pan it to the right or left, or make the lower frequencies more concentrated in the middle. You can also diffuse mono signals and make them wider with Haaze. This sounds complicated?