Alternatives to Utelly

Qloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.

Luigi's Box is a unique technological solution that uses AI to bring customers only relevant search results and personalized product suggestions, enhances the user experience, and unlocks the potential of your business. It is a year-by-year awarded easy-to-operate solution with a support team that acts in the interest of your continuous success. Luigi's Box offers easy no-code self-service integration - you only need to paste the tracking script into the header of your web. But there is more; we understand that every platform has different needs and preferences, and therefore we offer several more integration options to choose from. Luigi's Box offers several advanced features to increase search relevance and revenue and avoid fruitless searches and other unnecessary troubles, which reached out and helped companies such as O2, Mountfield, and Dr.Max. These use cases are proof that Luigi's Box is suitable for any business or industry platform on the online market.

Algolia is an API platform for dynamic experiences that helps businesses maximize the speed of search and discovery, while solving the pain of relevance tuning through AI. Accessing the right piece of content on websites and apps has never been faster or more intuitive. Algolia Search is a powerful, fully hosted API that delivers content to users in milliseconds. Developers can customize the relevance of their user experience and get insights on how users interact with it. Algolia Recommend is a robust API that allows you to build unique product recommendations into any digital e-commerce experience.

The fastest way to relevant search and recommendations. Increase engagement, conversion and revenue using a configurable, real-time system. We help your users find the content or products that are most relevant for them by surfacing those products. We do this while taking into consideration your business objectives in order to ensure that all sides of your marketplace or platform are being optimized fairly. Shaped is an automated, real-time recommendation system that consists of four stages. It contains all the data, machine-learning, and infrastructure required to understand and serve your discovery needs at scale. Connect and deploy quickly with direct integration into your existing data sources. Ingest and rerank in real-time based on behavioral signals. Optimize LLMs and neural rankings models to achieve the best performance. Build and experiment with retrieval and ranking components for any use cases.

Jinni's content-to-audience platform is based on taste and offers revolutionary personalization options for video content discovery as well as targeted digital advertising for entertainment companies. Jinni's Entertainment Genome™, which is made up of thousands of content attributes, or "genes", not only understands subtle differences in TV and film entertainment content but also each individual's entertainment preferences. This allows Jinni to match content titles with the right content titles. Our mission is to be the best content-to-audience platform available for entertainment brands. We use one platform to match and promote entertainment content to the right audience, significantly increasing the profitability of entertainment advertisers and platform operators. Jinni's semantic algorithms, which match content to users' preferences, have set the stage for the next generation in content discovery and recommendations.

Personalized recommendations for entertainment platforms Rumo is a SaaS recommendation engine for entertainment content platforms. Our tool allows you to make personalized recommendations to increase user acquisition, retention, and the discoverability of content. This recommendation system is for creative content. Rumo is a flexible recommendation tool that can be used in any creative industry. Our number one priority will be to help your users find the content that they love. Get an easy overview of what recommendations can be displayed for any given piece. The similarity score is a measure of how items relate to one another. Rumo creates profiles that compile anonymous interactions from users on your platform to provide insight into their tastes and preferences. Each user is unique, so each user requires unique recommendations. Your users should stay longer on your platform. You can become the video clerk that helps customers find new topics and content.

You can orchestrate individual shopper experience at scale. Through brand inspiration and creativity, empower discovery by creating an emotional connection between consumers and brands. Respond to shoppers' needs at every moment. A micro-experience that is unique and relevant to the context of the interaction and the stage they are at in their shopping journey will be a memorable one. All engagement moments can be integrated across all devices, channels and locations to connect the shopper's journey. Optimize every stage of your shopper journey to meet your commercial goals. Your expertise can enhance algorithm-driven intelligence. Your technology stack should evolve. Keep your focus on the innovation components that make an impact. Eliminate silos with a single intelligence layer that delivers actionable insight.

Search.io is reengineering search to give developers the tools to create intelligent searches in hours and not months. Search.io optimizes search results automatically based on customer data and business data. Developers can implement advanced capabilities such as A/B testing and reinforcement learning in just a few lines. This is a significant improvement over the months it would take to implement. Search.io allows thousands of businesses to offer highly-intelligent searches on their websites, stores, or applications.

To get people consuming, subscribing, and engaging with your content, Froomle provides AI powered recommendations that help your user access the right content regardless of the channel. Froomle is composed of experts in recommender systems for the digital publishing & eCommerce industry allowing us to offer an extensive catalog of specialized modules that are tailored to meet your specific business needs.

Show your customers that you are able to understand them and earn their trust. Google has spent years creating recommendations across its flagship properties, such as YouTube, Google Search, Google Ads, and Google Search. Recommendations AI uses that machine learning expertise and experience to provide personalized recommendations that are tailored to each customer's preferences and tastes across all touchpoints. Customers will love more of the things they love. You don't need to preprocess data or train or hyper-tune machine-learning models, load balance or manually provision your infrastructure for unpredictable traffic spikes. We do it all automatically. Google's machine learning models and expertise in recommendation technology allow you to take advantage of their expertise. They can correct for seasonality and bias, and excel in situations with long-tail items and cold-start users. Integrate data, manage models and make recommendations to improve performance.

Personalized suggestions--discovered through the things you already love. TasteDive allows you to discover new music, movies and TV shows, books, authors and games, as well as people who share your interests. You can also get suggestions as a visitor by using our recommendation engine. You can also stay a while, create a profile, discover interesting people and learn about cool movies, books, or games by visiting their profiles. To experiment with the API, feel free to ask for a few questions. You will need an access key to use the API. This key allows you to make 300 requests per hour. Please include a description of the product and some usage estimates. This will allow us to increase the quota for certain applications that require it, and gain a better understanding about how the service is being used. Register to save your discoveries, create inspirational lists, receive personalized recommendations, and connect with like-minded peers.

Look no further if you are looking for a personalization solution that will increase sales, customer engagement, and provide better insight into your customers than any other solutions. Imagine a tool that knew the preferences of your customers before they visited your site and could recommend the right products to them at the right time. Segmentify provides a personalized shopping experience at every touchpoint for each customer, giving you an advantage over your competitors. Segmentify, powered by machine-learning technology tracks and targets individual website visitors based on their unique online shopping habits better than any personalisation tool on the market. Forbes named us one of the top machine-learning companies to watch.

AI-powered recommendations can increase customer satisfaction and spend. This applies to your homepage, product details, emailing campaigns, and many other areas. We have extensive experience with many domains and sites of all sizes so we can create our own algorithms to meet our clients' needs. You can explore performance metrics and make recommendations to meet your personalization requirements. The interface is simple and easy to use for all members of your team. The recommendation engine is made possible by the RESTful API and SDKs that support multiple programming languages.

roboMUA, an AI startup, is revolutionizing how people shop for beauty products. Our platform uses advanced machine-learning & artificial intelligence algorithms, an augmented reality system, and unique inclusive data sets covering over 100 skin colors to provide personalized recommendations for beauty products. This includes skincare, makeup, and fashion (shape/bodywear), all from the convenience of your smartphone. No need to visit a store. Our platform also offers a variety of educational tools and resources to help users make informed decisions about their beauty regimens, such as curated makeup tutorial videos that showcase specific makeup products from different brands. Over 50 beauty brands are currently represented in our algorithms. We offer custom algorithms via cloud APIs and Chrome Extension, Shopify Apps, Android and iOS Mobile Apps. roboMUA is developing the next-generation beauty retail using AI. roboMUA is your personal makeup artist in your pocket.

Klevu is an intelligent site-search solution that helps e-commerce businesses increase their onsite sales and improve customer online shopping experience. Klevu powers the navigation and search experience for thousands of enterprise and mid-level online retailers. It leverages advanced semantic search, natural word processing, merchandising, and multilingual capabilities to ensure that visitors to your site find exactly the information they need, regardless of device or query complexity.

Only business platform that offers a rights-managed music catalogue for single point service of catalogs and rights. The most important core metadata in the music industry, normalized and validated to ensure accurate rights identification. No matter how complicated your requirements, we can help you create your licensing strategy. You can reduce your launch time by as much as a year using the MediaNet platform. Labels and publishers trust MediaNet to distribute content, process metadata and manage security. MediaNet's modular services allow you to manage your catalog, delivery requirements, expanded licensing strategies, and manage your delivery requirements. Track and artist suggestions are available to users browsing the catalog. Recommendations are based on usage patterns. Access our content catalog via custom XML streams to improve performance and reduce calls. Music tracks can be delivered directly to users via the MediaNet platform, without the need of content ingestion.

Viz One gives broadcasters, sports leagues and other content creators all the tools, workflows and flexibility they need to control all their media assets. Viz One consolidates your media asset management tasks, allowing for end-to-end management. It makes it easy to ingest your valuable content, discover it, edit it, distribute and archive. Viz One is an easy-to-use, scalable platform that allows you to easily ingest, edit and deliver content. Viz One is a key component of many broadcasters' content production workflows. It is the unsung hero who makes it possible to bring content to air. Viz One allows you to import live feeds, files, and metadata to enrich content for rapid search and discovery. You can also edit and produce content in a browser.

You can scan and index metadata, discover and profile information, and provide detailed lineage across tens to millions of data sets. To maximize data reuse and data value, classify and organize data assets in any environment. Automate scanning across multiple cloud platforms, BI tools and ETL tools; and data types. AI-powered domain discovery, data similarities, business term associations, recommendations, and recommendation making are possible. You can track data movement from high-level system views through to fine column-level lineage and get detailed impact analysis. The Data Asset Analytics dashboard allows you to see asset usage, enrichment, collaboration. You can view data quality rules, scorecards and metric groups in context. You can tap into shared data knowledge through certifications, ratings, reviews, a Q&A forum, and change notifications. Informatica stands out from the rest with its extensive range of enterprise-grade data management products.

Graphlit simplifies the process of building an AI copilot or chatbot or adding LLMs to your existing application. Graphlit is a serverless platform that automates complex data processes, including data ingestion and extraction, LLM conversations. It also integrates webhooks, alerting, semantic search, and alerting. Graphlit's workflow as code approach allows you to programmatically define every step in the workflow. Data ingestion, metadata indexing, data preparation and data enrichment. Integration with your applications is achieved through event-based webhooks, API integrations, and integrations with event-based Webhooks.

Dekoo, Asia's independent global company, offers Unbiased search results, its own crawler and indexing algorithms, along with AI/ML technology, Tier 4 Datacenters, and Content Delivery Networks around the world. It aims to give users a comprehensive search experience, with more local information, webstes and content on the web. Dekoo's ability to understand the user's intent is a key feature. Modern search engines use natural language processing to better understand a user's query. This allows them provide more relevant search results. Search engines like Dekoo offer more than just traditional web page results. They also provide features such as video search, image search, and news results.

Galileo, by GISDATA.io, revolutionizes how geospatial information is accessed and used. Galileo aggregates datasets from multiple sources into a single user-friendly platform. This allows for advanced spatial and metadata specific search capabilities. This ensures quick and precise access the most relevant geospatial data. Galileo is designed for professionals working in the surveying, mapping and engineering industries. It also benefits those who work in environmental consulting and scientific consulting. The platform is powered a proprietary data indexing and discovery pipeline that ensures regular updates and comprehensive coverage. Galileo's extensive data collection includes 750,000 datasets from ESRI servers. Galileo is distinguished by its intuitive interface that makes it accessible to both novice and experienced users. It also saves valuable time and resources.

Oracle Enterprise Metadata Management is a comprehensive platform for managing metadata. OEMM can extract and catalog metadata from any metadata provider, including relational and Hadoop, ETL and BI, as well as data modeling and many others. OEMM is more than a metadata repository. It allows interactive searching and browsing of metadata, as well as providing data lineage and impact analysis, semantic definition, and semantic usage analysis for all metadata assets within the catalog. The advanced algorithms of OEMM combine metadata from all providers to provide the complete data path from source to report or vice-versa. OEMM supports almost any metadata provider, including data modeling tools, databases and CASE tools, Hadoop engines, ETL engines. Warehouses, BI, EAI environments and many others.

Aspen is a fully-featured Open Source Discovery System. It integrates with eContent, and other third-party suppliers to give your patrons access to your entire collection in one place. Aspen combines the library catalog with eContent, digital archives and enrichment from major third-party suppliers. It also improves relevance and ease of usage, provides native reading suggestions, displays all formats within one result (FRBR), among other things. Aspen was designed to provide a better user experience than other Discovery systems while having a lower impact on library budgets.

Intelligent content discovery platform and scalable search for personalized user experience. Users can now access updated content on their favourite personalities, topics, and categories without having to input any information. MediaSense automates the creation of metadata for video, text and other content. Our engine generates content suggestions across all pages including home pages, content detail pages and category pages. It also offers in-video suggestions. Learn how users react to different content pieces and what user segments do with consumed content. You can target individual users or segments of users by sending tailored messages.

Talend Data Catalog provides your organization with a single point of control for all your data. Data Catalog provides robust tools for search, discovery, and connectors that allow you to extract metadata from almost any data source. It makes it easy to manage your data pipelines, protect your data, and accelerate your ETL process. Data Catalog automatically crawls, profiles and links all your metadata. Data Catalog automatically documents up to 80% of the data associated with it. Smart relationships and machine learning keep the data current and up-to-date, ensuring that the user has the most recent data. Data governance can be made a team sport by providing a single point of control that allows you to collaborate to improve data accessibility and accuracy. With intelligent data lineage tracking and compliance tracking, you can support data privacy and regulatory compliance.

Overcome challenges when acquiring data to train AI and machine learning systems. Rendered.ai, a PaaS, is designed for data scientists and engineers. Create synthetic datasets to train and validate ML/AI. Experiment with scene content, sensor models, and post-processing. Catalogue and characterize real and synthetic datasets. Download or move data into your own cloud repositories to be processed and trained. Synthetic data can be used to boost innovation and productivity. Create custom pipelines for modeling diverse sensors and computer-vision inputs. Python sample code is available for free and can be customized to model SAR, RGB Satellite imagery, and other sensor types. Flexible licensing allows for almost unlimited content creation. Create labeled, high-performance computing content quickly in a hosted environment. No-code configuration allows data scientists and engineers to collaborate.

Fully managed and highly scalable metadata and data discovery service. New customers receive $300 in Google Cloud credits for free during the Free Trial. All customers receive up to 1 MiB business or ingested meta data storage and 1,000,000 API calls free of charge. A simple, but powerful faceted search interface allows you to pinpoint your data. Automatically sync technical metadata and create schematized tags to support business metadata. Cloud Data Loss Prevention integration allows you to automatically tag sensitive data. Access your data immediately and scale without the need to manage or set up infrastructure. With a powerful UI built with the same search technology that Gmail or API access, empower any member of the team to find and tag data. Data Catalog is fully managed so that you can easily start and scale. Cloud IAM integrations and Cloud DLP integrations allow you to enforce data security policies and ensure compliance.

VectorDB is a lightweight Python program for storing and retrieving texts using chunking techniques, embedding techniques, and vector search. It offers an easy-to use interface for searching, managing, and saving textual data, along with metadata, and is designed to be used in situations where low latency and speed are essential. When working with large language model datasets, vector search and embeddings become essential. They allow for efficient and accurate retrieval relevant information. These techniques enable quick comparisons and search, even with millions of documents. This allows you to find the most relevant search results in a fraction the time of traditional text-based methods. The embeddings also capture the semantic meaning in the text. This helps improve the search results, and allows for more advanced natural-language processing tasks.

Data acquisition and data monetization simplified. We also help data providers earn more money using AI tools. Everyone wins. AI solutions enable seamless discovery and insights for the buyer, and a seamless publishing and marketing experience for the seller. UnionAll allows you to launch your own branded data marketplace, with features like data discovery, AI-based semantic search, portfolio creation, etc. A more sophisticated data buying experience will expand your customer base and attract non-technical data buyers. Describe your business and receive AI-driven suggestions on datasets to be sold along with a business case estimate. UnionAll's intuitive user interface simplifies data listing tasks. UnionAll automates data categorization and listing descriptions.

Get valuable insights from your audio and video files Automatically extract metadata from video and audio files. This includes spoken words, written texts, faces, speakers and celebrities, emotions, brands, topics and scenes. Access your application's data, make it more discoverable, then use it to create new OTT experiences and monetization opportunities. Get a free trial of the web experience or API.

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.

Our customers can leverage their data fabric to achieve remarkable outcomes in automation, data-driven decision making and other areas. We provide a complete view into the data supply chain through ingestion, indexing and data remediations. This allows businesses to scale, increase their profitability, and realize measurable impact. Through a robust, scalable data pipeline, we can ingestion data from client data lakes to secure storage systems. Advanced image classification techniques and NLP techniques allow for quick validation, classification, and categorizing of scanned documents. The user can search the data using a query interface and personalizable dashboard. The results will be presented in readable format so that they can bookmark, filter, or restructure the view.

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.

Wikimedia Enterprise metadata is available for Wikimedia Enterprise. You can retrieve data from Wikimedia projects in any languages, as well as metadata that has been specifically created for Wikimedia Enterprise. Unlock the potential in your organization. Wikimedia Enterprise can be used to create knowledge graphs, voice assistants, bots, training models, large enriched datasets, etc. With a single structure and guaranteed availability, you can access one of the largest public data resources on the internet. This is great for voice assistants, populating search engine results, training machine learning models, augmenting private databases, and many other uses. Your entire organization can have a knowledge graph that can easily be shared between teams.

Redis Enterprise offers powerful real-time querying, indexing, and full text search engines. It is available both on-premises as well as managed in the cloud. It is optimized for performance by using in-memory data structure implemented in C. Scale up and partition indexes across multiple shards or nodes for increased speed and memory capacity. You can continue operations in any scenario thanks to Active-Active failover and five-nines availability. Redis Enterprise real time search allows you create primary and secondary indexes quickly on JSON and Hash datasets. This is done using an incremental indexing method for quick index creation and deletion. The indexes allow you to query data at high speed, perform complex aggregates, filter by properties and numeric ranges, as well as filter by geographical distance.

Azure Cognitive Search is the only cloud service that integrates AI capabilities to enrich all types information and make it easy to identify and explore relevant content on a scale. It was formerly known as Azure Search. It uses the same integrated Microsoft natural-language stack that Bing, Office, and others have used for over a decade and AI services across vision and language. Spend more time innovating than maintaining complex cloud search solutions. You can quickly deploy a search index and avoid any operational maintenance. This cloud search service is fully managed and reduces the complexity of data input and index creation. It integrates with popular Azure storage solutions, and exposes index functionality via a simple REST API and.NET SDK. You can deploy a fully-configured search service that offers intuitive user experiences, such as suggestions, faceting, synonyms, and geosearch, while avoiding operational overhead.

All the functionality you need for in-depth analysis. Investigators can easily locate Internet History, Downloads and Locations with advanced filtering and AI media categorization. Get registry artifacts such as jump list, Windows 10 timeline activity and shellbags, SRUM and more from Windows Memory. Windows Volume Shadow Copies allows you to review device history. Review device history from Windows Volume Shadow Copies. Display and search Spotlight metadata, KnowledgeC data, and Time Machine backups. Also, review network connections, recent documents and user activity. Data can be imported into Cellebrite Pathfinder and Berla, APOLLO, and ICAC tools like Project Vic and PhotoDNA. Use customized reporting capabilities to share your case findings with other stakeholders. This workstation is designed to handle the most complex datasets in digital intelligence and eDiscovery.

Log management and security analytics solutions can be implemented to improve compliance and speed up forensic investigation. Big-data search, visualization and reporting are key to identifying and defeating threats. You can access terabytes from any source. SmartConnectors can make SIEM log management easier. They collect, normalize and aggregate data from over 480 source types. Source types include clickstreams, stream traffic, security devices and web servers. The columnar database of ArcSight Recon responds faster to queries than traditional databases. This allows you to efficiently and quickly investigate millions of events. It allows for threat hunting in large datasets, which allows security analytics at scale. ArcSight Recon reduces compliance burden by providing content that facilitates regulatory requirements. Its built-in reports reduce the time it takes to document compliance.

Many customers of Amazon Web Services (AWS), require data storage and analytics solutions that are more flexible and agile than traditional data management systems. Data lakes are a popular way to store and analyze data. They allow companies to manage multiple data types, from many sources, and store these data in a central repository. AWS Cloud offers many building blocks to enable customers to create a secure, flexible, cost-effective data lake. These services include AWS managed services that allow you to ingest, store and find structured and unstructured data. AWS offers the data solution to support customers in building data lakes. This is an automated reference implementation that deploys an efficient, cost-effective, high-availability data lake architecture on AWS Cloud. It also includes a user-friendly console for searching for and requesting data.

Logilab SDMS is an established and reliable Scientific Data Management System that can capture data from any type, make, or manufacturer of analytical instrument, making it a versatile tool for scientific research and experimentation. This system allows for the capture and archiving of both instrument data and metadata to a secure and dedicated server, which serves as a single point of truth for all scientific data. Logilab SDMS has been primarily designed to capture, catalog, and archive instrument raw data and files, along with their associated metadata. The tagging system enables data to be indexed into catalogues and archived for long-term purposes, ensuring that scientific data is readily available whenever it is needed. Furthermore, with Logilab SDMS, laboratories can confidently face audits knowing that their scientific data is organized, archived, and readily available for review.

Build your RAG system intuitively with fewer abstractions than solutions like LangChain. You can choose from a variety of hosted and remote providers, including vector databases, datasets and Large Language Models. SciPhi allows you to version control and deploy your system from anywhere using Git. SciPhi's platform is used to manage and deploy an embedded semantic search engine that has over 1 billion passages. The team at SciPhi can help you embed and index your initial dataset into a vector database. The vector database will be integrated into your SciPhi workspace along with your chosen LLM provider.

Qlik Data Integration platform automates the process for providing reliable, accurate and trusted data sets for business analysis. Data engineers are able to quickly add new sources to ensure success at all stages of the data lake pipeline, from real-time data intake, refinement, provisioning and governance. This is a simple and universal solution to continuously ingest enterprise data into popular data lake in real-time. This model-driven approach allows you to quickly design, build, and manage data lakes in the cloud or on-premises. To securely share all your derived data sets, create a smart enterprise-scale database catalog.

Kylo is an enterprise-ready open-source data lake management platform platform for self-service data ingestion and data preparation. It integrates metadata management, governance, security, and best practices based on Think Big's 150+ big-data implementation projects. Self-service data ingest that includes data validation, data cleansing, and automatic profiling. Visual sql and an interactive transformation through a simple user interface allow you to manage data. Search and explore data and metadata. View lineage and profile statistics. Monitor the health of feeds, services, and data lakes. Track SLAs and troubleshoot performance. To enable user self-service, create batch or streaming pipeline templates in Apache NiFi. While organizations can spend a lot of engineering effort to move data into Hadoop, they often struggle with data governance and data quality. Kylo simplifies data ingest and shifts it to data owners via a simple, guided UI.

Aquaforest SDK is a powerful toolkit for processing PDFs, including searchable PDF creation, PDF content extraction, and OCR with standard (Aquaforest), engine. OCR with extended engine (Canon IRIS engine) and handwriting OCR options via Google APIs. High performance barcode and advanced PDF toolkit with support for up 64 cores. The SDK can automatically extract name/value pairs from PDF documents. The SDK offers a variety of PDF manipulation capabilities, including PDF merging and PDF attachment processing, XMP metadata processing and PDF/A validation. Every edition of the SDK includes an OCR engine that supports 23 languages. This interface allows you to use Microsoft's and Google's cloud OCR services, which can be particularly useful in special cases like handwriting recognition. The SDK can recognize and read most barcode types.

Spotlight is the default search engine for Mac, iPhone, iPad and iPad. It is essential to have quick access to content in order to create efficient workflows. There are many ways that you can make it easier for people to find your app's content. Spotlight is a powerful search engine that makes it easy for users to find files and content throughout the system. Spotlight allows people to search for things by using meaningful attributes such as the intended audience or orientation of an image. Make your app's content searchable. Spotlight makes it easy to share content. You can make it searchable and add descriptive attributes, also known as metadata. Spotlight stores, extracts, and organizes this information for quick, comprehensive searches. For developer guidance, see Core Spotlight. Define metadata for custom file types. Spotlight Importer plug in that describes the types and content of metadata your file formats contain.

Crux is used by the most powerful people to increase external data integration, transformation and observability, without increasing their headcount. Our cloud-native data technology accelerates the preparation, observation, and delivery of any external dataset. We can guarantee you receive high-quality data at the right time, in the right format, and in the right location. Automated schema detection, delivery schedule inference and lifecycle management are all tools that can be used to quickly build pipelines from any external source of data. A private catalog of linked and matched data products will increase your organization's discoverability. To quickly combine data from multiple sources and accelerate analytics, enrich, validate, and transform any data set, you can enrich, validate, or transform it.

To better understand your customers, you must understand their behavior and intent. So that you can suggest items they are interested in. RetailSense's offer engine allows you to create and automate dynamic offers suggestions at different stages in the user journey to draw repeat buyers and first-time users. A search service that includes auto-correct, search by attributes and brands, as well as innovative auto-suggestions can be used to make powerful discovery. Search inputs can be used to enrich user personas. You can target specific segments with personalized push notifications and offer emails.

Venture Capital and Private Equity investors can harness the power of alternative data to source, track, and do due diligence. Alternative data can provide rich signals about the universe of private businesses, solving the problem with limited financial or traditional data. To unlock investment insights, it is best to create a holistic view by consolidating different datasets to analyze companies' performance. Credit card data, bank transaction data, and retention cohorts. User reviews, Net Promoter Scores, product ratings. Mobile and web activity across devices and domains. With detailed query-based searches, you can find companies that are relevant to your needs. Multi-metric analysis provides performance indicators on companies. Use our AI-suggested peer comparators, or create your own peer groups for the companies that you are interested in tracking.

Amazon Neptune is a fully managed graph database service that allows you to quickly and reliably build applications that can work with highly connected data sets. Amazon Neptune's core is a purpose-built graph database engine that can store billions of relationships and query the graph with only milliseconds latency. Amazon Neptune supports the popular graph models Property Graph, W3C's RDF, as well as their respective query languages Apache TinkerPop Gremlin, SPARQL. This allows you to quickly build queries that efficiently navigate large datasets. Neptune supports graph use cases like recommendation engines, fraud detection and knowledge graphs. It also powers network security and drug discovery.

To have complete control over your data, harness the power of data discovery, data lineage and a data catalogue. It can quickly navigate through complex data landscapes. Access the most comprehensive automated data lineage and discovery system. This gives you unprecedented visibility and trust in the most complex data environments. Octopai extracts metadata from all data environments. Octopai can instantly analyze metadata in a fast, secure, and easy process. Octopai gives you access to data lineage, data discovery, and a data catalogue, all from one central platform. In seconds, trace any data from end to end through your entire data landscape. Find the data you need automatically from any place in your data landscape. A self-creating, self updating data catalog will help you create consistency across your company.