Alternatives to Coactive

OpenText™, Unstructured Data Analytics Products use AI and machine learning in order to help organizations discover and leverage key insights that are hidden deep within unstructured data such as text, audio, videos, and images. Organizations can connect their data at scale to understand the context and content locked in high-growth, unstructured content. Unified text, speech and video analytics support over 1,500 data formats to help you uncover insights within all types media. Use OCR, natural language processing and other AI models to track and understand the meaning of unstructured data. Use the latest innovations in deep neural networks and machine learning to understand spoken and written language in data. This will reveal greater insights.

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

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

The Unity Catalog from Databricks stands out as the sole comprehensive and open governance framework tailored for data and artificial intelligence, integrated within the Databricks Data Intelligence Platform. This innovative solution enables organizations to effortlessly manage structured and unstructured data in various formats, in addition to machine learning models, notebooks, dashboards, and files on any cloud or platform. Data scientists, analysts, and engineers can securely navigate, access, and collaborate on reliable data and AI resources across diverse environments, harnessing AI capabilities to enhance efficiency and realize the full potential of the lakehouse architecture. By adopting this cohesive and open governance strategy, organizations can foster interoperability and expedite their data and AI projects, all while making regulatory compliance easier to achieve. Furthermore, users can quickly identify and categorize both structured and unstructured data, including machine learning models, notebooks, dashboards, and files, across all cloud platforms, ensuring a streamlined governance experience. This comprehensive approach not only simplifies data management but also encourages a collaborative culture among teams.

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

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

NovaceneAI provides a sophisticated platform that leverages artificial intelligence to convert unstructured text data into meaningful insights on a large scale. It empowers data engineers and scientists with extensive control via a versatile RESTful API and a robust interface, while also ensuring a seamless web-based experience for business analysts. The platform includes theme-oriented analysis tools to monitor sentiment related to specific themes, enabling users to pinpoint experience areas from open-ended feedback and assess sentiment in context. Designed to minimize the manual labor associated with organizing unstructured data, it allows analysts to dedicate more time to uncovering valuable insights. Trusted by prominent organizations such as KPMG, ArgylePR, Advanced Symbolics, ListedTech, Laval University, and Toronto Metropolitan University, NovaceneAI enhances operational efficiency and fosters consistent, systematic outcomes. This innovative solution not only streamlines data processing but also elevates the decision-making capabilities of businesses and institutions alike.

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

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

Qubole stands out as a straightforward, accessible, and secure Data Lake Platform tailored for machine learning, streaming, and ad-hoc analysis. Our comprehensive platform streamlines the execution of Data pipelines, Streaming Analytics, and Machine Learning tasks across any cloud environment, significantly minimizing both time and effort. No other solution matches the openness and versatility in handling data workloads that Qubole provides, all while achieving a reduction in cloud data lake expenses by more than 50 percent. By enabling quicker access to extensive petabytes of secure, reliable, and trustworthy datasets, we empower users to work with both structured and unstructured data for Analytics and Machine Learning purposes. Users can efficiently perform ETL processes, analytics, and AI/ML tasks in a seamless workflow, utilizing top-tier open-source engines along with a variety of formats, libraries, and programming languages tailored to their data's volume, diversity, service level agreements (SLAs), and organizational regulations. This adaptability ensures that Qubole remains a preferred choice for organizations aiming to optimize their data management strategies while leveraging the latest technological advancements.

Organizations today contend with vast amounts of unstructured data, including news articles, reports, presentations, videos, and more. While there is significant competitive advantage for those who can effectively harness this data, a mere 1% of organizations manage to utilize it as a strategic resource. Adarga's innovative knowledge platform is designed to process unstructured data with a speed that exceeds human capabilities, presenting insights in formats that are easy to understand. This enables users to expedite reporting, navigate complex scenarios, and decipher intricate networks through built-in AI features that support enhanced human decision-making. Moreover, the Adarga platform revolutionizes productivity by automating tasks that require extensive time and knowledge, ultimately extending human potential. By employing advanced AI methods such as natural language processing and network science, it swiftly analyzes and synthesizes unstructured data into a cohesive, secure software solution. As a result, organizations can unlock new opportunities and drive their strategic initiatives forward more effectively than ever before.

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

Intelligent document processing streamlines the management of data contained within documents by contextualizing, comprehending, extracting, and directing the information appropriately. Acodis enables you to accomplish all these tasks in mere seconds. The abundance of unstructured data embedded in documents is a persistent challenge, which is precisely why Acodis was created—to facilitate data extraction from any document, regardless of language. Achieve structured data retrieval from any document utilizing machine learning in just seconds. You can easily construct and merge document processing workflows with just a few clicks, eliminating the need for any coding. After capturing and automating your document data, you can seamlessly integrate this process into your current systems. Acodis boasts a user-friendly interface, which empowers your team to automate document-related tasks and allows for quicker decision-making backed by machine learning. Leverage the REST client in your preferred programming language to integrate with your existing business applications. This flexibility ensures that your document processing capabilities can evolve alongside your business needs.

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

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

Skimle revolutionizes the way unstructured qualitative data is converted into structured, analyzable datasets through the use of artificial intelligence. In contrast to RAG chatbots that simply retrieve isolated excerpts, Skimle meticulously processes complete sets of documents from the outset—examining each segment, gathering insights, and categorizing them within a structured hierarchy of themes. You can upload various formats of qualitative data such as interview transcripts, PDFs, audio or video files, and reports. The workflow that Skimle employs, which draws inspiration from scholarly thematic analysis, systematically codes every passage, uncovers recurring patterns, and compiles a comprehensive "spreadsheet" where documents are organized as rows and themes as columns. Each insight is directly tied to verified quotes, ensuring accuracy without any fabrication. Supporting over 100 languages and capable of handling more than 1,000 documents per project, Skimle is fully compliant with GDPR regulations applicable in the EU, providing complete traceability between themes and quotes. Users can also enjoy features such as customizable categories, AI-driven chat for reasoning, and options to export findings into Word, Excel, or PowerPoint formats. What sets Skimle apart is its ability to merge the rigorous standards of academic research with the rapid processing capabilities of AI. Tasks that traditionally consume weeks when using NVivo or other conventional tools can be completed in mere hours with Skimle, all while maintaining detailed audit trails essential for peer review and validation. This efficiency not only saves time but enhances the overall research experience, making qualitative analysis more accessible and streamlined than ever before.

Medallia allows users to engage in thoughtful and systematic ways through targeted surveys that are both digital and traditional. Our easy-to-implement survey solutions will ensure that you are gathering relevant and actionable data to make measurable customer impacts. Medallia's AI technology uses machine-learning to analyze structured and unstructured customer survey data. It can uncover sentiment, predict behavior, identify commonalities, and recommend actions to improve customer experiences. Create the most effective surveys to improve customer journeys. You can quickly manage innovation and change in every aspect of your experience management program, from design to emails, questions, and translations. Medallia surveys enable you to

Trifacta's Cloud Dataprep is an advanced data service designed for the visual exploration, cleansing, and preparation of both structured and unstructured datasets, facilitating analysis, reporting, and machine learning tasks. Its serverless architecture allows it to operate at any scale, eliminating the need for users to manage or deploy infrastructure. With each interaction in the user interface, the system intelligently suggests and forecasts your next ideal data transformation, removing the necessity for manual coding. As a partner service of Trifacta, Cloud Dataprep utilizes their renowned data preparation technology to enhance functionality. Google collaborates closely with Trifacta to ensure a fluid user experience, which bypasses the requirement for initial software installations, separate licensing fees, or continuous operational burdens. Fully managed and capable of scaling on demand, Cloud Dataprep effectively adapts to your evolving data preparation requirements, allowing you to concentrate on your analytical pursuits. This innovative service ultimately empowers users to streamline their workflows and maximize productivity.

Playmaker is an innovative document automation solution that converts unstructured data from a variety of sources—such as PDFs, images, spreadsheets, and web content—into organized, actionable formats. With a library of over 100 pre-designed document workflows, including those for financial statements, purchase orders, invoices, and contracts, it helps users optimize processes involving data extraction, validation, and seamless integration with other software applications. Users have the flexibility to upload documents through email, API, or manual methods, and the platform adeptly transforms this unstructured data into well-organized, tabular formats that can drive workflows in more than 300 different applications. Security and compliance are top priorities for Playmaker, as evidenced by its commitment to storing and processing data solely within the European Union and the United States, along with strict adherence to regulations such as GDPR and CCPA. Additionally, the platform implements robust security measures including AES-256 encryption and role-based access control, ensuring that sensitive information remains protected. This comprehensive approach not only enhances productivity but also instills confidence in users regarding the safety of their data.

Scrapeless - Revolutionizing the way we derive insights and value from the immense pool of unstructured data on the internet using groundbreaking technologies. Our goal is to equip organizations with the tools to fully harness the wealth of public data available online. With our suite of products, including the Scraping Browser, Scraping API, Web Unlocker, Proxies, and CAPTCHA Solver, users can effortlessly gather public information from any website. Additionally, Scrapeless offers a powerful web search tool: Deep SerpApi, which streamlines the integration of dynamic web data into AI-driven solutions. This culminates in an ALL-in-One API that enables seamless, one-click search and extraction of web data.

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

Tensorlake serves as a cutting-edge AI data cloud that efficiently converts unstructured data into formats suitable for AI applications. It adeptly transforms various content types, including documents, images, and presentations, into structured JSON or markdown segments that facilitate easy retrieval and analysis by large language models. The document ingestion APIs are capable of handling a wide range of file types, from handwritten notes to PDFs and intricate spreadsheets, while executing post-processing tasks such as chunking and preserving the original reading order and layout. With its serverless workflows, Tensorlake provides rapid end-to-end data processing, empowering users to create and implement fully managed Workflow APIs in Python that can scale down to zero when not in use and seamlessly scale up during data processing tasks. Additionally, it is designed to process millions of documents simultaneously, ensuring that context and interrelations among different data formats are preserved, while also offering robust, role-based access control to enhance team collaboration. This flexibility and efficiency make Tensorlake an invaluable tool for organizations looking to streamline their AI data preparation processes.

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

With the help of AI, you can convert your semantic data into actionable insights that will help you make informed strategic decisions and shape your actions. As a leader in the field of Artificial Intelligence and a holder of advanced semantic data processing technologies, Synomia excels at transforming vast quantities of unstructured data into valuable insights, enabling brands to refine their strategies and activation processes. By analyzing significant and subtle market signals, you can uncover future trends that will guide your business direction. Additionally, our expertise allows us to pinpoint the most effective approaches for your digital strategies. We are proficient in all semantic AI technologies, applying them based on the specific needs of our clients, including supervised and unsupervised machine learning as well as rule-based systems. The capabilities of semantic AI empower the analysis of numerous sources and facilitate the development of methodologies focused on innovation and exploration, which are essential for creating strategies that resonate with target audiences. In today’s rapidly changing market, leveraging these insights is crucial for staying ahead of competitors and meeting consumer demands effectively.

Incorporate a cutting-edge Semantic AI platform to create intelligent applications and systems. Utilize PoolParty to streamline the process of metadata generation, ensuring that information is easily accessible for use, sharing, and analysis. By bridging the gap between unstructured and structured data, PoolParty effectively connects disparate data sources across various databases. Experience the advantages of advanced graph-based data and content analytics powered by top-tier machine learning methods. Leverage your data effectively, as PoolParty enhances its quality, resulting in more accurate outcomes from AI applications and superior decision-making capabilities. Discover why leading global corporations are adopting Knowledge Graphs and why your organization should follow suit. Interact with specialists, partners, and client presentations to fully harness the potential of semantic technologies and holistic views. We have successfully assisted more than 180 enterprise-level clients in overcoming the complexities of information management, fostering a more efficient data landscape. Embrace these innovative solutions to stay ahead in a rapidly evolving digital world.

The future of artificial intelligence hinges on unstructured data. Embrace this potential now by creating a scalable ML/AI pipeline that consolidates all your unstructured data within a single platform. By leveraging superior data, you can develop enhanced models, exclusively with Graviti. Discover a data platform tailored for AI practitioners, equipped with management capabilities, query functionality, and version control specifically designed for handling unstructured data. Achieving high-quality data is no longer an unattainable aspiration. Centralize your metadata, annotations, and predictions effortlessly. Tailor filters and visualize the results to quickly access the data that aligns with your requirements. Employ a Git-like framework for version management and facilitate collaboration among your team members. With role-based access control and clear visual representations of version changes, your team can collaborate efficiently and securely. Streamline your data pipeline using Graviti’s integrated marketplace and workflow builder, allowing you to enhance model iterations without the tedious effort. This innovative approach not only saves time but also empowers teams to focus on creativity and problem-solving.

SOLIXCloud CDP provides a cloud-based data management solution tailored for contemporary data-centric businesses. Utilizing open-source and cloud-native technologies, it enables organizations to effectively handle and analyze their structured, semi-structured, and unstructured data, facilitating advanced analytics, regulatory compliance, infrastructure efficiency, and robust data security. Key components of this platform include Solix Connect for efficient data ingestion, Solix Data Governance, Solix Metadata Management, and Solix Search, collectively forming a holistic framework for managing cloud data. This framework supports the development and operation of data-driven applications, including SQL data warehouses, machine learning models, and artificial intelligence systems, while addressing the increasing complexities associated with data management regulations, data retention policies, and consumer privacy concerns. In this way, SOLIXCloud CDP empowers companies to navigate the evolving landscape of data management with confidence.

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

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

Alactic AGI is an AI platform designed for the cloud that streamlines the processes of ingesting, grounding, and transforming unstructured data—including URLs, images, PDFs, and various documents—into datasets that are ready for use with Large Language Models. By providing contextual precision, scalability, and robust enterprise-level security, it empowers teams to create, refine, and implement AI systems more rapidly and with increased assurance. This innovative platform significantly enhances the efficiency of AI workflows, making it easier for organizations to leverage advanced AI capabilities.

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

UnDatas.IO is a cutting-edge platform dedicated to the parsing and processing of unstructured data. By leveraging sophisticated technology, it automatically identifies document layouts and classifies elements such as tables, images, formulas, and text, which significantly streamlines the data handling process. The platform not only enhances efficiency in data organization but also aids users in deriving meaningful insights, allowing for more informed and strategic decision-making. UnDatas.IO offers robust data support for various fields including academic research, business analysis, and technological innovation. It adeptly recognizes document layouts and can convert them into JSON or markdown formats. Furthermore, APIs facilitate seamless collaboration between different platforms and applications, promoting effective data sharing and the integration of business operations. With UnDatas.IO, launching data-driven projects becomes straightforward, enabling users to enhance productivity and attain superior outcomes. Ultimately, it empowers users to make decisions backed by advanced analytics, transforming the way they approach their data challenges.

Dataleyk serves as a secure, fully-managed cloud data platform tailored for small and medium-sized businesses. Our goal is to simplify Big Data analytics and make it accessible to everyone. Dataleyk acts as the crucial link to achieve your data-driven aspirations. The platform empowers you to quickly establish a stable, flexible, and reliable cloud data lake, requiring minimal technical expertise. You can consolidate all of your company’s data from various sources, utilize SQL for exploration, and create visualizations using your preferred BI tools or our sophisticated built-in graphs. Transform your data warehousing approach with Dataleyk, as our cutting-edge cloud data platform is designed to manage both scalable structured and unstructured data efficiently. Recognizing data as a vital asset, Dataleyk takes security seriously by encrypting all your information and providing on-demand data warehousing options. While achieving zero maintenance may seem challenging, pursuing this goal can lead to substantial improvements in delivery and transformative outcomes. Ultimately, Dataleyk is here to ensure that your data journey is as seamless and efficient as possible.

Data-driven organizations, regardless of their preparedness, face significant challenges stemming from the ever-increasing volume, speed, and diversity of data. As the demand for advanced analytics intensifies, the limitations of infrastructure, time, and human resources become more pronounced. Xurmo effectively addresses these challenges with its user-friendly, self-service platform. Users can configure and ingest any type of data through a single interface effortlessly. Whether dealing with structured or unstructured data, Xurmo seamlessly incorporates it into the analysis process. Allow Xurmo to handle the heavy lifting so you can focus on configuring intelligent solutions. From developing analytical models to deploying them in an automated fashion, Xurmo provides interactive support throughout the journey. Furthermore, it enables the automation of intelligence derived from even the most intricate, rapidly changing datasets. With Xurmo, analytical models can be both customized and deployed across various data environments, ensuring flexibility and efficiency in the analytics process. This comprehensive solution empowers organizations to harness their data effectively, transforming challenges into opportunities for insight.

Rather than creating bespoke scrapers to gather unstructured data, acquire your needed data within moments using our generative AI solution. Simply specify the data, sources, and desired schedule, and Kadoa will automatically generate scrapers tailored to those sources, adapting seamlessly to any changes on the websites. Kadoa not only extracts the data but also guarantees its accuracy, allowing you to receive it in any format you prefer through our robust API. With our AI-driven scrapers, extracting information from any web page is a breeze, requiring no coding expertise. The setup process is quick and straightforward, enabling you to have your data ready in just seconds. This allows you to concentrate on other responsibilities without the concern of frequently shifting data structures. Additionally, our technology helps bypass CAPTCHAs and other obstacles, enabling consistent data extraction that you can set once and forget. The extracted data can be easily utilized in your own projects and tools. Furthermore, you can automatically track market prices, empowering you to make informed pricing decisions while aggregating and parsing job postings from countless job boards. This way, your sales team can dedicate their efforts to discovering and closing deals rather than getting bogged down with mundane tasks like copying and pasting information. With Kadoa, harness the power of data extraction to enhance your business operations efficiently.

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

We gather, reorganize, and analyze data from a variety of documents and forms, such as web pages, PDFs, DOC files, among others. Our expertise encompasses all stages of the ETL (Extract, Transform, Load) workflow. We excel in converting intricate, unstructured data into precise, actionable insights—regardless of the original format. If you are facing a challenging issue that others have been unable to resolve, our nearly two decades of experience in data collection and processing could be the solution you need. AddToIt is here to assist you! We offer our services in both English and Chinese. All operations are conducted within the United States and adhere to US contractual laws. Established in 2000 and located in Bedford, Massachusetts, AddToIt.com, Inc. focuses on creating innovative technologies aimed at accessing unstructured data effectively. Our business model revolves around delivering data as a service, ensuring we remain customer-oriented and committed to providing services of the highest quality at competitive rates. Furthermore, we pride ourselves on adapting our solutions to meet the unique needs of each client.

Raw data resembles an unrefined diamond, requiring processing and refinement to uncover its true worth. The EY Cloud Data IQ platform is specifically crafted to fulfill this need; it is a subscription-based analytics tool tailored for wealth and asset management firms, enabling organizations to leverage data effectively to enhance their services for investors, regulators, and the market at large. Hosted in the cloud and maintained by EY, this platform employs sophisticated visualizations and Artificial Intelligence (AI) to deliver companies a comprehensive, real-time perspective on customer interactions, user-friendly client reporting, and in-depth management insights. Furthermore, it seamlessly integrates both structured and unstructured data, including social media inputs, along with audio and video streams, into a single, dependable, and transparent resource for users. This integration allows firms to draw deeper insights and make more informed decisions based on a broader spectrum of data sources.

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

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

We make data for the world's most valuable companies. Innodata solves your most difficult data engineering problems using artificial intelligence and human expertise. Innodata offers the services and solutions that you need to harness digital information at scale and drive digital disruption within your industry. We secure and efficiently collect and label sensitive data. This provides ground truth that is close to 100% for AI and ML models. Our API is simple to use and ingests unstructured data, such as contracts and medical records, and generates structured XML that conforms to schemas for downstream applications and analytics. We make sure that mission-critical databases are always accurate and up-to-date.

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

Enhance the potential of both structured and unstructured data within your organization by leveraging outstanding features for data integration, quality enhancement, and cleansing. The SAP Data Services software elevates data quality throughout the organization, ensuring that the information management layer of SAP’s Business Technology Platform provides reliable, relevant, and timely data that can lead to improved business results. By transforming your data into a dependable and always accessible resource for insights, you can optimize workflows and boost efficiency significantly. Achieve a holistic understanding of your information by accessing data from various sources and in any size, which helps in uncovering the true value hidden within your data. Enhance decision-making and operational effectiveness by standardizing and matching datasets to minimize duplicates, uncover relationships, and proactively address quality concerns. Additionally, consolidate vital data across on-premises systems, cloud environments, or Big Data platforms using user-friendly tools designed to simplify this process. This comprehensive approach not only streamlines data management but also empowers your organization to make informed strategic choices.

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

Etlworks is a cloud-first, all-to-any data integration platform. It scales with your business. It can connect to databases and business applications as well as structured, semi-structured and unstructured data of all types, shapes, and sizes. With an intuitive drag-and drop interface, scripting languages and SQL, you can quickly create, test and schedule complex data integration and automation scenarios. Etlworks supports real time change data capture (CDC), EDI transformations and many other data integration tasks. It works exactly as advertised.