Alternatives to Rinalogy Classification API

Compare Rinalogy Classification API alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Rinalogy Classification API in 2026. Compare features, ratings, user reviews, pricing, and more from Rinalogy Classification API competitors and alternatives in order to make an informed decision for your business.

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    Labelbox

    Labelbox

    Labelbox

    The training data platform for AI teams. A machine learning model is only as good as its training data. Labelbox is an end-to-end platform to create and manage high-quality training data all in one place, while supporting your production pipeline with powerful APIs. Powerful image labeling tool for image classification, object detection and segmentation. When every pixel matters, you need accurate and intuitive image segmentation tools. Customize the tools to support your specific use case, including instances, custom attributes and much more. Performant video labeling editor for cutting-edge computer vision. Label directly on the video up to 30 FPS with frame level. Additionally, Labelbox provides per frame label feature analytics enabling you to create better models faster. Creating training data for natural language intelligence has never been easier. Label text strings, conversations, paragraphs, and documents with fast & customizable classification.
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    DeepNLP

    DeepNLP

    SparkCognition

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

    Doculayer

    Doculayer

    Forget about manual content classification and data entry. Doculayer.ai offers a configurable pipeline with document processing services like OCR, document type classification, topic classification, data extraction and data masking. Doculayer.ai puts business users in the driver's seat by making training/learning easy via an intuitive user interface for labeling of documents and data. With our hybrid data extraction approach machine learning models can be combined with rules, patterns and library scripts to obtain better results with less training data in less time. For the protection of sensitive data within documents, data masking can be anonymized or pseudonymized. Doculayer.ai adds document intelligence to your Content Services Platform, Business Process Management systems, and RPA solutions. Supercharge your existing IT environment for document processing with machine learning, natural language processing, and computer vision technologies.
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    Lettria

    Lettria

    Lettria

    Lettria offers a powerful AI platform known as GraphRAG, designed to enhance the accuracy and reliability of generative AI applications. By combining the strengths of knowledge graphs and vector-based AI models, Lettria ensures that businesses can extract verifiable answers from complex and unstructured data. The platform helps automate tasks like document parsing, data model enrichment, and text classification, making it ideal for industries such as healthcare, finance, and legal. Lettria’s AI solutions prevent hallucinations in AI outputs, ensuring transparency and trust in AI-generated results.
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    ML.NET

    ML.NET

    Microsoft

    ML.NET is a free, open source, and cross-platform machine learning framework designed for .NET developers to build custom machine learning models using C# or F# without leaving the .NET ecosystem. It supports various machine learning tasks, including classification, regression, clustering, anomaly detection, and recommendation systems. ML.NET integrates with other popular ML frameworks like TensorFlow and ONNX, enabling additional scenarios such as image classification and object detection. It offers tools like Model Builder and the ML.NET CLI, which utilize Automated Machine Learning (AutoML) to simplify the process of building, training, and deploying high-quality models. These tools automatically explore different algorithms and settings to find the best-performing model for a given scenario.
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    SentioAI

    SentioAI

    RINA Systems

    SentioAI is a technology solution that uses natural language processing, machine learning and predictive analytics to identify the most relevant documents out of a given population of documents with an unprecedented speed and accuracy. SentioAI solves a classification problem for Big Data in a unique proprietary way. As a result the technology works when other technologies fail, it delivers more accurate/complete results faster and saves time and money vs. other technologies. SentioAI delivers a ranked population of documents from most likely to least likely to be relevant. Using the software users review and tag a small portion of the data set. This data set is then used to train SentioAI prediction engine to order documents according to their relevancy. With each new document the system becomes more accurate. SentioAI determines when the training of the predictive engine is complete and then runs its models on the total data set to generate results.
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    spaCy

    spaCy

    spaCy

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

    IntelliHub

    Spotflock

    We work closely with businesses to find out what are the common issues preventing companies from realising benefits. We design to open up opportunities that were previously not viable using conventional approaches Corporations -big and small, require an AI platform with complete empowerment and ownership. Tackle data privacy and adopt to AI platforms at a sustainable cost. Enhance the efficiency of businesses and augment the work humans do. We apply AI to gain control over repetitive or dangerous tasks and bypass human intervention, thereby expediting tasks with creativity and empathy. Machine Learning helps to give predictive capabilities to applications with ease. You can build classification and regression models. It can also do clustering and visualize different clusters. It supports multiple ML libraries like Weka, Scikit-Learn, H2O and Tensorflow. It includes around 22 different algorithms for building classification, regression and clustering models.
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    Alegion

    Alegion

    Alegion

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

    Nyckel

    Nyckel

    Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complex “we-do-it-all” AI/ML tools is hard. Especially if you’re not a machine learning expert. That’s why Nyckel built a platform that makes image and text classification easy for everyone. In just a few minutes, you can train an AI model to identify attributes of any image or text. Whether you’re sorting through images, moderating text, or needing real-time content labeling, Nyckel lets you build a custom classifier in just 5 minutes. And with our Classification API, you can auto-label at scale. Nyckel’s goal is to make AI-powered classification a practical tool for anyone. Learn more at Nyckel.com.
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    Protegrity

    Protegrity

    Protegrity

    Our platform allows businesses to use data—including its application in advanced analytics, machine learning, and AI—to do great things without worrying about putting customers, employees, or intellectual property at risk. The Protegrity Data Protection Platform doesn't just secure data—it simultaneously classifies and discovers data while protecting it. You can't protect what you don't know you have. Our platform first classifies data, allowing users to categorize the type of data that can mostly be in the public domain. With those classifications established, the platform then leverages machine learning algorithms to discover that type of data. Classification and discovery finds the data that needs to be protected. Whether encrypting, tokenizing, or applying privacy methods, the platform secures the data behind the many operational systems that drive the day-to-day functions of business, as well as the analytical systems behind decision-making.
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    TextRazor

    TextRazor

    TextRazor

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

    MLlib

    Apache Software Foundation

    ​Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem. ​
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    Proofpoint Intelligent Classification and Protection
    Augment your cross-channel DLP with AI-powered classification. Proofpoint Intelligent Classification and Protection is an AI-powered approach to classifying your business-critical data. It recommends actions based on risk accelerating your enterprise DLP program. Our Intelligent Classification and Protection solution helps you understand your unstructured data in a fraction of the time required by legacy approaches. It categorizes a sample of your files using a pre-trained AI-model. And it does this across file repositories both in the cloud and on-premises. With our two-dimensional classification, you get the business context and confidentiality level you need to better protect your data in today’s hybrid world.
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    Forcepoint Data Classification
    Forcepoint Data Classification leverages Machine Learning (ML) and Artificial Intelligence (AI) to increase the accuracy of data classification for unstructured data to improve your team’s efficiency, reduce false alerts and better prevent data loss. Insight generated using AI drives an innovative approach to classification so you can accurately and efficiently determine how data should be classified, at scale. Coverage of the broadest range of data types in the industry powers efficiency and streamlines compliance while delivering better protection for organizations’ data. Increase the speed and efficiency of data classification to reduce false positives and spend more time on legitimate data security incidents. Forcepoint enables organizations to discover, classify, monitor, and protect data with a complementary suite of data security products. Gain a panoramic view of unstructured data across your organization.
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    Komprehend

    Komprehend

    Komprehend

    Komprehend AI APIs are the most comprehensive set of document classification and NLP APIs for software developers. Our NLP models are trained on more than a billion documents and provide state-of-the-art accuracy on most common NLP use cases such as sentiment analysis and emotion detection. Try our free demo now and see the effectiveness of our Text Analysis API. Maintains high accuracy in the real world, and brings out useful insights from open-ended textual data. Works on a variety of data, ranging from finance to healthcare. Supports private cloud deployments via Docker containers or on-premise deployment ensuring no data leakage. Protects your data and follows the GDPR compliance guidelines to the last word. Understand the social sentiment of your brand, product, or service while monitoring online conversations. Sentiment analysis is contextual mining of text which identifies and extracts subjective information in the source material.
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    IBM Datacap
    Streamline the capture, recognition and classification of business documents. IBM® Datacap software is a key capability of the IBM Cloud Pak® for Business Automation. It streamlines the capture, recognition and classification of business documents. Its natural language processing, text analytics and machine learning technologies identify, classify and extract content from unstructured or variable paper documents. Supports multichannel input from scanners, faxes, emails, digital files such as PDF, and images from applications and mobile devices. Uses machine learning to automate the processing of complex or unknown formats and highly variable documents difficult to capture with traditional systems. Enables you to export documents and information to a range of applications and content repositories from IBM and other vendors. Offers configuration of capture workflows and applications using a simple point-and-click interface to speed deployment.
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    Flex Databases

    Flex Databases

    Flex Databases

    Document management and ensures regulatory compliance in clinical trials. By integrating AI and a unique "co-pilot" feature, our platform boosts efficiency while maintaining human oversight. Automated Filing with AI The AI assistant automates document classification and metadata assignment, reducing manual effort. Co-Pilot for Human Control The "co-pilot" feature allows users to set confidence levels for AI classification. Documents below the threshold are flagged for review, and users can adjust classifications, helping the AI improve. Key Benefits: Efficiency: AI automates tasks, allowing more focus on critical activities. Accuracy: AI and co-pilot oversight ensure data integrity and compliance. User-Friendly: An intuitive interface simplifies document management. Continuous Learning: AI improves accuracy with ongoing user feedback.
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    Azure CLU

    Azure CLU

    Microsoft

    Build applications with conversational language understanding, an AI language feature that understands natural language to interpret user goals and extract key information from conversational phrases. Create multilingual, customizable intent classification and entity extraction models for your domain-specific keywords or phrases across 96 languages. Train in one natural language and use them in multiple languages without retraining. Quickly create intents and entities and label your own utterances. Add prebuilt components from a wide variety of commonly available types. Evaluate with built-in quantitative measurements like precision and recall. Use the simple dashboard to manage model deployments in the intuitive and user-friendly language studio. Use seamlessly with other features within Azure AI Language, as well as Azure Bot Service for an end-to-end conversational solution. Conversational language understanding is the next generation of Language Understanding (LUIS).
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    NLTK

    NLTK

    NLTK

    The Natural Language Toolkit (NLTK) is a comprehensive, open source Python library designed for human language data processing. It offers user-friendly interfaces to over 50 corpora and lexical resources, such as WordNet, along with a suite of text processing libraries for tasks including classification, tokenization, stemming, tagging, parsing, and semantic reasoning. NLTK also provides wrappers for industrial-strength NLP libraries and maintains an active discussion forum. Accompanied by a hands-on guide that introduces programming fundamentals alongside computational linguistics topics, and comprehensive API documentation, NLTK is suitable for linguists, engineers, students, educators, researchers, and industry professionals. It is compatible with Windows, Mac OS X, and Linux platforms. Notably, NLTK is a free, community-driven project.
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    alvaDesc

    alvaDesc

    Alvascience

    alvaDesc is a cheminformatics software for the calculation and analysis of molecular descriptors, fingerprints, and structural patterns for QSAR, QSPR, read-across, and machine learning applications. It computes more than 5,000 molecular descriptors (0D–3D), including constitutional, topological, geometrical, electronic, physicochemical, and fragment-based descriptors. The software also generates molecular fingerprints and structural pattern counts for similarity analysis, clustering, and classification. Integrated tools support descriptor filtering and correlation analysis for robust and reproducible modeling. alvaDesc integrates seamlessly with KNIME and Python, enabling efficient connection to external data analysis and machine learning workflows. It is widely used in academic and industrial research and supported by extensive documentation and scientific publications.
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    Apache Mahout

    Apache Mahout

    Apache Software Foundation

    Apache Mahout is a powerful, scalable, and versatile machine learning library designed for distributed data processing. It offers a comprehensive set of algorithms for various tasks, including classification, clustering, recommendation, and pattern mining. Built on top of the Apache Hadoop ecosystem, Mahout leverages MapReduce and Spark to enable data processing on large-scale datasets. Apache Mahout(TM) is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. Apache Spark is the recommended out-of-the-box distributed back-end or can be extended to other distributed backends. Matrix computations are a fundamental part of many scientific and engineering applications, including machine learning, computer vision, and data analysis. Apache Mahout is designed to handle large-scale data processing by leveraging the power of Hadoop and Spark.
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    TextBlob

    TextBlob

    TextBlob

    TextBlob is a Python library for processing textual data, offering a simple API to perform common natural language processing tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, and classification. It stands on the giant shoulders of NLTK and Pattern, and plays nicely with both. Key features include tokenization (splitting text into words and sentences), word and phrase frequencies, parsing, n-grams, word inflection (pluralization and singularization) lemmatization, spelling correction, and WordNet integration. TextBlob is compatible with Python versions 2.7 and above, and 3.5 and above. It is actively developed on GitHub and is licensed under the MIT License. Comprehensive documentation, including a quick start guide and tutorials, is available to assist users in implementing various NLP tasks.
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    PI.EXCHANGE

    PI.EXCHANGE

    PI.EXCHANGE

    Easily connect your data to the engine, either through uploading a file or connecting to a database. Then, start analyzing your data through visualizations, or prepare your data for machine learning modeling with the data wrangling actions with repeatable recipes. Get the most out of your data by building machine learning models, using regression, classification or clustering algorithms - all without any code. Uncover insights into your data, using the feature importance, prediction explanation, and what-if tools. Make predictions and integrate them seamlessly into your existing systems through our connectors, ready to go so you can start taking action.
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    Alibaba Cloud Machine Learning Platform for AI
    An end-to-end platform that provides various machine learning algorithms to meet your data mining and analysis requirements. Machine Learning Platform for AI provides end-to-end machine learning services, including data processing, feature engineering, model training, model prediction, and model evaluation. Machine learning platform for AI combines all of these services to make AI more accessible than ever. Machine Learning Platform for AI provides a visualized web interface allowing you to create experiments by dragging and dropping different components to the canvas. Machine learning modeling is a simple, step-by-step procedure, improving efficiencies and reducing costs when creating an experiment. Machine Learning Platform for AI provides more than one hundred algorithm components, covering such scenarios as regression, classification, clustering, text analysis, finance, and time series.
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    Tungsten Transformation

    Tungsten Transformation

    Tungsten Automation

    Classify large volumes of documents and accurately extract information. Tungsten Transformation accelerates business processes by replacing manual document classification, separation and extraction with touchless processing, speeding you along on your digital workflow transformation journey. Automate the understanding of any document type and the data on those documents for later processing or storage. Realize efficiencies in document capture processes and avoid costly integrations utilizing the Tungsten Capture and Tungsten Transformation system. Increase productivity and accelerate business processes by removing the need for manual document classification, separation and extraction. Process more transactions easily and efficiently and improve the flow of information throughout your organization.
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    BIM Classify
    Built on our digital twin platform Twinit.io, BIM Classify can provide the foundation of your digital twin. BIM Classify is our collaborative, cloud-based software with authoring tool plug-ins that help modelers accurately and consistently classify their model content. Build and manage the classification systems you need. Create equivalencies across classification systems as needed. Provide recommendations through plug-ins for BIM authoring tools. Help your entire team consistently classify elements, so you know what’s in your models. Get more value from BIM for workflows like estimating, planning, or producing digital twins. Administrators set up classification systems, mapping rules, and equivalences in the BIM Classify web app. Modelers use the BIM Classify Revit plugin to consistently and accurately classify their model content. BIM data users get accurate data for estimates, quantity takeoffs, asset management, and more.
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    UHRS (Universal Human Relevance System)
    When you need transcription, data validation, classification, sentiment analysis, or other related tasks, UHRS can give you what you need. We provide human intelligence to train machine learning models to help you solve some of your most challenging problems. We make it easy for judges to access UHRS anywhere, at any time. All that’s needed is an internet connection, and judges are good to go. Work on tasks like video annotation in just a few minutes. With UHRS, you can classify thousands of images quickly and easily. Train your products and tools with improved image detection, boundary recognition, and more with high quality annotated image data. Classify images, semantic segmentation, object detection. Validating audio to text, conversation, and relevance. Identify sentiment of a tweet, and document classification. Ad hoc data collection tasks, information correction/moderation, and survey.
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    Titus Classification Suite
    Achieving compliance across a wealth of new international data privacy laws and regulations is the benchmark for effective cybersecurity, and data classification is the first step to building a strong data protection posture. The family of Titus Classification products provides the essential tools to clearly inform both your people and your policies on what data should be secured and how to handle it. Manage and protect your data with the industry’s most flexible and customizable classification metadata schema. Give your data context so people and systems understand how to handle the information. A classification and policy enforcement tool that ensures all Microsoft Office documents are classified before they can be saved, printed, or sent via email. Ensure that every email is classified and protectively marked before it is sent. Allow end users to classify and protect any file type with just a few mouse clicks in Microsoft Windows Explorer helping protect your organization.
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    Connexun

    Connexun

    connexun

    B.I.R.B.AL., our proprietary artificial intelligence engine, has been trained by using a database with over a million articles in different languages, applying state of the art models of Natural Language Processing (NLP). B.I.R.B.AL.’s technology includes machine learning classification, interlanguage clustering, news topics ranking, extraction-based summarization and other features to help filter news for different types of users and for different types of applications. B.I.R.B.AL. uses supervised and unsupervised machine learning algorithms powered by Deep Learning. Go beyond online content monitoring using our artificial intelligence and predict the most relevant topics on the web. Gain strategic insights by collecting and studying extended amounts of data and information. Broaden your financial analysis with rich web data sets. Understand performance trends with a new instrument and apply structured web data to your predictive analytics and risk modeling.
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    SISA Radar

    SISA Radar

    SISA Information Security

    Helping organizations improve data protection with data discovery, file analysis and classification. Secure your entire data ecosystem with SISA Radar data discovery and data classification. Organize and classify sensitive data based on the criticality and business needs. Gain contextual information to improve sensitive data management. Gain visibility into structured, semi-structured and unstructured sensitive data. Protect data from unauthorized access. Meet compliance standards of PCI DSS, GDPR, CCPA, POPIA, PDPA, APRA and other privacy regulations Create and customize your own data classification scheme. Embrace a scalable and future-proof approach to next-gen data security. A single platform to discover, identify and contextualize sensitive data. A proprietary data discovery algorithm for faster detection and lower false positives.
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    UBIAI

    UBIAI

    UBIAI

    Leverage UBIAI's powerful labeling platform to train and deploy your custom NLP model faster than ever! When dealing with semi-structured text such as invoices or contracts, preserving document layout is key to training a high-performance model. Combining natural language processing and computer vision, UBIAI’s OCR feature allows you to perform NER, relation extraction, and classification annotation directly on native PDF documents, scanned images or pictures from your phone without losing any layout information, resulting in a significant boost of your NLP model performance. With UBIAI text annotation tool you can perform named entity recognition (NER), relation extraction and document classification all in the same interface. Unlike other tools, UBIAI enables you to create nested and overlapping entities containing multiple relations.
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    TimeReport$

    TimeReport$

    AdvanTec Information Systems

    Centralized Time Reporting and/or individual user input. (daily or weekly views). Remote time reporting is supported with Terminal Services (RDP). Easy to use – settings remain until told to clear to allow repeating classification entries. Allows collection and classificatioN of time for day, week, month. Allows recording/ reporting expenses. Comment per time record. Classification by Job/ Task integrates with Job Cost Module. Classification by Department Code. Classification by Class Level administrator defined levels that allow directed association of accounting classifications to time record. User can recall and review all prior period entries. Management Console displays reporting status all users. Billable and Non-Billable. Expense Reporting / Reimbursement.
    Starting Price: $2500.00/one-time
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    Klassify

    Klassify

    Klassify

    Klassify enforces users to clearly identify the sensitivity of information by applying classification labels and protective markings to documents and emails. As users work with the information, visual classification labels encourage them for proper handling as per their organization's information security guidelines. Klassify is a dynamic data classification platform that enables organizations to discover, classify and protect their business-critical data and ensure consistent and proper handling of the data by involving end users. Klassify helps organizations to discover and identify sensitive information in their legacy data across endpoint systems, servers, storage, databases, and cloud platforms for proper data handling in the future. Klassify simplifies the task of complying with regulatory compliances like PCI, GDPR, HIPAA, DPA, etc. View detailed metadata and contextual information to enable improved information governance and organizational efficiency for unstructured data.
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    Azure Information Protection
    Control and help secure email, documents, and sensitive data that you share outside your company. From easy classification to embedded labels and permissions, enhance data protection at all times with Azure Information Protection—no matter where it’s stored or who it’s shared with. Configure policies to classify, label, and protect data based on its sensitivity. Classification with Azure Information Protection is fully automatic, driven by users, or based on recommendation. Add classification and protection information for persistent protection that follows your data—ensuring it remains protected regardless of where it’s stored or who it’s shared with. Track activities on shared data and revoke access if necessary. Your IT team can use powerful logging and reporting to monitor, analyze, and reason over data. Share data safely with coworkers as well as your customers and partners. Define who can access data and what they can do with it.
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    Nightfall

    Nightfall

    Nightfall

    Discover, classify, and protect your sensitive data. Nightfall™ uses machine learning to identify business-critical data, like customer PII, across your SaaS, APIs, and data infrastructure, so you can manage & protect it. Integrate in minutes with cloud services via APIs to monitor data without agents. Machine learning classifies your sensitive data & PII with high accuracy, so nothing gets missed. Setup automated workflows for quarantines, deletions, alerts, and more - saving you time and keeping your business safe. Nightfall integrates directly with all your SaaS, APIs, and data infrastructure. Start building with Nightfall’s APIs for sensitive data classification & protection for free. Via REST API, programmatically get structured results from Nightfall’s deep learning-based detectors for things like credit card numbers, API keys, and more. Integrate with just a few lines of code. Seamlessly add data classification to your applications & workflows using Nightfall's REST API.
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    ClassifyIt

    ClassifyIt

    Ralf Ulrich Garbe

    ClassifyIt is an add-on module for Microsoft Office 2010 and higher. It provides functionality to add classification tags to the top of emails and to the header/footer of documents. It also provides the ability to encrypt email attachments. ClassifyIt is fully customizable to help users to provide classifications to all Outlook emails, Word documents, Excel sheets and PowerPoint slides. It is a tool to ensure policy compliancy and is a core mechanism to achieve information security. ClassifyIt is build to be user friendly and fully intuitive ... and the price is very competitive. Classification Example: UNCLASSIFIED, RESTRICTED, CONFIDENTIAL, SECRET
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    FirstLanguage

    FirstLanguage

    FirstLanguage

    Our Natural Language Processing(NLP) APIs provide best-in-class accuracy at an affordable rate and cover all aspects of NLP under a single roof. Save weeks of time training and creating language models. Take advantage of our best-in-class APIs to kickstart your app development. We provide the building blocks to create your own apps effectively like chatbots, sentiment analysis, etc. Text classification on multiple domains and 100+ languages. Perform effective sentiment analysis. We grow when your business does. So we have put together simple pricing that allows you to easily scale your business when it needs to evolve. Perfect for individual developers who are creating apps or building proof of concepts. Head to the Dashboard and get your API Key. Place this in the header of all your API calls. Use our SDK in your preferred language to start coding. Or you can refer to the auto-generated code blocks provided in 18 programming languages.
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    ExESS

    ExESS

    Lisam Systems

    ExESS® provides users a comprehensive and globally compliant solution for the authoring and distribution of safety data sheets. Built on flexible and scalable Microsoft .NET technology, ExESS is user friendly and can be installed on single workstations, over worldwide corporate networks or accessed and used via the cloud. In addition, country specific classifications such as the Austrian, VbF, the German; BetrSichV, Störfallverordnung and WGK, VOCs for EU, US and Swiss VOCV as well as Danish MAL and the US; NFPA and HMIS ratings are also provided in ExESS. Further, Lisam provides occupational exposure limit values and caters for biological limit values, SEVESO etc. The ExESS classification view allows users to review the actual calculation and data (including source) used to come to a final classification result.
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    BigML

    BigML

    BigML

    Machine Learning made beautifully simple for everyone. Take your business to the next level with the leading Machine Learning platform. Start making data-driven decisions today! No more wildly expensive or cumbersome solutions. Machine Learning that simply works. BigML provides a selection of robustly-engineered Machine Learning algorithms proven to solve real world problems by applying a single, standardized framework across your company. Avoid dependencies on many disparate libraries that increase complexity, maintenance costs, and technical debt in your projects. BigML facilitates unlimited predictive applications across industries including aerospace, automotive, energy, entertainment, financial services, food, healthcare, IoT, pharmaceutical, transportation, telecommunications, and more. Supervised Learning: classification and regression (trees, ensembles, linear regressions, logistic regressions, deepnets), and time series forecasting.
    Starting Price: $30 per user per month
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    Rational Governance

    Rational Governance

    Rational Enterprise

    Rational Governance is an enterprise software platform powering industry-based solutions involving the identification, understanding, classification, and management of data. Its core technologies are: Lightweight software deployed against an organization’s critical unstructured data sources (e.g., PCs, mail systems, file shares, document management systems, etc.) that feeds a unified index of content residing in those stores. A central server, allowing centralized search and in-place administration and control of all indexed content; and Advanced analytical tools, including advanced machine-learning algorithms that enable automated content classification and big data analytics. Management of data is effectuated via our analytical tools on a policy- or project-basis. Management includes the ability to preserve, destroy, copy, move, or be alerted to the existence of any piece of content across the enterprise from a central location.
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    Cloudflare Vectorize
    Begin building for free in minutes. Vectorize enables fast & cost-effective vector storage to power your search & AI Retrieval Augmented Generation (RAG) applications. Avoid tool sprawl & reduce total cost of ownership, Vectorize seamlessly integrates with Cloudflare’s AI developer platform and AI gateway for centralized development, monitoring & control of AI applications on a global scale. Vectorize is a globally distributed vector database that enables you to build full-stack, AI-powered applications with Cloudflare Workers AI. Vectorize makes querying embeddings, representations of values or objects like text, images, and audio that are designed to be consumed by machine learning models and semantic search algorithms, faster, easier, and more affordable. Search, similarity, recommendation, classification & anomaly detection based on your own data. Improved results & faster search. String, number & boolean types are supported.
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    PureMind

    PureMind

    PureMind

    Computer vision and artificial intelligence (AI) helps train equipment to control the quality of products in manufacture, train robots for movement autonomous and safety, train cameras to control and analyze traffic on retail, recognize types and colors of cars, food in the fridge, or make a map or 3D model of space from video. Algorithms help to predict sales in your business, find the relationship between metrics, publications and grow, classify customers for prepare personal offers, interpret and visualize the data, extract most important from text and video. Data Mining, regression, classification, correlation and cluster analysis, decision trees, prediction models, graphs, neural networks. Text classification, understanding, summarization and auto-tagging, named-entity recognition, compare for text similarity, sentiment analysis, dialog and QA systems. Detection, segmentation, recognition, recovery and image/video generation.
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    Paradise

    Paradise

    Geophysical Insights

    Paradise uses robust, unsupervised machine learning and supervised deep learning technologies to accelerate interpretation and generate greater insights from the data. Generate attributes to extract meaningful geological information and as input into machine learning analysis. Identify attributes having the highest variance and contribution among a set of attributes in a geologic setting, Display the neural classes (topology) and their associated colors resulting from Stratigraphic Analysis that indicate the distribution of facies. Detect faults automatically with deep learning and machine learning processes. Compare machine learning classification results and other seismic attributes to traditional good logs. Generate geometric and spectral decomposition attributes on a cluster of compute nodes in a fraction of the time on a single machine.
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    Unitary

    Unitary

    Unitary

    Reduce manual moderation overhead with human-like AI classification. Highly accurate AI that understands tone, context, and setting. By considering signals together, just like a human would, Unitary enables you to make more accurate classifications. This means better user experience, less time reviewing inaccurate judgments, and more time for your moderators to focus on what matters. Models custom-fit to your detailed trust and safety guidelines. Off-the-shelf models that take into account tone, context, and setting to deliver significant increases in accuracy. Power real-time customer journeys and workflows. Process tens of millions of pieces of content per day. Reduce manual moderation costs and protect users. Unitary was founded to help brands and platforms understand every piece of content in detail. We do this by building context-aware AI and multimodal machine learning methods to interpret content in context.
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    IBM Watson Machine Learning Accelerator
    Accelerate your deep learning workload. Speed your time to value with AI model training and inference. With advancements in compute, algorithm and data access, enterprises are adopting deep learning more widely to extract and scale insight through speech recognition, natural language processing and image classification. Deep learning can interpret text, images, audio and video at scale, generating patterns for recommendation engines, sentiment analysis, financial risk modeling and anomaly detection. High computational power has been required to process neural networks due to the number of layers and the volumes of data to train the networks. Furthermore, businesses are struggling to show results from deep learning experiments implemented in silos.
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    Pointly

    Pointly

    Pointly

    Pointly is a cloud-based, AI-powered 3D point cloud classification and management platform that turns large, raw point cloud datasets into structured, actionable information by enabling both automatic and manual classification, segmentation, and vectorization of 3D data using intuitive tools and pre-trained or custom AI models. It provides a centralized system to store, organize, and annotate point clouds directly in a web browser, supports scalable parallel processing for large datasets, and offers manual annotation tools alongside automated classifiers to accelerate data preparation and enhance precision. It also allows integration via API, export of classified point clouds in standard formats like LAS/LAZ, team collaboration on projects, and optional custom AI model training for specific use cases. Additional benefits include secure cloud processing with encrypted storage, scalable performance to avoid bottlenecks, and flexible deployment options.
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    SolVision

    SolVision

    Solomon

    SolVision is an advanced AI vision system developed by Solomon 3D, designed to enhance industrial automation through rapid and accurate visual inspections. Leveraging Solomon’s proprietary rapid AI model training technology, SolVision enables users to train AI models in minutes, significantly reducing setup time compared to traditional systems. It excels in various applications, including defect detection, item classification, optical character recognition, and presence/absence checks, making it suitable for industries such as manufacturing, food & beverage, textiles, and electronics. A standout feature is its ability to learn from as few as 1–5 image samples, streamlining the training process and minimizing the need for extensive data annotation. SolVision's intuitive user interface allows for simultaneous labeling of multiple defect types, facilitating complex classification tasks.
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    Amazon EC2 P4 Instances
    Amazon EC2 P4d instances deliver high performance for machine learning training and high-performance computing applications in the cloud. Powered by NVIDIA A100 Tensor Core GPUs, they offer industry-leading throughput and low-latency networking, supporting 400 Gbps instance networking. P4d instances provide up to 60% lower cost to train ML models, with an average of 2.5x better performance for deep learning models compared to previous-generation P3 and P3dn instances. Deployed in hyperscale clusters called Amazon EC2 UltraClusters, P4d instances combine high-performance computing, networking, and storage, enabling users to scale from a few to thousands of NVIDIA A100 GPUs based on project needs. Researchers, data scientists, and developers can utilize P4d instances to train ML models for use cases such as natural language processing, object detection and classification, and recommendation engines, as well as to run HPC applications like pharmaceutical discovery and more.
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    Eloquent Records
    Eloquent is a premier provider of mobile-friendly electronic document and records management system (EDRMS) solutions. Providing top quality support for knowledge management professionals, the company offers two powerful applications: Information governance made easy. File with accuracy. Search with precision. Eloquent Records is a feature-rich, web-based electronic documents and records management system (EDRMS) that enables lifecycle management for all records, both physical and digital. This mobile-friendly, browser-agnostic EDRMS has all the powerful features you expect, and more—with automatic linking to your integrated classification scheme and retention schedule, ensuring that governance rules apply. With Eloquent Records, implement an electronic documents and records management system with all the features you require from time-tested systems for physical records, applied to digital records. Ensure governance with a shared classification and retention system.