Compare the Top Machine Learning Software in China as of November 2025 - Page 8

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    SANCARE

    SANCARE

    SANCARE

    SANCARE is a start-up specializing in Machine Learning applied to hospital data. We collaborate with some of the best scientists in the field. SANCARE provides Medical Information Departments with an ergonomic and intuitive interface, promoting rapid adoption. The user has access to all the documents that constitute the computerized patient record. A true production tool, each step of the coding process is traced for external checks. Machine learning makes it possible to develop powerful predictive models from large volumes of data, and to take into account the notion of context, which is not possible for rule engines or semantic analysis engines. It is therefore possible to automate complex decision-making processes or to detect weak signals ignored by humans. The SANCARE software machine learning engine is based on a probabilistic approach. It learns over a large amount of examples to predict the right codes, without any indication.
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    Wekinator

    Wekinator

    Wekinator

    The Wekinator is free, open source software. Wekinator 1.0 was originally created in 2009 by Rebecca Fiebrink. In 2015, Rebecca released Wekinator 2.0, an entirely new version with redesigned interactions, new algorithms, and ability to connect easily to dozens of other creative coding tools and sensors. Wekinator 2.0 continues to be gently updated with bug fixes and feature requests. It allows anyone to use machine learning to build new musical instruments, gestural game controllers, computer vision or computer listening systems, and more. The Wekinator allows users to build new interactive systems by demonstrating human actions and computer responses, instead of writing programming code. Create mappings between gesture and computer sounds. Control a drum machine using your webcam! Play Ableton using a Kinect! Control interactive visual environments created in Processing, OpenFrameworks, or Quartz Composer, or game engines like Unity, using gestures sensed from webcam, Kinect, etc.
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    Protégé

    Protégé

    Center for Biomedical Informatics Research

    Protégé is supported by a strong community of academic, government, and corporate users, who use Protégé to build knowledge-based solutions in areas as diverse as biomedicine, e-commerce, and organizational modeling. Protégé’s plug-in architecture can be adapted to build both simple and complex ontology-based applications. Developers can integrate the output of Protégé with rule systems or other problem solvers to construct a wide range of intelligent systems. Most important, the Stanford team and the vast Protégé community are here to help. Protégé is actively supported by a strong community of users and developers that field questions, write documentation, and contribute plug-ins. Protégé is based on Java, is extensible, and provides a plug-and-play environment that makes it a flexible base for rapid prototyping and application development.
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    Google Cloud Vision AI
    Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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    Weka

    Weka

    University of Waikato

    Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this. Weka is open source software issued under the GNU General Public License. We have put together several free online courses that teach machine learning and data mining using Weka. The videos for the courses are available on Youtube. An exciting and potentially far-reaching development in computer science is the invention and application of methods of machine learning (ML). These enable a computer program to automatically analyze a large body of data and decide what information is most relevant. This crystallized information can then be used to automatically make predictions or to help people make decisions faster.
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    DataRobot

    DataRobot

    DataRobot

    AI Cloud is a new approach built for the demands, challenges and opportunities of AI today. A single system of record, accelerating the delivery of AI to production for every organization. All users collaborate in a unified environment built for continuous optimization across the entire AI lifecycle. The AI Catalog enables seamlessly finding, sharing, tagging, and reusing data, helping to speed time to production and increase collaboration. The catalog provides easy access to the data needed to answer a business problem while ensuring security, compliance, and consistency. If your database is protected by a network policy that only allows connections from specific IP addresses, contact Support for a list of addresses that an administrator must add to your network policy (whitelist).
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    Grace Enterprise AI Platform
    The Grace Enterprise AI Platform, the AI platform with full support for Governance, Risk & Compliance (GRC) for AI. Grace offers an efficient, secure, and robust AI implementation across any organization, standardizing processes, and workflows across all your AI projects. Grace covers the full range of rich functionality your organization needs to become fully AI proficient and helps ensure regulatory excellence for AI, to avoid compliance requirements slowing or stopping AI implementation. Grace lowers the entry barriers for AI users across all functional and operational roles in your organization, including technical, IT, project management, and compliance, while still offering efficient workflows for experienced data scientists and engineers. Ensuring that all activities are traced, explained, and enforced. This includes all areas within the data science model development, data used for model training and development, model bias, and more.
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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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    DataStories

    DataStories

    DataStories International

    According to Forrester research, between 60% and 73% of all data within an enterprise goes unused for analytics. See how we can help you maximise the value of your data. DataStories made advanced machine learning explainable and easy to use for business people. DataStories Platform is an A.I. tool that simply explains you in an intuitive manner and under 30 minutes how to understand, predict and steer your business targets based on the business and context data. DataStories is on a mission to empower everyone take data-driven decisions. We offer a self-service analytics platform to business experts who are often left out from analytics because of complexity of other tools. You can now run analytics yourself and share the results in a form of explainable and interactive data stories, which can be exported into PowerPoint.
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    Ezoic

    Ezoic

    Ezoic

    Ezoic is a platform that allows digital publishers to streamline and automate the optimization of their ads, layouts, infrastructure, and more. Publishers use Ezoic to manage website performance and capitalize on opportunities to grow traffic and revenue. Ezoic empowers publishers using real artificial intelligence. This includes the ability to collect important data and automate decisions that improve visitor experiences, SEO, site speed, and website revenue. Ezoic re-invests in customers via grants and other investments. Over $12.4M committed to customers to fund further site growth. Avg. sites see 50-250% growth in revenue and 90% YoY growth in traffic. Ezoic Levels provides the best ad partners and guarantees highest earning display ads available. Built for every size and type of site. Ezoic guarantees the highest revenue and best UX.
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    Agara

    Agara

    Agara

    Agara is the world's leading Real-time Voice AI SaaS platform that processes customer support calls in real-time to eliminate hold time, reduce manual inputs and improve customer experience. Agara significantly improves customer satisfaction (CX) scores while reducing support costs by over 50%.
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    Moveworks

    Moveworks

    Moveworks

    The Moveworks AI platform combines advanced machine learning, conversational-AI and Natural Language Understanding (NLU) with deep integrations into enterprise systems to completely automate the resolution of IT support issues. Our system is pre-trained to understand enterprise language and common IT support issues. So it starts delivering right away and continues to get smarter over time. Moveworks makes getting help at work effortless. And our Intelligence Engine is the deep AI technology that powers our platform. The system transforms hard‑to‑use resources into bite‑sized solutions.
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    BryteFlow

    BryteFlow

    BryteFlow

    BryteFlow builds the most efficient automated environments for analytics ever. It converts Amazon S3 into an awesome analytics platform by leveraging the AWS ecosystem intelligently to deliver data at lightning speeds. It complements AWS Lake Formation and automates the Modern Data Architecture providing performance and productivity. You can completely automate data ingestion with BryteFlow Ingest’s simple point-and-click interface while BryteFlow XL Ingest is great for the initial full ingest for very large datasets. No coding is needed! With BryteFlow Blend you can merge data from varied sources like Oracle, SQL Server, Salesforce and SAP etc. and transform it to make it ready for Analytics and Machine Learning. BryteFlow TruData reconciles the data at the destination with the source continually or at a frequency you select. If data is missing or incomplete you get an alert so you can fix the issue easily.
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    Edge Intelligence

    Edge Intelligence

    Edge Intelligence

    Start benefiting your business within minutes of installation. Learn how our system works. It's the fastest, easiest way to analyze vast amounts of geographically distributed data. A new approach to analytics. Overcome the architectural constraints associated with traditional big data warehouses, database design and edge computing architectures. Understand details within the platform that allow for centralized command & control, automated software installation & orchestration and geographically distributed data input & storage.
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    Alitheon FeaturePrint
    Every physical object is unique. Our technology can distinguish any solid object from even visually identical items based on the object itself – there is no need for serialization, bar codes, RFID, etc. It can be used for object identification and authentication at low cost with statistically perfect results. This new branch of machine vision is called FeaturePrint™. As each person has unique fingerprints, every physical object has unique surface characteristics that distinguish it from all other items. Once an object is registered, its FeaturePrint is stored securely in the cloud. At any time, the object’s identity can be confirmed using something as pervasive as a smartphone. Our patented technology uses advanced machine vision, neural networks, and deep learning to identify each object from its unique properties without dependence on RFID, bar codes or other proxies. The identification of the object is inherent in the object itself.
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    Adobe Sensei
    Power incredible experiences with AI. Designing and delivering the perfect customer experience can be complicated. Adobe Sensei uses AI and machine learning to make it easier — helping you create effortlessly, make informed decisions, and target marketing for better results. Check out our new video to see what’s possible with Adobe Sensei. Sensei helps deliver on the promise of digital documents with smooth experiences. Continuously monitor campaign performance to optimize ad delivery. Engage audiences with custom offers, subject lines, and delivery timing. Predict customer behavior based on attributes, differences, and conversion factors.
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    Intelligent Artifacts

    Intelligent Artifacts

    Intelligent Artifacts

    A new category of AI. Most current AI solutions are engineered through a statistical and purely mathematical lens. We took a different approach. With discoveries in information theory, the team at Intelligent Artifacts has built a new category of AI: a true AGI that eliminates current machine intelligence shortcomings. Our framework keeps the data and application layers separate from the intelligence layer allowing it to learn in real-time, and enabling it to explain predictions down to root cause. A true AGI demands a truly integrated platform. With Intelligent Artifacts, you'll model information, not data — predictions and decisions are real-time and transparent, and can be deployed across various domains without the need to rewrite code. And by combining specialized AI consultants with our dynamic platform, you'll get a customized solution that rapidly offers deep insights and greater outcomes from your data.
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    Scale GenAI Platform
    Build, test, and optimize Generative AI applications that unlock the value of your data. Optimize LLM performance for your domain-specific use cases with our advanced retrieval augmented generation (RAG) pipelines, state-of-the-art test and evaluation platform, and our industry-leading ML expertise. We help deliver value from AI investments faster with better data by providing an end-to-end solution to manage the entire ML lifecycle. Combining cutting edge technology with operational excellence, we help teams develop the highest-quality datasets because better data leads to better AI.
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    Luminoso

    Luminoso

    Luminoso Technologies Inc.

    Luminoso turns unstructured text data into business-critical insights. Using common-sense artificial intelligence to understand language, we empower organizations to discover, interpret, and act on what people are telling them. Requiring little setup, maintenance, training, or data input, Luminoso combines world-leading natural language understanding technology with a vast knowledge base to learn words from context – like humans do – and accurately analyze text in minutes, not months. Our software provides native support in over a dozen languages, so leaders can explore relationships in data, make sense of feedback, and triage inquiries to drive value, fast. Luminoso is privately held and headquartered in Boston, MA.
    Starting Price: $1250/month
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    FeedStock Cortex
    Cortex uses the very latest machine learning technology to automatically track research interactions and identify research inducements across all your communication streams. We deliver the most effective, non-disruptive research payment validation services available, keeping you and your business compliant, effective and in the knowledge that you are using correct data to make smart decisions. Cortex works in real time to automatically capture, analyze and securely understand all the internal and external research interactions across the information streams in your business. The system completely takes away the burden of tracking these interactions internally as well as removing the need to rely and reconcile sell-side data, enabling your investment professionals to focus on what they do best.
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    LUIS

    LUIS

    Microsoft

    Language Understanding (LUIS): A machine learning-based service to build natural language into apps, bots, and IoT devices. Quickly create enterprise-ready, custom models that continuously improve. Add natural language to your apps. Designed to identify valuable information in conversations, LUIS interprets user goals (intents) and distills valuable information from sentences (entities), for a high quality, nuanced language model. LUIS integrates seamlessly with the Azure Bot Service, making it easy to create a sophisticated bot. Powerful developer tools are combined with customizable pre-built apps and entity dictionaries, such as Calendar, Music, and Devices, so you can build and deploy a solution more quickly. Dictionaries are mined from the collective knowledge of the web and supply billions of entries, helping your model to correctly identify valuable information from user conversations. Active learning is used to continuously improve the quality of the models.
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    Azure Notebooks
    Develop and run code from anywhere with Jupyter notebooks on Azure. Get started for free. Get a better experience with a free Azure Subscription. Perfect for data scientists, developers, students, or anyone. Develop and run code in your browser regardless of industry or skillset. Supporting more languages than any other platform including Python 2, Python 3, R, and F#. Created by Microsoft Azure: Always accessible, always available from any browser, anywhere in the world.
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    Kaggle

    Kaggle

    Kaggle

    Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access free GPUs and a huge repository of community published data & code. Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 19,000 public datasets and 200,000 public notebooks to conquer any analysis in no time.
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    Cloud Dataprep
    Cloud Dataprep by Trifacta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis, reporting, and machine learning. Because Cloud Dataprep is serverless and works at any scale, there is no infrastructure to deploy or manage. Your next ideal data transformation is suggested and predicted with each UI input, so you don’t have to write code. Cloud Dataprep is an integrated partner service operated by Trifacta and based on their industry-leading data preparation solution. Google works closely with Trifacta to provide a seamless user experience that removes the need for up-front software installation, separate licensing costs, or ongoing operational overhead. Cloud Dataprep is fully managed and scales on demand to meet your growing data preparation needs so you can stay focused on analysis.
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    Amazon Augmented AI (A2I)
    Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers. Many machine learning applications require humans to review low confidence predictions to ensure the results are correct. For example, extracting information from scanned mortgage application forms can require human review in some cases due to low-quality scans or poor handwriting. But building human review systems can be time consuming and expensive because it involves implementing complex processes or “workflows”, writing custom software to manage review tasks and results, and in many cases, managing large groups of reviewers.
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    Appen

    Appen

    Appen

    The Appen platform combines human intelligence from over one million people all over the world with cutting-edge models to create the highest-quality training data for your ML projects. Upload your data to our platform and we provide the annotations, judgments, and labels you need to create accurate ground truth for your models. High-quality data annotation is key for training any AI/ML model successfully. After all, this is how your model learns what judgments it should be making. Our platform combines human intelligence at scale with cutting-edge models to annotate all sorts of raw data, from text, to video, to images, to audio, to create the accurate ground truth needed for your models. Create and launch data annotation jobs easily through our plug and play graphical user interface, or programmatically through our API.
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    Dataloop AI

    Dataloop AI

    Dataloop AI

    Manage unstructured data and pipelines to develop AI solutions at amazing speed. Enterprise-grade data platform for vision AI. Dataloop is a one-stop shop for building and deploying powerful computer vision pipelines data labeling, automating data ops, customizing production pipelines and weaving the human-in-the-loop for data validation. Our vision is to make machine learning-based systems accessible, affordable and scalable for all. Explore and analyze vast quantities of unstructured data from diverse sources. Rely on automated preprocessing and embeddings to identify similarities and find the data you need. Curate, version, clean, and route your data to wherever it’s needed to create exceptional AI applications.
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    Sixgill Sense
    Every step of the machine learning and computer vision workflow is made simple and fast within one no-code platform. Sense allows anyone to build and deploy AI IoT solutions to any cloud, the edge or on-premise. Learn how Sense provides simplicity, consistency and transparency to AI/ML teams with enough power and depth for ML engineers yet easy enough to use for subject matter experts. Sense Data Annotation optimizes the success of your machine learning models with the fastest, easiest way to label video and image data for high-quality training dataset creation. The Sense platform offers one-touch labeling integration for continuous machine learning at the edge for simplified management of all your AI solutions.
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    Kraken

    Kraken

    Big Squid

    Kraken is for everyone from analysts to data scientists. Built to be the easiest-to-use, no-code automated machine learning platform. The Kraken no-code automated machine learning (AutoML) platform simplifies and automates data science tasks like data prep, data cleaning, algorithm selection, model training, and model deployment. Kraken was built with analysts and engineers in mind. If you've done data analysis before, you're ready! Kraken's no-code, easy-to-use interface and integrated SONAR© training make it easy to become a citizen data scientist. Advanced features allow data scientists to work faster and more efficiently. Whether you use Excel or flat files for day-to-day reporting or just ad-hoc analysis and exports, drag-and-drop CSV upload and the Amazon S3 connector in Kraken make it easy to start building models with a few clicks. Data Connectors in Kraken allow you to connect to your favorite data warehouse, business intelligence tools, and cloud storage.
    Starting Price: $100 per month
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    SensiML Analytics Studio
    Sensiml analytics toolkit. Create smart iot sensor devices rapidly reduce data science complexity. Create compact algorithms that execute on tiny IoT endpoints, not in the cloud. Collect accurate, traceable, version controlled datasets. Utilize advanced AutoML code-gen to quickly produce autonomous working device code. Choose your interface, level of AI expertise, and retain full access to every aspect of your algorithm. Build edge tuning models that that customize behavior as they see more data. SensiML Analytics Toolkit suite automates each step of the process for creating optimized AI IoT sensor recognition code. The overall workflow uses a growing library of advanced ML and AI algorithms to generate code that can learn from new data either the development phase or once deployed. Non-invasive, rapid disease screening applications utilizing intelligent classification of one or more bio-sensing inputs are critical tools for healthcare decision support.