Alternatives to Alibaba Cloud Machine Learning Platform for AI

Compare Alibaba Cloud Machine Learning Platform for AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Alibaba Cloud Machine Learning Platform for AI in 2024. Compare features, ratings, user reviews, pricing, and more from Alibaba Cloud Machine Learning Platform for AI competitors and alternatives in order to make an informed decision for your business.

  • 1
    Vertex AI
    Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection.
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  • 2
    Google Cloud Natural Language API
    Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
  • 3
    Union Cloud

    Union Cloud

    Union.ai

    Union.ai is an award-winning, Flyte-based data and ML orchestrator for scalable, reproducible ML pipelines. With Union.ai, you can write your code locally and easily deploy pipelines to remote Kubernetes clusters. “Flyte’s scalability, data lineage, and caching capabilities enable us to train hundreds of models on petabytes of geospatial data, giving us an edge in our business.” — Arno, CTO at Blackshark.ai “With Flyte, we want to give the power back to biologists. We want to stand up something that they can play around with different parameters for their models because not every … parameter is fixed. We want to make sure we are giving them the power to run the analyses.” — Krishna Yeramsetty, Principal Data Scientist at Infinome “Flyte plays a vital role as a key component of Gojek's ML Platform by providing exactly that." — Pradithya Aria Pura, Principal Engineer at Goj
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    Amazon SageMaker
    Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. Traditional ML development is a complex, expensive, iterative process made even harder because there are no integrated tools for the entire machine learning workflow. You need to stitch together tools and workflows, which is time-consuming and error-prone. SageMaker solves this challenge by providing all of the components used for machine learning in a single toolset so models get to production faster with much less effort and at lower cost. Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps. SageMaker Studio gives you complete access, control, and visibility into each step required.
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    TensorFlow

    TensorFlow

    TensorFlow

    An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.
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    Tencent Cloud TI Platform
    Tencent Cloud TI Platform is a one-stop machine learning service platform designed for AI engineers. It empowers AI development throughout the entire process from data preprocessing to model building, model training, model evaluation, and model service. Preconfigured with diverse algorithm components, it supports multiple algorithm frameworks to adapt to different AI use cases. Tencent Cloud TI Platform delivers a one-stop machine learning experience that covers a complete and closed-loop workflow from data preprocessing to model building, model training, and model evaluation. With Tencent Cloud TI Platform, even AI beginners can have their models constructed automatically, making it much easier to complete the entire training process. Tencent Cloud TI Platform's auto-tuning tool can also further enhance the efficiency of parameter tuning. Tencent Cloud TI Platform allows CPU/GPU resources to elastically respond to different computing power needs with flexible billing modes.
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    AlxBlock

    AlxBlock

    AlxBlock

    AIxBlock is a blockchain-based end-to-end platform for AI, harnessing unused computing resources from BTC miners and all idle global consumer GPUs. Our platform's core training method is a hybrid distributed machine learning approach, enabling simultaneous training across multiple nodes. We employ the DeepSpeed-TED algorithm, an innovative three-dimensional hybrid parallel algorithm that integrates data, tensor, and expert parallelism. This facilitates the training of Mixture of Experts (MoE) models on base models 4 to 8 times larger than those supported by the current state-of-the-art. The platform will seamlessly identify and add new compatible computing resources available in the computing marketplace to your existing training nodes cluster, and distribute the current ML model to be trained on unlimited computes. This process dynamically and automatically unfolds, culminating in the creation of decentralized supercomputers that facilitate AI success.
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    ScoopML

    ScoopML

    ScoopML

    Easy-to-Use Build advanced predictive models without math & coding - in just a few clicks. Complete Experience. From cleaning data to building models to making predictions, we provide you all. Trustworthy. Know the 'why' behind AI decisions and drive business with actionable insights. Data Analytics in minutes, without writing code. The total process of building ML algorithms, explaining results, and predicting outcomes in one single click. Machine Learning in 3 Steps. Go from raw data to actionable analytics without writing a single line of code. Upload your data. Ask questions in plain english. Get the best performing model for your data and Share your results. Increase Customer Productivity. We help Companies to leverage no code Machine learning to improve their Customer Experience.
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    cnvrg.io

    cnvrg.io

    cnvrg.io

    Scale your machine learning development from research to production with an end-to-end solution that gives your data science team all the tools they need in one place. As the leading data science platform for MLOps and model management, cnvrg.io is a pioneer in building cutting-edge machine learning development solutions so you can build high-impact machine learning models in half the time. Bridge science and engineering teams in a clear and collaborative machine learning management environment. Communicate and reproduce results with interactive workspaces, dashboards, dataset organization, experiment tracking and visualization, a model repository and more. Focus less on technical complexity and more on building high impact ML models. Cnvrg.io container-based infrastructure helps simplify engineering heavy tasks like tracking, monitoring, configuration, compute resource management, serving infrastructure, feature extraction, and model deployment.
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    Azure Machine Learning
    Accelerate the end-to-end machine learning lifecycle. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.
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    Daria

    Daria

    XBrain

    Daria’s advanced automated features allow users to quickly and easily build predictive models, significantly cutting back on days and weeks of iterative work associated with the traditional machine learning process. Remove financial and technological barriers to build AI systems from scratch for enterprises. Streamline and expedite workflows by lifting weeks of iterative work through automated machine learning for data experts. Get hands-on experience in machine learning with an intuitive GUI for data science beginners. Daria provides various data transformation functions to conveniently construct multiple feature sets. Daria automatically explores through millions of possible combinations of algorithms, modeling techniques and hyperparameters to select the best predictive model. Predictive models built with Daria can be deployed straight to production with a single line of code via Daria’s RESTful API.
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    Deeploy

    Deeploy

    Deeploy

    Deeploy helps you to stay in control of your ML models. Easily deploy your models on our responsible AI platform, without compromising on transparency, control, and compliance. Nowadays, transparency, explainability, and security of AI models is more important than ever. Having a safe and secure environment to deploy your models enables you to continuously monitor your model performance with confidence and responsibility. Over the years, we experienced the importance of human involvement with machine learning. Only when machine learning systems are explainable and accountable, experts and consumers can provide feedback to these systems, overrule decisions when necessary and grow their trust. That’s why we created Deeploy.
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    Cauliflower

    Cauliflower

    Cauliflower

    Whether for a service or a product, whether a snapshot or monitoring over time - Cauliflower processes feedback and comments from various application areas. Using Artificial Intelligence (AI), Cauliflower identifies the most important topics, their relevance, evaluation and relationships. In-house developed machine learning models for the extraction of content and evaluation of sentiment. Intuitive dashboards with filter options and drill-downs. Use included variables for language, weight, ID, time or location. Define your own filter variables in the dropdown. Cauliflower translates the results into a uniform language if required. Define a company-wide language about customer feedback instead of reading it sporadically and quoting individual opinions.
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    DiscoverText
    Collaborative text analytics for human and machine-learning. We provide dozens of multilingual, text mining, data science, human annotation, and machine-learning features. DiscoverText offers a range of simple to advanced cloud-based software tools empowering users to quickly and accurately evaluate large amounts of text data. Our customers sort unstructured free text common in market research, as well as associated metadata, also found in customer feedback platforms, CRMs, chats, email, large scale HR or other surveys, public comment to government agencies, Twitter, RSS feeds, and other forms of text data. Find out why we are ranked #1 for text, metadata, and social network analysis support and trusted by hundreds of academic research groups. Our machine-learning sifters are created in hours or just a few minutes using crowdsourcing. We offer an API and support technical integrations with Twitter and SurveyMonkey.
  • 15
    Hive AutoML
    Build and deploy deep learning models for custom use cases. Our automated machine learning process allows customers to create powerful AI solutions built on our best-in-class models and tailored to the specific challenges they face. Digital platforms can quickly create models specifically made to fit their guidelines and needs. Build large language models for specialized use cases such as customer and technical support bots. Create image classification models to better understand image libraries for search, organization, and more.
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    Hugging Face

    Hugging Face

    Hugging Face

    A new way to automatically train, evaluate and deploy state-of-the-art Machine Learning models. AutoTrain is an automatic way to train and deploy state-of-the-art Machine Learning models, seamlessly integrated with the Hugging Face ecosystem. Your training data stays on our server, and is private to your account. All data transfers are protected with encryption. Available today: text classification, text scoring, entity recognition, summarization, question answering, translation and tabular. CSV, TSV or JSON files, hosted anywhere. We delete your training data after training is done. Hugging Face also hosts an AI content detection tool.
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    Watson Natural Language Understanding
    Watson Natural Language Understanding is a cloud native product that uses deep learning to extract metadata from text such as entities, keywords, categories, sentiment, emotion, relations, and syntax. Get underneath the topics mentioned in your data by using text analysis to extract keywords, concepts, categories and more. Analyze your unstructured data in more than thirteen languages. Out-of-the-box machine learning models for text mining provide a high degree of accuracy across your content. Deploy Watson Natural Language Understanding behind your firewall or on any cloud. Train Watson to understand the language of your business and extract customized insights with Watson Knowledge Studio. Maintain ownership of your data with the assurance that your data is safe and secure. IBM will not collect or store your data. By using our advanced natural language processing (NLP) service, we give developers the tools to process and extract valuable insights from unstructured data.
  • 18
    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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    IBM watsonx
    Watsonx is our upcoming enterprise-ready AI and data platform designed to multiply the impact of AI across your business. The platform comprises three powerful components: the watsonx.ai studio for new foundation models, generative AI and machine learning; the watsonx.data fit-for-purpose store for the flexibility of a data lake and the performance of a data warehouse; plus the watsonx.governance toolkit, to enable AI workflows that are built with responsibility, transparency and explainability. Watsonx is our enterprise-ready AI and data platform designed to multiply the impact of AI across your business. The platform comprises three powerful products: the watsonx.ai studio for new foundation models, generative AI and machine learning; the watsonx.data fit-for-purpose data store, built on an open lakehouse architecture; and the watsonx.governance toolkit, to accelerate AI workflows that are built with responsibility, transparency and explainability.
  • 20
    PredictSense
    PredictSense is an end-to-end Machine Learning platform powered by AutoML to create AI-powered analytical solutions. Fuel the new technological revolution of tomorrow by accelerating machine intelligence. AI is key to unlocking value from enterprise data investments. PredictSense enables businesses to monetize critical data infrastructure and technology investments by creating AI driven advanced analytical solutions rapidly. Empower data science and business teams with advanced capabilities to quickly build and deploy robust technology solutions at scale. Easily integrate AI into the current product ecosystem and fast track GTM for new AI solutions. Incur huge savings in cost, time and effort by building complex ML models in AutoML. PredictSense democratizes AI for every individual in the organization and creates a simple, user-friendly collaboration platform to seamlessly manage critical ML deployments.
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    Obviously AI

    Obviously AI

    Obviously AI

    The entire process of building machine learning algorithms and predicting outcomes, packed in one single click. Not all data is built to be ready for ML, use the Data Dialog to seamlessly shape your dataset without wrangling your files. Share your prediction reports with your team or make them public. Allow anyone to start making predictions on your model. Bring dynamic ML predictions into your own app using our low-code API. Predict willingness to pay, score leads and much more in real-time. Obviously AI puts the world’s most cutting-edge algorithms in your hands, without compromising on performance. Forecast revenue, optimize supply chain, personalize marketing. You can now know what happens next. Add a CSV file OR integrate with your favorite data sources in minutes. Pick your prediction column from a dropdown, we'll auto build the AI. Beautifully visualize predicted results, top drivers and simulate "what-if" scenarios.
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    Xilinx

    Xilinx

    Xilinx

    The Xilinx’s AI development platform for AI inference on Xilinx hardware platforms consists of optimized IP, tools, libraries, models, and example designs. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on Xilinx FPGA and ACAP. Supports mainstream frameworks and the latest models capable of diverse deep learning tasks. Provides a comprehensive set of pre-optimized models that are ready to deploy on Xilinx devices. You can find the closest model and start re-training for your applications! Provides a powerful open source quantizer that supports pruned and unpruned model quantization, calibration, and fine tuning. The AI profiler provides layer by layer analysis to help with bottlenecks. The AI library offers open source high-level C++ and Python APIs for maximum portability from edge to cloud. Efficient and scalable IP cores can be customized to meet your needs of many different applications.
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    UpTrain

    UpTrain

    UpTrain

    Get scores for factual accuracy, context retrieval quality, guideline adherence, tonality, and many more. You can’t improve what you can’t measure. UpTrain continuously monitors your application's performance on multiple evaluation criterions and alerts you in case of any regressions with automatic root cause analysis. UpTrain enables fast and robust experimentation across multiple prompts, model providers, and custom configurations, by calculating quantitative scores for direct comparison and optimal prompt selection. Hallucinations have plagued LLMs since their inception. By quantifying degree of hallucination and quality of retrieved context, UpTrain helps to detect responses with low factual accuracy and prevent them before serving to the end-users.
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    SAS Text Miner

    SAS Text Miner

    SAS Institute

    Extract information from a collection of text documents and uncover the themes and concepts that are concealed in them. SAS Text Miner enables you to combine quantitative variables with unstructured text and thereby incorporate text mining with other traditional data mining techniques. SAS Text Miner is a component of SAS® Enterprise Miner. SAS Enterprise Miner must be installed on the same machine. SAS High-Performance Text Mining runs on a computer grid or a single computer system with multiple CPUs. Text algorithms are multi-threaded and process in-memory, which increases responsiveness and concurrency, reducing I/O burden. It is accessible as nodes within the SAS High-Performance Data Mining environment or as two procedures PROC HPTMINE and PROC HPTMSCORE. Learn SAS technology quickly and efficiently by taking a course from the analytics experts.
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    MonkeyLearn

    MonkeyLearn

    MonkeyLearn

    MonkeyLearn makes it simple to clean, label and visualize customer feedback — all in one place. Powered by cutting edge Artificial Intelligence. All-in-one text analysis and data visualization studio. Gain instant insights when you run an analysis on your data. Use ready-made machine learning models, or build and train your own – code free. Discover our templates, tailored for different business scenarios and equipped with pre-made text analysis models and dashboards. Identify the topics and interests that matter most to target markets. Execute demand generation and sales strategies based on accurate analyses of customer opinions and feelings. Slice and dice your survey responses by requests, intent, and sentiment. See more than the survey intended.
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    VizRefra

    VizRefra

    VizRefra

    Analyze text with viztext 2D & 3D mapping text analysis topic modeling, sentiment analysis, word cloud. A unique machine learning algorithm to visualize topics in the text you want to discover. Text analysis provides topic modelling with navigation through 2D/ 3D maps. Uses referential framework to make logical relational topic analysis with zoom-in and zoom-out features on 2D and 3D maps including colorful word cloud. Analysis on the level of sentiment in the text with pie chart on ratio between positive, negative and neutral. Graphs top entities in the text with percentage as well as highlights in the text with entity type: government, person, organization, etc. Simple drag and drop, upload text file or paste text from the web or social media posts or enter HTTP address for a website that contains text article you like to analyze.
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    Azure Text Analytics
    Mine insights in unstructured text using NLP—no machine-learning expertise required—using text analytics, a collection of features from Cognitive Service for Language. Gain a deeper understanding of customer opinions with sentiment analysis. Identify key phrases and entities such as people, places, and organizations to understand common topics and trends. Classify medical terminology using domain-specific, pretrained models. Evaluate text in a wide range of languages. Identify important concepts in text, including key phrases and named entities such as people, events, and organizations. Examine what customers are saying about your brand and analyze sentiments around specific topics through opinion mining. Extract insights from unstructured clinical documents such as doctors' notes, electronic health records, and patient intake forms using text analytics for health.
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    Predibase

    Predibase

    Predibase

    Declarative machine learning systems provide the best of flexibility and simplicity to enable the fastest-way to operationalize state-of-the-art models. Users focus on specifying the “what”, and the system figures out the “how”. Start with smart defaults, but iterate on parameters as much as you’d like down to the level of code. Our team pioneered declarative machine learning systems in industry, with Ludwig at Uber and Overton at Apple. Choose from our menu of prebuilt data connectors that support your databases, data warehouses, lakehouses, and object storage. Train state-of-the-art deep learning models without the pain of managing infrastructure. Automated Machine Learning that strikes the balance of flexibility and control, all in a declarative fashion. With a declarative approach, finally train and deploy models as quickly as you want.
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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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    Gradio

    Gradio

    Gradio

    Build & Share Delightful Machine Learning Apps. Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere! Gradio can be installed with pip. Creating a Gradio interface only requires adding a couple lines of code to your project. You can choose from a variety of interface types to interface your function. Gradio can be embedded in Python notebooks or presented as a webpage. A Gradio interface can automatically generate a public link you can share with colleagues that lets them interact with the model on your computer remotely from their own devices. Once you've created an interface, you can permanently host it on Hugging Face. Hugging Face Spaces will host the interface on its servers and provide you with a link you can share.
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    Delineate

    Delineate

    Delineate

    Delineate offers an easy-to-use platform for generating machine learning-driven predictive models for a range of purposes. Enrich your CRM data with churn predictions, sales forecasts, and even build data products for your customers and team, just to name a few. With Delineate you can access data-driven insights to improve decision-making with ease. The platform caters to founders, revenue teams, product managers, executives, and data enthusiasts. Try Delineate and unleash your data's full potential.
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    Baidu AI Cloud Machine Learning (BML)
    Baidu AI Cloud Machine Learning (BML), an end-to-end machine learning platform designed for enterprises and AI developers, can accomplish one-stop data pre-processing, model training, and evaluation, and service deployments, among others. The Baidu AI Cloud AI development platform BML is an end-to-end AI development and deployment platform. Based on the BML, users can accomplish the one-stop data pre-processing, model training and evaluation, service deployment, and other works. The platform provides a high-performance cluster training environment, massive algorithm frameworks and model cases, as well as easy-to-operate prediction service tools. Thus, it allows users to focus on the model and algorithm and obtain excellent model and prediction results. The fully hosted interactive programming environment realizes the data processing and code debugging. The CPU instance supports users to install a third-party software library and customize the environment, ensuring flexibility.
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    EvaluAgent

    EvaluAgent

    EvaluAgent

    Our Quality Assurance Platform helps Contact Centers like yours to optimize customer, agent and user experience to ultimately thrive. Answer a few simple questions and learn where you are on your journey to Smart Quality, and we'll provide you with personalized recommendations for how to take your QA to the next level. Mitigate risk by unifying customer feedback, performance data and text analytics to quickly identify conversations that require your attention. Integrate and fetch conversations, survey results and performance data into the most connected QA & improvement platform on the market. Auto-score 100% of calls, emails and chat sessions to highlight CX and compliance breaches. Build your own signals and filters to send conversations to your QA team for deep-dive evaluation and root-cause analysis. Generate reports your business will act on. Demonstrate ROI by plotting how your QA efforts increase efficiency, sales and both customer and employee satisfaction.
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    LatticeFlow

    LatticeFlow

    LatticeFlow

    Empower your ML teams to deliver robust and performant AI models by auto-diagnosing and improving your data and models. The only platform that can auto-diagnose data and models, empowering ML teams to deliver robust and performant AI models faster. Covering camera noise, sign stickers, shadows, and others. Confirmed with real-world images on which the model systematically fails. While improving model accuracy by 0.2%. Our mission is to change the way the next generation of AI systems is built. If we are to use AI in our businesses, at doctor’s offices, on our roads, or in our homes, we need to build AI systems that companies and users can trust. We are leading AI professors and researchers from ETH Zurich with broad expertise in formal methods, symbolic reasoning, and machine learning. We started LatticeFlow with the goal of building the world’s first platform that enables companies to deliver robust AI models that work reliably in the wild.
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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.
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    Simplismart

    Simplismart

    Simplismart

    Fine-tune and deploy AI models with Simplismart's fastest inference engine. Integrate with AWS/Azure/GCP and many more cloud providers for simple, scalable, cost-effective deployment. Import open source models from popular online repositories or deploy your own custom model. Leverage your own cloud resources or let Simplismart host your model. With Simplismart, you can go far beyond AI model deployment. You can train, deploy, and observe any ML model and realize increased inference speeds at lower costs. Import any dataset and fine-tune open-source or custom models rapidly. Run multiple training experiments in parallel efficiently to speed up your workflow. Deploy any model on our endpoints or your own VPC/premise and see greater performance at lower costs. Streamlined and intuitive deployment is now a reality. Monitor GPU utilization and all your node clusters in one dashboard. Detect any resource constraints and model inefficiencies on the go.
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    BytesView

    BytesView

    Algodom Media

    BytesView is an advanced machine learning and NLP-based text analysis tool. It can compile and analyze large volumes of text data from multiple information sources with ease. The various text mining and analysis models can help analyze and extract valuable insights from unstructured text. BytesView also offers API services that can help you train custom data analysis models with data specific to your organization to increase accuracy and efficiency.
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    ClearML

    ClearML

    ClearML

    ClearML is the leading open source MLOps and AI platform that helps data science, ML engineering, and DevOps teams easily develop, orchestrate, and automate ML workflows at scale. Our frictionless, unified, end-to-end MLOps suite enables users and customers to focus on developing their ML code and automation. ClearML is used by more than 1,300 enterprise customers to develop a highly repeatable process for their end-to-end AI model lifecycle, from product feature exploration to model deployment and monitoring in production. Use all of our modules for a complete ecosystem or plug in and play with the tools you have. ClearML is trusted by more than 150,000 forward-thinking Data Scientists, Data Engineers, ML Engineers, DevOps, Product Managers and business unit decision makers at leading Fortune 500 companies, enterprises, academia, and innovative start-ups worldwide within industries such as gaming, biotech , defense, healthcare, CPG, retail, financial services, among others.
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    Emly Labs

    Emly Labs

    Emly Labs

    Emly Labs is an AI framework designed to make AI accessible for users at all technical levels through a user-friendly platform. It offers AI project management with tools for guided workflows and automation for faster execution. The platform encourages team collaboration and innovation, provides no-code data preparation, and integrates external data for robust AI models. Emly AutoML automates data processing and model evaluation, reducing human input. It prioritizes transparency, with explainable AI features and robust auditing for compliance. Security measures include data isolation, role-based access, and secure integrations. Additionally, Emly's cost-effective infrastructure allows on-demand resource provisioning and policy management, enhancing experimentation and innovation while reducing costs and risks.
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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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    Zinia

    Zinia

    Zinia

    The Zinia artificial intelligence platform connects the dots between the key business decision maker and AI. You can now build your trusted AI models without depending on technical teams and ensure alignment of AI with business objectives. Ground-breaking technology simplified to help you build AI backwards from business. Improves revenue by 15-20% and increases efficiency by cutting AI implementation time from months to days. Zinia optimises business outcomes with human-centered AI. Most AI development in organisations is misaligned with business KPIs. Zinia is built with the vision to address this key problem by democratising AI for you. Zinia brings business fit cutting-edge ML and AI Technology into your hands. Built by a team with more than 50 years of experience in AI, Zinia is your trusted platform that simplifies ground-breaking technology and gives you the fastest path from data to business decisions.
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    Kimola Cognitive
    Kimola Cognitive is a rock-solid Machine Learning Platform that enables users to grab reviews from 20+ channels and analyze + classify customer feedback -or any text data- automatically. Here are the TOP skills of Kimola Cognitive: - Scrape Web and Collect Reviews - Text Analysis with Entity Recognition - Analyze Data with Pre-Built models on Kimola Cognitive Gallery - Create, Train and Store Your Own Custom Models (No Coding Skills are Required) - Create Executive Summary, Generate SWOT Analysis and many powerful marketing materials using GPT Integration - Available in 6 languages (and counting!)
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    Conversus.AI

    Conversus.AI

    Converseon

    Take control of your models with the leading Machine Learning-as-a-Service Platform for unstructured social and voice-of-customer text analytics. Our experienced team of experts can help you build highly-advanced, bespoke social models to leverage, deploy, generalize and utilize your information properly. Align your social listening initiatives with best practice AI strategies for transparency, accuracy and fairness. New to social listening or want to advance the effectiveness of your solution? We provide the industry’s most experienced team to help guide your journey. You have the data but now want to discover critical insights. We provide a wide range of industry-leading programmatic insight solutions powered by our AI classifiers. Choose from a robust library of industry-based prebuilt machine learning models for immediate deployment. Help ensure your models are not inadvertently discriminatory and inaccurate. Understand the performance of each model clearly before deployment.
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    MPP BI

    MPP BI

    Luxms Group

    A Business Intelligence platform natively running with massively parallel databases for data visualization, operational analytics, tracking and reporting. MPP BI paves information superhighway to your business data. Preparation. All necessary data from all required data sources. Clean, consolidated and ready for your work. A wide range of integration options. Processing. No limits on combination of different data types, processing methods and update frequency. Visualization. Loads of basic data visuals, drilling down, ratings, and other nice things for more comfortable working with data for decision-makers. Collaboration. Interactive presentations, natively embedded analytics on your corporate portal and easy data export. Powerful text analytics to reveal valuable meaning of your text data. On top of our MPP BI platform we’ve built a fast and scalable text analytical engine - MPP NLP. It provides: text filtering and rule-based or machine learning classification.
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    Teachable Machine

    Teachable Machine

    Teachable Machine

    A fast, easy way to create machine learning models for your sites, apps, and more – no expertise or coding required. Teachable Machine is flexible – use files or capture examples live. It’s respectful of the way you work. You can even choose to use it entirely on-device, without any webcam or microphone data leaving your computer. Teachable Machine is a web-based tool that makes creating machine learning models fast, easy, and accessible to everyone. Educators, artists, students, innovators, makers of all kinds – really, anyone who has an idea they want to explore. No prerequisite machine learning knowledge required. You train a computer to recognize your images, sounds, and poses without writing any machine learning code. Then, use your model in your own projects, sites, apps, and more.
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    IBM Watson Machine Learning
    IBM Watson Machine Learning is a full-service IBM Cloud offering that makes it easy for developers and data scientists to work together to integrate predictive capabilities with their applications. The Machine Learning service is a set of REST APIs that you can call from any programming language to develop applications that make smarter decisions, solve tough problems, and improve user outcomes. Take advantage of machine learning models management (continuous learning system) and deployment (online, batch, streaming). Select any of widely supported machine learning frameworks: TensorFlow, Keras, Caffe, PyTorch, Spark MLlib, scikit learn, xgboost and SPSS. Use the command-line interface and Python client to manage your artifacts. Extend your application with artificial intelligence through the Watson Machine Learning REST API.
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    IBM Watson Discovery
    Find specific answers and trends from documents and websites using search powered by AI. Watson Discovery is AI-powered search and text-analytics that uses innovative, market-leading natural language processing to understand your industry’s unique language. It finds answers in your content fast and uncovers meaningful business insights from your documents, webpages and big data, cutting research time by more than 75%. Semantic search is much more than keyword search. Unlike traditional search engines, when you ask a question, Watson Discovery adds context to the answer. It quickly combs through content in your connected data sources, pinpoints the most relevant passage and provides the source documents or webpage. A next-level search experience with natural language processing that makes all necessary information easily accessible. Use machine learning to visually label text, tables and images, while surfacing the most relevant results.
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    PrepAI

    PrepAI

    PrepAI

    PrepAI helps the content leaders and exam administrators in saving time and reducing human errors while generating the question papers for offline or online exams. PrepAI provides supportive state assessment that boosts student achievement. Programs offer realistic assessment rehearsals as well as consistent practice based on artificial intelligence. The initiative aims to improve student learning in schools, edtech businesses and educational institutions. Our artificial intelligence platform and collaborative platforms were developed by Edtech professionals, and innovative engineers. PrepAI uses Natural Language Processing technique for text analysis engine so the evaluation is effective and has a higher impact on the learning. The team of product experts at PrepAI develops the best solutions for individuals and organizations based on their unique requirements. It also contributes to a rigorous study program aligned to standards that can better prepare students to succeed in
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    Cognitive Search and Discovery
    Attivio is unique in its ability to unify and analyze all types of enterprise information from a single platform. Gone is the necessity and challenge of integrating separate search, text mining, and BI tools. Correlating facts across applications and data repositories, Attivio is the fastest path to understanding and using 100% of the information that drives your innovation and operations. Whether you are developing new solutions on emerging sources or integrating siloed apps and their repositories, Attivio’s Insight Engine can profile, identify, and unify every source, regardless of its location or format. Don’t settle for anything less than a complete 360-degree view. Learn why independent analysts recognize Attivio as a leading provider of solutions that analyze unstructured content, correlate those results with structured information, and deliver actionable insight.
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    PostgresML

    PostgresML

    PostgresML

    PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. PostgresML abstracts the data management overhead from the ML/AI lifecycle by enabling users to run ML/LLM models directly on a Postgres database.