Google Cloud AutoML Alternatives and Competitors

Azure Machine Learning helps 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.

Neuro AI software is a platform used to train models in the cloud instantly. The software offers tools to build models with ML library of choice and upload the model with the API. Train model or run predictions from a python script or from your notebook of choice. Developers, Small and Medium companies make use of the software.

BigML offers a highly scalable, cloud-based Machine Learning service that is easy to use, seamless to integrate, and instantly actionable. Instant Machine Learning at your fingertips in the cloud or on-premises. Either way, you will be up and running with an easy-to-use web interface and REST API in a matter of seconds. All predictive models on BigML come with interactive visualization and explainability features that make them interpretable. BigML is a transparent, collaborative platform for all members of your organization, from analysts and developers to engineers and executives.

Amazon SageMaker is a fully integrated service that allows data scientists and developers to easily and quickly train, deploy, and build machine learning models at any range by bringing all bot set capabilities together. It allows users to upload data quickly, tune and train models, compare results and deploy production models all in one place. This software offers a single web-based visual interface to perform all machine learning development steps and enhance data science and team productivity. Moreover, Amazon SageMaker comprises the autopilot features that eliminate the heavy lifting of building a machine learning model and helps users automatically train, build, and tune the ideal machine learning model based on their data. Amazon SageMaker autopilot will automatically search different solutions to discover the best model. Users then can directly deploy the model to production in one click to enhance the model quality. Amazon SageMaker offers other extensive features that assists users in simplifying the data preparation process and helping complete the data preparation workflow. Amazon SageMaker offers a premium and follows a subscription-based pricing strategy.

BasicAI Platform is available as a Cloud SaaS service or as licensed software for private cloud or on-premisies deployemnt. Utilize our managed labeling services, manage your own workforce, or take a hybrid approach.

DeepBrainz AI creates the technology for builders (data scientists and developers), business decision-makers (business leaders) to drive AI transformation in the mid-to-large enterprises across industry sectors. Manage, understand and interpret your machine learning models, experiments, and end-to-end workflows with X-MLOps by deploying robust, repeatable X-ML pipelines with continuous ML evaluation tools. secure AI repository with one-click deployment for deep learning, ML that accelerates deployment to development workflows to focus on building solutions, gathering insights, and delivering business value.

Commerce.AI software is a platform used to manage unstructured data into smart actions using AI technology built specifically for commerce. The software offers tools to process data types with build multi-level user profiles based on user attributes and language patterns. Analyze deeper sentiments with pre-trained ML models and can generate reports based on preset parameters via dashboard. Professionals, Small and Medium companies make use of the software.

Booste software is a platform used to create Machine Learning Models with single code. The software offers tools like text generation and image classification to predict words and ideas within images. Small and Medium companies make use of the software.

Train AI Models at Scale. Orchestrate training environments automatically, that have the right software tools from the start. Focus on Machine Learning, without wasting time on configurations and infrastructure. Upload machine learning models, and deploy them as URL callable REST APIs. Deploifai creates an API for the model, and deploys the infrastructure automatically

The Oracle Data Science Cloud Service enables data science teams to easily organize their work, access data and computing resources, and build, train, deploy, and manage models on the Oracle Cloud. Launch environments with popular machine learning frameworks like TensorFlow and scikit-learn, or easily install any other open-source package. You can build and train models within a notebook environment leveraging high-performance Oracle Cloud Infrastructure.

Amazon Personalize is a machine learning platform that empowers developers to create individualised recommendations for customers using their apps. With tailored search results and targeted marketing promotions, more sales can be driven. With an easy to use service, Amazon makes it possible for developers who have no prior knowledge of machine learning to leverage the benefits of the technology and easily build personalisation features into their apps with high scalability. Common issues that can be overcome with such an ecosystem include handling new users with no data, popularity biases, and catering to the evolving intent of users. Users can deliver personalisation results within days by creating and deploying custom models with a few clicks. The platform automates the machine learning tasks that are involved in the deployment of a personalisation model. For instance, it personalizes every touch point in the user’s journey to extend unique experiences to every customer.

Machine learning has produced business and research breakthroughs ranging from network security to medical diagnoses. We built the Tensor Processing Unit (TPU) in order to make it possible for anyone to achieve similar breakthroughs. Cloud TPU is the custom-designed machine learning ASIC that powers Google products like Translate, Photos, Search, Assistant, and Gmail. Here’s how you can put the TPU and machine learning to work accelerating your company’s success, especially at scale.

Appier AiDeal is a conversion optimization cloud that uses psychology to discover and convert hesitant shoppers. AiDeal uses more than 400 data parameters, such as chronology, cursor movements, and more, to model each user's reluctance degree and purchase intentions. It exclusively targets hesitant buyers who require extra motivation to place an order, and it prompts immediate sales. Individuals can further employ a limited special offer to give customers the push they require to checkout out at the proper time. With the same budget, the software attracts a greater number of consumers. Appier AiDeal's performance reward payment mechanism ensures that every penny a customer spends adds immediately to a performance boost. The ability to understand customer psychology by leveraging vast on-app or onsite signals, in-depth insights on hesitant users, easy integration and management, customised timings, and the ability to scale to multiple channels by reconciling data and increasing conversion and lifetime value are just a few of the highlights.

Neptune.ml is a smart collaboration platform that assists uses in managing their workflow. It is a perfect solution for freelancers and companies of all sizes that are involved in the collaboration business. It enables the users to work in collaboration with your team and teammates for mutual growth and learning. With Neptune.ml, users get smart tools that can be used for measuring the progress of various processes using data versions, metrics, model files, hyper parameters, source code, and images. You can work in collaboration with your team, have resourceful discussions, and discover knowledgeable insights- all in a single place. You can manage all of your model building metadata with Neptune.ml. Users can store, log, organize, display, query, and compare all of your MLOps metadata with Neptune.ml. Users can also experiment with tracking and their model registry for research purposes with their products using this software. They offer a free trial to assist you in making the right choice before buying the premium version. You also get a variety of premium plan options to choose from with Neptune.ml.

Replicate is an innovative machine learning solution that professionals everywhere can benefit from. It makes it easy to use machine learning models, without requiring extensive knowledge of the technology itself. With Replicate, users can run these in just a few lines of code - allowing professionals to join the world of machine learning without significant delays or roadblocks. This is great for businesses that may be looking to take advantage of this powerful technology but don't have the resources to hire experts in all fields. Replicate provides an entryway into the world of machine learning while still keeping professional knowledge at the center. Whether customer is a business leader looking to leverage new technologies or a programmer adding extra power to existing solutions, Replicate gives everyone access to its powerful capabilities. By making it easier than ever before, Replicate opens up amazing new possibilities and potential for what's achievable with machine learning. Whether customer is a data scientist, engineer or casual tinkerer, Replicate has all the tools that need to take the machine learning projects to new heights. Get started today, and get on the path towards unlocking the potential of AI!

Gradio is a powerful platform that enables users to quickly and easily demo their machine-learning models with a user-friendly web interface accessible from anywhere. The platform's advanced features enable users to create custom demos that showcase the capabilities of their models, making it easier for businesses to collaborate and communicate effectively. Gradio is designed to be user-friendly, even for those without extensive technical expertise, making it accessible to a broad range of users. With Gradio, businesses can easily share their models with clients, stakeholders, or anyone else, enabling them to gain valuable insights into the model's capabilities and potential use cases. The platform's speed and reliability make it an essential tool for businesses seeking to showcase their machine-learning models quickly and efficiently. In summary, Gradio is a highly effective platform for businesses seeking to demo their machine learning models, providing them with a user-friendly interface that anyone can use, anywhere.

AI21 Studio is a leading provider of state-of-the-art artificial intelligence solutions for natural language processing. The platform provides API access to powerful Jurassic-2 and Task-Specific language models, which power text generation and comprehension features in thousands of live applications. These models are trained on vast amounts of data and are continually improved to provide the best results for natural language processing tasks. What sets Jurassic-2 models apart is their ability to adapt to new tasks without requiring any examples. With Jurassic-2 models, can generate high-quality text and comprehend complex language with ease. These models have been extensively tested and proven to outperform traditional methods, making them a top choice for text generation and comprehension needs. Contextual answers models excel at understanding complex questions and providing relevant answers that are suitable for specific contexts. Summarization models are perfect for extracting the most critical information from large texts, while paraphrasing models can accurately rephrase sentences or paragraphs without losing their original meaning. The training methods are constantly evolving, incorporating the latest advancements in AI research to ensure that models are always at the forefront.

V7 labs are an end-to-end computer vision development framework for teams creating image and video annotation products. Albert Rizzoli (CEO) and Simon Edwardson (CTO) founded the company in 2018, and it is based in London, United Kingdom. Using an intuitive UI or sophisticated API connections to manage datasets at ground-truth. Provides customers with configurable workflow phases and maintains crowdsourcing with hundreds of annotators. V7 claimed to have semi-automatically labeled over 1,000 photos and used video segmentation to curate datasets in less than a year. Healthcare, manufacturing, autonomous driving, sports, life sciences, and agri-tech are among V7's specialties. The Darwin Platform (from V7 laboratories) includes automatic picture annotation and neural network training with active learning, which provide pixel-perfect annotation 10 times faster than standard techniques. It facilitates team collaboration and visualization, and has resulted in a significant boost in the labeling process' efficiency and accuracy. It also scales well to meet the needs of users who require tight compliance and compatibility. The framework's active documentation gives information about each toolset, making it user-friendly.

Aginity is an integrated analytics and data management platform. It provides a powerful set of tools to access as well as integrate data from an external file or relational database. The easy to understand SQL interface facilitates the easy and quick building of custom analytics. Past work can be easily accessed through its catalog feature and assets can be shared with the entire team of data analysts, data engineers, data scientists, and business users. Data and math can be co-located easily, which enables data engineers and data scientists to create and manage analytics to be consistently reused in the enterprise. When reusing SQL, there’s no need to recode it. Users can track analytic provenance, record how analytics are built or changed, speed up the development process and even enable analytic probability across applications and users with APIs. Core feature is that users can easily integrate and analyze data from their favorite databases including Snowflake, Amazon Azure, Amazon RDS, Apache Spark, and so on.

Welcome to the next frontier of AI innovation Run:ai. With this advanced solutions for team collaboration and workflow management, they can transform their AI infrastructure and take their development to new heights. As a team of experts in cutting-edge AI technology, they understand the challenges of resource management, cost efficiency, and heterogeneous clusters faced by professionals like themself. That's why they have created Run:ai – the ultimate solution for all their AI needs. Imagine being able to optimize their resources, accelerate development, and stay ahead in the AI race all with just one tool. With Run:ai's Workload Scheduler, tailored specifically for the AI life cycle, they can do just that. Say goodbye to manual scheduling and hello to seamless, efficient execution. But that's not all. They know that Notebook Farms and Inference environments can be expensive, which is why they have introduced Fractional GPUs to help they increase cost efficiency. And with this intuitive control features, such as quotas, priorities, and policies at the Node Pool level, they can easily manage their heterogeneous AI Clusters with ease and precision. Worried about orchestrating distributed containerized workloads on Cloud-Native AI Clusters? With Run:ai, they can put those concerns to rest. This innovative technology allows for seamless orchestration, ensuring that their AI clusters run at peak performance at all times.