Best On-Premise Machine Learning Software of 2024

The best platform for the entire lifecycle of computer vision. You can go from image annotation to precise neural networks in 10x less time. Our best-in-class data labeling software transforms images, videos, and 3D point clouds into high-quality training data. You can train your models, track experiments and visualize the results. Our self-hosted solution guarantees data privacy, powerful customization capabilities and easy integration into any technology stack. Computer Vision is a turnkey solution: multi-format data management, quality control at scale, and neural network training in an end-to-end platform. Professional video editing software created by data scientists for data science -- the most powerful tool for machine learning and other purposes.

AI teams are faced with challenges that require new technologies. These technologies are built by us. Existing data lakes and data warehouses do not work with unstructured data like text, images, or videos. AI and software development go hand in hand. Built with data scientists, ML experts, and data engineers at heart. Don't reinvent your wheel! Production is fast and cost-effective. All your data is stored by you. Your machines are used to train your models. Existing data lakes and data warehouses do not work with unstructured data like text, images, or videos. New technologies are required for AI teams. These technologies are built by us. Studio is an extension to BitBucket, GitLab, and GitHub. Register for the online SaaS version, or contact us to start an on-premise installation

Unutilized data is the biggest obstacle to scaling AI-powered decision making. IBM Cloud Pak®, for Data is a unified platform that provides a data fabric to connect, access and move siloed data across multiple clouds or on premises. Automate policy enforcement and discovery to simplify access to data. A modern cloud data warehouse integrates to accelerate insights. All data can be protected with privacy and usage policy enforcement. To gain faster insights, use a modern, high-performance cloud storage data warehouse. Data scientists, analysts, and developers can use a single platform to create, deploy, and manage trusted AI models in any cloud.

HPE Ezmeral ML Ops offers pre-packaged tools that enable you to operate machine learning workflows at any stage of the ML lifecycle. This will give you DevOps-like speed, agility, and speed. You can quickly set up environments using your preferred data science tools. This allows you to explore multiple enterprise data sources, and simultaneously experiment with multiple deep learning frameworks or machine learning models to find the best model for the business problems. On-demand, self-service environments that can be used for testing and development as well as production workloads. Highly performant training environments with separation of compute/storage that securely access shared enterprise data sources in cloud-based or on-premises storage.

A platform for machine learning and deep learning applications that is reproducible and scaleable. Learn more about the products and features that make up today's most innovative platform to manage data science workflows. Polyaxon offers an interactive workspace that includes notebooks, tensorboards and visualizations. You can collaborate with your team and share and compare results. Reproducible results are possible with the built-in version control system for code and experiments. Polyaxon can be deployed on-premises, in the cloud, or in hybrid environments. This includes single laptops, container management platforms, and Kubernetes. You can spin up or down, add nodes, increase storage, and add more GPUs.

MLReef allows domain experts and data scientists secure collaboration via a hybrid approach of pro-code and no-code development. Distributed workloads lead to a 75% increase in productivity. This allows teams to complete more ML project faster. Domain experts and data scientists can collaborate on the same platform, reducing communication ping-pong to 100%. MLReef works at your location and enables you to ensure 100% reproducibility and continuity. You can rebuild all work at any moment. To create interoperable, versioned, explorable AI modules, you can use git repositories that are already well-known. Your data scientists can create AI modules that you can drag and drop. These modules can be modified by parameters, ported, interoperable and explorable within your organization. Data handling requires a lot of expertise that even a single data scientist may not have. MLReef allows your field experts to assist you with data processing tasks, reducing complexity.

Almeta ML allows you to easily run machine learning calculations directly on your website. Calculate the propensity to buy or churn. Product recommendations, the best time to contact your users, and other metrics. Send a campaign, run a promotion, use ads to retarget, create a customized offer. Use with Google Ads (or Facebook Ads), Bing Ads (or any other advertising network) or any other. Use ML to score, target and personalize based on user behavior. Run pre-built or custom models. Use ML insights to maximize ROAS, minimize churn and minimize costs. Almeta ML has a usage-based pricing model with a free tier. You only pay for what you use based on how many events and model calculations you wish to run.

AIxBlock is an end-to-end blockchain-based platform for AI that harnesses unused computing resources of BTC miners, as well as all global consumer GPUs. Our platform's training method is a hybrid machine learning approach that allows simultaneous training on multiple nodes. We use the DeepSpeed-TED method, a three-dimensional hybrid parallel algorithm which integrates data, tensor and expert parallelism. This allows for the training of Mixture of Experts models (MoE) on base models that are 4 to 8x larger than the current state of the art. The platform will identify and add compatible computing resources from the computing marketplace to the existing cluster of training nodes, and distribute the ML model for unlimited computations. This process unfolds dynamically and automatically, culminating in decentralized supercomputers which facilitate AI success.

ROBIN is the first hyper-converged Kubernetes platform in the industry for big data, databases and AI/ML. The platform offers a self-service App store experience to deploy any application anywhere. It runs on-premises in your private cloud or in public-cloud environments (AWS, Azure and GCP). Hyper-converged Kubernetes combines containerized storage and networking with compute (Kubernetes) and the application management layer to create a single system. Our approach extends Kubernetes to data-intensive applications like Hortonworks, Cloudera and Elastic stack, RDBMSs, NoSQL database, and AI/ML. Facilitates faster and easier roll-out of important Enterprise IT and LoB initiatives such as containerization and cloud-migration, cost consolidation, productivity improvement, and cost-consolidation. This solution addresses the fundamental problems of managing big data and databases in Kubernetes.

The platform is easy to use and quick to implement machine learning and computer vision workflows. Sense makes it easy to create and deploy AI IoT solutions on any cloud, edge or on-premise. Learn how Sense makes it easy for AI/ML teams to create and deploy AI IoT solutions to any cloud, the edge or on-premise. It is powerful enough for ML engineers but simple enough for subject matter experts. Sense Data Annotation maximizes the success of your machine-learning models by making it the easiest and fastest way to label image and video data for high-quality training datasets. The Sense platform provides one-touch labeling integration to enable continuous machine learning at edge for simplified management.

Refract is an enterprise AI platform. It brings together the best AI templates and frameworks to prepare, train, and deploy Machine Learning (ML), models. Users can experience a seamless, personalized "build-to run" transition in their AI workflows. It can reduce up to 70% of the work for users by speeding data science, AI and ML lifecycles through no-code automated features. This significantly reduces time and effort on pre- and post-model development steps. data provisioning & prep, model deployment, governance, monitoring, etc). Refract allows deep integration with Continuous Integration/Continuous Deployment (CD), allowing for touchless ML endpoint deployment in any cloud, multicloud, on-premises or hybrid environment. It simplifies model management and provides a single-stop shop for batch, real-time, and near-real-time deployments of your ML apps. Additionally, it facilitates pre-built integrations of ML apps with business processes.

Easy management, deployment and monitoring of machine learning models for supercharging MLOps. Available for all organizations on the best AI platform. You can use navio for various machine learning operations across your entire artificial intelligence landscape. Machine learning can be integrated into your business workflow to make a tangible, measurable impact on your business. navio offers various Machine Learning Operations (MLOps), which can be used to support you from the initial model development phase to the production run of your model. Automatically create REST endspoints and keep track the clients or machines that interact with your model. To get the best results, you should focus on exploring and training your models. You can also stop wasting time and resources setting up infrastructure. Let navio manage all aspects of product ionization so you can go live quickly with your machine-learning models.

SparkAI brings together people and technology to solve AI edge cases, false negatives, and other exceptions that are encountered in production. This allows you to launch and scale automation products faster than ever before.

Almato's high-security, out-of-the box AI services make you smarter. We adapt to your business model, on-premises, public cloud, or private cloud. These are the foundation for innovative extensions of business apps, upskilling bots or analytics. Digitize with artificial Intelligence from Almato: Machine Learning for Cognitive Automation and intelligent apps. The Almato intelligent scanner can be integrated quickly and easily into any app. It is specifically designed for international retail companies. The intelligent scanner is used to link the digital and analog worlds. Customers will find the analog shopping experience more efficient with digital components and intuitive use. Diverse but custom AI and ML solutions can lead to significant cost savings and improved customer experience.

Data Driven Digital Twin toolset that allows you to Visualize, Monitor, Optimize and Optimize your operation in Real Time using machine learning and artificial intelligence. Control your SKU, Resource, Automation, Equipment, and Other Costs. Digital Twin Shadow Technology - Real-Time Visibility & Traceability Digital Twin Studio®, Open Architecture allows it to interact with a variety of RTLS/data systems - RFID BarCode, GPS PLC, WMS EMR ERP, MRP, and RTLS systems. Digital Twin with AI/Machine Learning - Predictive Analytics, Dynamic Scheduling Predictive analytics in real-time deliver insights via notifications when issues occur before they happen with state-of-the art Digital Twin Technology Digital Twin Replay – View past events and set up active alerts. Digital Twin Studio allows you to replay and animate past events in VR, 3D, and 2D. Digital Twin Live Real-Time Data - Dynamic Dashboards. A drag and drop dashboard builder that allows for unlimited layout possibilities.

Profet AI’s No-Code AutoML Platform, which is end-to-end and can be used by manufacturers as their Virtual Data Scientist, provides a complete solution for data analysis. It allows IT/domain experts to quickly build high-quality predictive models and deploy Industrial AI apps to solve their daily production and digitalization challenges. Profet AI AutoML Platform has been widely adopted by leading companies in the world across industries. These include leading EMS, Semi OSAT, PCB design houses, IC design houses, display panel and material solution providers. We use the successful cases of industry leading companies to benefit our customers and implement AI within a week.