Best Machine Learning Software for Windows - Page 3
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Compare the Top Machine Learning Software for Windows as of December 2025 - Page 3
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1
MSM
Marval Software
Founded in 1989, Marval is a leading global provider of enterprise IT Service Management (ITSM) software. With over 30 years in the ITSM business, Marval offers unrivalled industry knowledge and expertise combined with innovative system design. Since launch, we continue to regularly add new product features, updates and functionality, including Machine Learning and Artificial Intelligence, to empower our customers on their ITSM journey. We are a trusted partner to both public and private sector organisations worldwide, enabling support teams to deliver outstanding service management and customer experiences to colleagues and consumers around the globe. -
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Systancia Workplace
Systancia
Systancia Workplace, formerly AppliDis Fusion, is an innovative virtualization solution that allows all applications and desktops to be made available using the most recent security, load balancing, ergonomic and Machine Learning technologies in order to guarantee the best experience for both user and administrator. A clear and intuitive administration console, print management integrated natively into the solution, the ability to manage multi-version MS Windows Server application server farms and a strong and reactive involvement of the publisher, not to mention the cost reduction induced by the change. Systancia Workplace BoxOnAir for a truly productive mobility without any security compromises. Systancia Workplace Cloud Extender to provide the flexibility of the cloud in the local datacenter with mixed application. -
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Vanillatech Labs
Vanillatech
We developed a neuro-bio inspired generic deep learning algorithm that works as simple as an intelligence test. It automatically detects and predicts patterns and allows you to build intelligent apps easily. Our software is easy to use because it offers a straightforward and well defined REST api which allows you to build intelligent apps from any environment. This way you can connect e.g. JavaScript applications, spreadsheets or even your online broker. Our service is free to use for development and testing purposes. Our community edition is open source licensed under SSPL. Vanillatech ML Workstation is the ready-to-use software which runs on your local machine. If you require adaptions or support please contact us for an individual offer. -
4
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. -
5
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. -
6
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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Sixgill Sense
Sixgill
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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SensiML Analytics Studio
SensiML
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. -
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Intellimize
Intellimize
With your marketing ideas and our machine learning, you can optimize your web site for every single visitor. Simultaneously test all of your most creative marketing ideas to constantly showcase the messaging, content, and experiences that performs best. This is way beyond A/B testing and old-school, rules-based personalization. This is the new standard for high-converting landing pages across your website. This is Continuous Conversion™—and it changes… everything. -
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TiMi
TIMi
With TIMi, companies can capitalize on their corporate data to develop new ideas and make critical business decisions faster and easier than ever before. The heart of TIMi’s Integrated Platform. TIMi’s ultimate real-time AUTO-ML engine. 3D VR segmentation and visualization. Unlimited self service business Intelligence. TIMi is several orders of magnitude faster than any other solution to do the 2 most important analytical tasks: the handling of datasets (data cleaning, feature engineering, creation of KPIs) and predictive modeling. TIMi is an “ethical solution”: no “lock-in” situation, just excellence. We guarantee you a work in all serenity and without unexpected extra costs. Thanks to an original & unique software infrastructure, TIMi is optimized to offer you the greatest flexibility for the exploration phase and the highest reliability during the production phase. TIMi is the ultimate “playground” that allows your analysts to test the craziest ideas! -
11
SHARK
SHARK
SHARK is a fast, modular, feature-rich open-source C++ machine learning library. It provides methods for linear and nonlinear optimization, kernel-based learning algorithms, neural networks, and various other machine learning techniques. It serves as a powerful toolbox for real-world applications as well as research. Shark depends on Boost and CMake. It is compatible with Windows, Solaris, MacOS X, and Linux. Shark is licensed under the permissive GNU Lesser General Public License. Shark provides an excellent trade-off between flexibility and ease-of-use on the one hand, and computational efficiency on the other. Shark offers numerous algorithms from various machine learning and computational intelligence domains in a way that they can be easily combined and extended. Shark comes with a lot of powerful algorithms that are to our best knowledge not implemented in any other library. -
12
Sama
Sama
We offer the highest quality SLA (>95%), even on the most complex workflows. Our team assists with anything from implementing a robust quality rubric to raising edge cases. As an ethical AI company, we have provided economic opportunities for over 52,000 people from underserved and marginalized communities. ML Assisted annotation created up to 3-4x efficiency improvement for a single class annotation. We quickly adapt to ramp-ups, focus shifts, and edge cases. ISO certified delivery centers, biometric authentication, and user authentication with 2FA ensure a secure work environment. Seamlessly re-prioritize tasks, provide quality feedback, and monitor models in production. We support data of all types. Get more with less. We combine machine learning and humans in the loop to filter data and select images relevant to your use case. Receive sample results based on your initial guidelines. We work with you to identify edge cases and recommend annotation best practices. -
13
Feast
Tecton
Make your offline data available for real-time predictions without having to build custom pipelines. Ensure data consistency between offline training and online inference, eliminating train-serve skew. Standardize data engineering workflows under one consistent framework. Teams use Feast as the foundation of their internal ML platforms. Feast doesn’t require the deployment and management of dedicated infrastructure. Instead, it reuses existing infrastructure and spins up new resources when needed. You are not looking for a managed solution and are willing to manage and maintain your own implementation. You have engineers that are able to support the implementation and management of Feast. You want to run pipelines that transform raw data into features in a separate system and integrate with it. You have unique requirements and want to build on top of an open source solution. -
14
Apache Mahout
Apache Software Foundation
Apache Mahout is a powerful, scalable, and versatile machine learning library designed for distributed data processing. It offers a comprehensive set of algorithms for various tasks, including classification, clustering, recommendation, and pattern mining. Built on top of the Apache Hadoop ecosystem, Mahout leverages MapReduce and Spark to enable data processing on large-scale datasets. Apache Mahout(TM) is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. Apache Spark is the recommended out-of-the-box distributed back-end or can be extended to other distributed backends. Matrix computations are a fundamental part of many scientific and engineering applications, including machine learning, computer vision, and data analysis. Apache Mahout is designed to handle large-scale data processing by leveraging the power of Hadoop and Spark. -
15
3LC
3LC
Light up the black box and pip install 3LC to gain the clarity you need to make meaningful changes to your models in moments. Remove the guesswork from your model training and iterate fast. Collect per-sample metrics and visualize them in your browser. Analyze your training and eliminate issues in your dataset. Model-guided, interactive data debugging and enhancements. Find important or inefficient samples. Understand what samples work and where your model struggles. Improve your model in different ways by weighting your data. Make sparse, non-destructive edits to individual samples or in a batch. Maintain a lineage of all changes and restore any previous revisions. Dive deeper than standard experiment trackers with per-sample per epoch metrics and data tracking. Aggregate metrics by sample features, rather than just epoch, to spot hidden trends. Tie each training run to a specific dataset revision for full reproducibility. -
16
MLBox
Axel ARONIO DE ROMBLAY
MLBox is a powerful Automated Machine Learning python library. It provides the following features fast reading and distributed data preprocessing/cleaning/formatting, highly robust feature selection and leak detection, accurate hyper-parameter optimization in high-dimensional space, state-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM), and prediction with models interpretation. MLBox main package contains 3 sub-packages: preprocessing, optimization and prediction. Each one of them are respectively aimed at reading and preprocessing data, testing or optimizing a wide range of learners and predicting the target on a test dataset. -
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H2O.ai
H2O.ai
H2O.ai is the open source leader in AI and machine learning with a mission to democratize AI for everyone. Our industry-leading enterprise-ready platforms are used by hundreds of thousands of data scientists in over 20,000 organizations globally. We empower every company to be an AI company in financial services, insurance, healthcare, telco, retail, pharmaceutical, and marketing and delivering real value and transforming businesses today. -
18
OpenText Magellan
OpenText
Machine Learning and Predictive Analytics Platform. Augment data-driven decision making and accelerate business with advanced artificial intelligence in a pre-built machine learning and big data analytics platform. OpenText Magellan uses AI technologies to provide predictive analytics in easy to consume and flexible data visualizations that maximize the value of business intelligence. Artificial intelligence software eliminates the need for manual big data processing by presenting valuable business insights in a way that is accessible and related to the most critical objectives of the organization. By augmenting business processes through a curated mix of capabilities, including predictive modeling, data discovery tools, data mining techniques, IoT data analytics and more, organizations can use their data to improve decision making based on real business intelligence and analytics. -
19
Digital Twin Studio
CreateASoft
Data Driven Digital Twin toolset to help you Visualize, Monitor, and Optimize your operation in Real-Time using machine learning and AI. Control your Cost of SKU, Resources, Automation, Equipment and more. Real-Time Visibility and Traceability - Digital Twin Shadow Technology. Digital Twin Studio® Open Architecture enables it to interact with a multitude of RTLS and data systems – RFID, BarCode, GPS, PLC, WMS, EMR, ERP, MRP, or RTLS systems Digital Twin with AI and Machine Learning - Predictive Analytics and Dynamic Scheduling Real-time predictive analytics deliver insights via notifications when issues are identified before they occur with state of the art Digital Twin Technology Digital Twin Replay - View Past Events and Setup Active Alerts. Digital Twin Studio can replay and animate all past events through 2D, 3D and VR. Digital Twin Live Real-Time Metrics - Dynamic Dashboards - Simple drag and drop dashboard builder with unlimited layout capabilities. -
20
KitOps
KitOps
KitOps is a packaging, versioning, and sharing system for AI/ML projects that uses open standards so it works with the AI/ML, development, and DevOps tools you are already using, and can be stored in your enterprise container registry. It's AI/ML platform engineering teams' preferred solution for securely packaging and versioning assets. KitOps creates a ModelKit for your AI/ML project which includes everything you need to reproduce it locally or deploy it into production. You can even selectively unpack a ModelKit so different team members can save time and storage space by only grabbing what they need for a task. Because ModelKits are immutable, signable, and live in your existing container registry they're easy for organizations to track, control, and audit.
