Best Machine Learning Software - Page 25

How Many Machine Learning Software Products Does G2 Track?

Total Products under this Category: 475

Category Stats (Aug 2026)

  • Average Rating: 4.33/5 (↓0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Fireworks AI (+7.87%) - Among all products in this category, Fireworks AI recorded the largest rating increase compared to last month

Last updated: August 06, 2026

How Does G2 Rank Machine Learning Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 16,200+ Authentic Reviews
  • 475+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Machine Learning Software

G2 Grid® for Machine Learning Software plotting products by satisfaction and market presence

Highlighted products: Gemini Enterprise Agent Platform, SAS Viya, IBM watsonx.ai, Azure OpenAI Service, Amazon Personalize, Google Cloud TPU, Alteryx, and Dataiku.

Underlying data: [Grid® JSON](https://www.g2.com/categories/machine-learning/grids.json?focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=sas-sas-viya&focus%5B%5D=ibm-watsonx-ai&focus%5B%5D=azure-openai-service&focus%5B%5D=amazon-personalize&focus%5B%5D=google-cloud-tpu&focus%5B%5D=alteryx&focus%5B%5D=dataiku)

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SAS Viya

SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control.

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Monte

Monte is a project forecasting tool designed to accurately predict project completion dates using evidence-based scheduling. By analyzing historical project data, Monte runs extensive simulations to generate easy-to-read charts that identify probable end dates with associated confidence levels. This approach eliminates the need for guesswork and traditional estimation methods, providing a more reliable and data-driven timeline for project completion. Key Features and Functionality: - Evidence-Based Scheduling: Utilizes historical project data to run one million simulations, producing forecasts grounded in real-world performance. - Confidence Level Charts: Generates visual representations of probable project end dates, each accompanied by a confidence percentage, allowing teams to plan with greater certainty. - Adaptability to Changes: Quickly recalculates forecasts when project parameters change, such as the addition of new tasks, ensuring up-to-date and accurate timelines. - Automated Data Integration: Connects seamlessly with project management tools like Jira and GitHub to automatically extract the latest project data, streamlining the forecasting process. Primary Value and Problem Solved: Monte addresses the common challenge of accurately predicting project completion dates, a task often hindered by human estimation errors and unforeseen variables. By leveraging historical data and advanced simulations, Monte provides project managers and teams with reliable forecasts, enhancing planning accuracy and confidence. This data-driven approach reduces reliance on subjective estimates, mitigates risks associated with project delays, and facilitates more informed decision-making throughout the project lifecycle.

Who Is the Company Behind Monte?

Mool

Mool is an AI-powered platform designed to streamline and enhance financial management for individuals and businesses. By leveraging advanced algorithms and machine learning, Mool offers personalized financial insights, automates routine tasks, and provides real-time analytics to help users make informed decisions. Its intuitive interface ensures accessibility for users of all financial backgrounds, aiming to simplify complex financial processes and promote better financial health. Key Features and Functionality: - Personalized Financial Insights: Analyzes user data to offer tailored recommendations and strategies for financial growth. - Automation of Routine Tasks: Automates tasks such as budgeting, expense tracking, and bill payments to save time and reduce errors. - Real-Time Analytics: Provides up-to-date financial reports and dashboards for immediate visibility into financial status. - User-Friendly Interface: Designed with simplicity in mind, making financial management accessible to users with varying levels of expertise. Primary Value and User Solutions: Mool addresses the common challenges of financial management by offering a comprehensive, AI-driven solution that simplifies complex processes. It empowers users to take control of their finances through automation and personalized insights, leading to improved financial decision-making and overall financial well-being.

Who Is the Company Behind Mool?

  • Seller: mool.ai
  • Year Founded: 2024
  • HQ Location: Gurugram, IN
  • LinkedIn® Page: www.linkedin.com
    29 employees on LinkedIn®

Morphlin

Morphlin is an advanced trading platform designed to empower traders by providing sophisticated tools and analytics to enhance their trading strategies. It offers a comprehensive suite of features that cater to both novice and experienced traders, aiming to streamline the trading process and improve decision-making. Key Features and Functionality: - Automated Trading: Morphlin enables users to set up and execute automated trading strategies, reducing the need for manual intervention and allowing for more efficient trading operations. - Real-Time Analytics: The platform provides real-time data analysis, offering insights into market trends and helping traders make informed decisions promptly. - Customizable Dashboards: Users can personalize their trading dashboards to monitor preferred assets and metrics, ensuring a tailored trading experience. - Risk Management Tools: Morphlin includes features that assist in managing and mitigating trading risks, such as stop-loss orders and risk assessment metrics. - Multi-Asset Support: The platform supports trading across various asset classes, including stocks, cryptocurrencies, and forex, providing versatility to traders. Primary Value and User Solutions: Morphlin addresses the common challenges traders face by offering a platform that combines automation, real-time analytics, and risk management tools. By automating trading strategies, it minimizes the emotional biases and time constraints associated with manual trading. The real-time analytics equip users with up-to-date market information, enhancing their ability to make informed decisions. Additionally, the customizable dashboards and multi-asset support ensure that traders have a flexible and comprehensive toolset to meet their diverse trading needs.

Who Is the Company Behind Morphlin?

MouseCat

MouseCat is an AI-powered fraud investigation platform designed to emulate the analytical capabilities of top human analysts. It automates the research process into users and businesses, reasons across disparate data sources, and provides complete audit logs with explainable decisions. By transforming investigative findings into actionable features, rules, and improved decision-making processes, MouseCat enhances the efficiency and effectiveness of risk teams. Key Features and Functionality: - Automated Research: Conducts in-depth investigations into users and businesses, automating the research process to scale manual fraud investigations. - Data Integration: Connects to platforms like Databricks and Snowflake, working seamlessly with in-house rule engines and feature stores to understand existing risk signals. - Feature Engineering: Extracts intelligent features from unstructured data, enabling the automatic exploration and backtesting of new features and rules. - Synthetic Label Generation: Creates synthetic labels to identify fraudulent activities before ground-truth labels are available, aiding in proactive fraud detection. - Explainable Decisions: Provides complete audit logs and deterministic back-tests, ensuring transparency and accountability in decision-making processes. Primary Value and Problem Solved: MouseCat addresses the limitations of traditional AI tools that often stop at summarizing alerts and providing recommendations. By closing the loop from investigation to production rules, models, and decisions, MouseCat enables risk teams to take end-to-end actions. It automates manual fraud investigations, reduces the need for manual reviews, and accelerates fraud mitigation efforts. This comprehensive approach allows organizations to proactively discover and address anomalies, generate high-precision rules, and build better models, ultimately enhancing their fraud detection and prevention capabilities.

Who Is the Company Behind MouseCat?

Mymapleadvisor

MAPLE is an AI-powered financial advisor designed to provide personalized investment advice and wealth management solutions. Developed by financial experts, it offers tailored recommendations to help users achieve their financial goals. MAPLE's proprietary AI engine continuously analyzes portfolios, delivering timely insights and critical alerts to optimize wealth. Key Features and Functionality: - Supercharged Personal Advice: Offers specific, personalized financial recommendations to optimize portfolios. - AI Wealth Management: Utilizes advanced tools to assist in building and managing wealth, aligning with individual goals. - Continuous Analysis: Provides ongoing monitoring and optimization of financial assets, ensuring alignment with objectives. - MAPLE X-Ray: Delivers comprehensive financial checkups, including exposure review, risk assessment, cash optimization, debt analysis, and retirement readiness. - Privacy and Security: Ensures data protection through multifactor authentication, point-to-point encryption, and adherence to SOC2 compliance standards. Primary Value and User Solutions: MAPLE democratizes access to high-quality financial advice, traditionally available only to affluent individuals. By leveraging AI, it provides personalized, actionable insights, enabling users to make informed decisions and achieve financial goals. Its commitment to privacy and security ensures user data remains confidential, fostering trust and reliability.

Who Is the Company Behind Mymapleadvisor?

  • Seller: Maple
  • Year Founded: 2022
  • HQ Location: New York Metropolitan Area, US
  • LinkedIn® Page: www.linkedin.com
    26 employees on LinkedIn®

Mythic AI

Mythic AI specializes in delivering power-efficient, high-performance AI inference solutions through its innovative Analog Matrix Processor (AMP) technology. By integrating analog compute-in-memory architecture, Mythic's products offer substantial improvements in energy efficiency and computational power, making them ideal for edge AI applications across various industries. Key Features and Functionality: - Analog Compute-in-Memory Architecture: Combines storage and processing within the same unit, eliminating memory bottlenecks and enhancing performance. - Scalable Performance: The M1076 AMP delivers up to 25 TOPS in a single chip, with configurations scaling up to 400 TOPS using multiple chips. - Low Power Consumption: Operates within a 3W power envelope per chip, significantly reducing energy usage compared to traditional digital processors. - Compact Form Factors: Available in standalone processors and M.2 card formats, facilitating easy integration into various edge devices. - Broad Framework Support: Compatible with standard AI frameworks like PyTorch, TensorFlow, and Caffe, streamlining the development process. Primary Value and Problem Solved: Mythic AI addresses the critical challenges of deploying AI at the edge by providing solutions that combine high computational performance with low power consumption and compact design. This enables the implementation of advanced AI capabilities in devices constrained by size, power, and thermal limitations, such as smart home appliances, industrial machines, drones, and AR/VR systems. By overcoming these barriers, Mythic AI empowers developers to create more efficient, responsive, and intelligent edge applications.

Who Is the Company Behind Mythic AI?

Nearlearn

NearLearn is a premier technical training institute based in Bangalore, specializing in cutting-edge technologies such as Machine Learning, Artificial Intelligence, Data Science, Blockchain, and Deep Learning. With a mission to bridge the gap between academic learning and industry requirements, NearLearn offers comprehensive courses designed by industry veterans to equip learners with practical skills and theoretical knowledge. Their curriculum seamlessly blends foundational concepts with hands-on applications, ensuring that students are well-prepared to tackle real-world challenges. Flexible learning options, including classroom training, online sessions, corporate training, and self-paced learning, cater to diverse learning preferences and schedules. Key Features and Functionality: - Expert-Designed Curriculum: Courses are crafted by seasoned professionals to align with current industry standards and demands. - Hands-On Learning: Emphasis on practical experience through interactive sessions, real-world case studies, and live projects. - Flexible Training Formats: Offers classroom, online, corporate, and self-paced learning options to suit various needs. - Comprehensive Support: Provides 24/7 access to learning materials, unlimited doubt-clarification sessions, and ongoing mentorship. - Career Assistance: Includes resume building, interview scheduling, and connections with industry partners to facilitate job placements. Primary Value and Solutions Provided: NearLearn addresses the critical need for industry-relevant technical education by offering courses that are both comprehensive and practical. By focusing on in-demand technologies and providing flexible learning options, NearLearn empowers individuals to advance their careers and meet the evolving demands of the tech industry. Their hands-on approach ensures that learners not only understand theoretical concepts but can also apply them effectively in real-world scenarios, thereby enhancing employability and professional growth.

Who Is the Company Behind Nearlearn?

  • Seller: NearLearn
  • Year Founded: 2016
  • HQ Location: Bangalore, IN
  • LinkedIn® Page: www.linkedin.com
    26 employees on LinkedIn®

Nebulock

Nebulock operates as an AI-driven threat hunting platform.

Who Is the Company Behind Nebulock?

Neosearch

Neosearch is an advanced search solution designed to enhance the efficiency and accuracy of information retrieval for businesses and organizations. By leveraging cutting-edge algorithms and machine learning techniques, Neosearch delivers fast, relevant, and personalized search results, enabling users to access the information they need with minimal effort. Key Features and Functionality: - Intelligent Search Algorithms: Utilizes sophisticated algorithms to understand user intent and deliver precise search results. - Machine Learning Integration: Continuously improves search accuracy by learning from user interactions and feedback. - Customizable Search Experience: Offers flexible configuration options to tailor the search experience to specific business needs. - Scalable Architecture: Designed to handle large volumes of data and user queries without compromising performance. - Multi-Platform Support: Compatible with various platforms and devices, ensuring a seamless search experience across different environments. Primary Value and User Solutions: Neosearch addresses the common challenge of information overload by providing a streamlined and efficient search experience. It empowers users to quickly locate relevant data, thereby enhancing productivity and decision-making processes. For businesses, Neosearch improves customer satisfaction by delivering accurate and timely information, leading to increased engagement and loyalty. Additionally, its scalable and customizable nature ensures that it can adapt to the evolving needs of any organization, making it a valuable tool for managing and accessing information effectively.

Who Is the Company Behind Neosearch?

NeuroFinance

NeuroFinance is an AI-powered solution designed to automate and enhance financial management processes by integrating seamlessly with popular accounting platforms such as Zoho Books, QuickBooks, and Xero. By embedding advanced artificial intelligence into existing financial workflows, NeuroFinance streamlines routine tasks and provides actionable insights, enabling businesses to make informed financial decisions efficiently. Key Features and Functionality: - Automated Bookkeeping: NeuroFinance automates repetitive accounting tasks, including the categorization of bank transactions, matching invoices to purchase orders, and validating expense claims against company policies. Its AI-driven accuracy improves over time as it learns from business patterns and preferences. - Invoice Processing Pipeline: Utilizing Optical Character Recognition (OCR) technology, NeuroFinance captures data from incoming invoices and routes it to the appropriate accounting platform. It handles complex scenarios such as multi-currency invoices, partial payments, and credit notes without the need for manual intervention. - Financial Intelligence: Beyond automation, NeuroFinance analyzes financial data to provide insights like cash flow forecasts, expense trend analyses, vendor payment optimizations, and anomaly detection. This empowers finance teams to transition from reactive bookkeeping to proactive financial management. - Migration & Synchronization: During system migrations, NeuroFinance ensures accurate synchronization of financial data, including transaction histories and reporting configurations. It also supports ongoing multi-platform synchronization for businesses operating parallel accounting systems. Primary Value and User Benefits: NeuroFinance addresses the challenges of manual bookkeeping and financial analysis by automating error-prone tasks and providing real-time insights. This reduces the risk of human error, saves time, and enhances the accuracy of financial records. By integrating directly into existing accounting systems without requiring significant changes to current workflows, NeuroFinance offers a scalable solution that evolves with the business, ultimately leading to more informed financial decisions and improved operational efficiency.

Who Is the Company Behind NeuroFinance?

NextML

NextML is a specialized team of machine learning engineers dedicated to transforming innovative ideas into fully operational machine learning solutions. They collaborate closely with clients to develop and implement machine learning algorithms tailored to specific business needs, ensuring practical and effective applications. Key Features and Functionality: - Custom Machine Learning Projects: NextML has successfully executed diverse projects, including unsupervised segmentation of satellite images, damage detection on railroad infrastructure, text recognition in manufacturing settings, super-resolution and object removal in satellite imagery, risk and requirement detection in legal documents, and large-scale video search using advanced models. - Ready-to-Use Solutions: They offer pre-packaged solutions like DeepInspection, which enables businesses to scan extensive photo datasets to automatically detect damages on physical assets, streamlining maintenance and inspection processes. - Hands-On Approach: Emphasizing a practical and transparent methodology, NextML guides clients through the entire machine learning development process, from initial concept to final deployment, ensuring solutions are both effective and user-friendly. Primary Value and Problem Solving: NextML addresses complex challenges that traditional rule-based programming cannot efficiently solve, particularly those involving intricate data types such as text and images. By leveraging machine learning, they provide businesses across various industries with the tools to enhance operational efficiency, improve decision-making processes, and gain a competitive edge through data-driven insights. Their solutions are designed to be practical, focusing on delivering real value and fostering a deeper understanding of machine learning applications within client organizations.

Who Is the Company Behind NextML?

  • Seller: NextML
  • Year Founded: 2016
  • HQ Location: Stockholm, SE
  • LinkedIn® Page: www.linkedin.com
    6 employees on LinkedIn®

Noteworthy AI

Noteworthy AI offers an advanced asset inspection platform designed to enhance the efficiency and accuracy of infrastructure inspections. By integrating artificial intelligence and machine learning, the platform automates the detection and analysis of potential issues in critical assets, such as utility poles and power lines. This automation enables organizations to proactively address maintenance needs, thereby reducing operational costs and improving service reliability. Key Features and Functionality: - AI-Powered Detection: Utilizes machine learning algorithms to identify defects and anomalies in infrastructure components, ensuring precise and consistent assessments. - Automated Data Collection: Employs drones and other data acquisition tools to gather high-resolution imagery and sensor data, minimizing the need for manual inspections. - Comprehensive Reporting: Generates detailed reports with actionable insights, facilitating informed decision-making and prioritization of maintenance tasks. - Integration Capabilities: Seamlessly integrates with existing asset management systems, allowing for streamlined workflows and data synchronization. - Scalability: Designed to handle large-scale inspections, making it suitable for utilities and organizations managing extensive infrastructure networks. Primary Value and Problem Solved: Noteworthy AI addresses the challenges associated with traditional infrastructure inspections, which are often labor-intensive, time-consuming, and prone to human error. By automating the inspection process and leveraging AI for data analysis, the platform enhances the accuracy and efficiency of asset assessments. This proactive approach enables organizations to identify and address potential issues before they escalate, leading to improved safety, reduced maintenance costs, and enhanced operational reliability.

Who Is the Company Behind Noteworthy AI?

Nuclearn

Nuclearn is an AI solutions company built by nuclear professionals, for nuclear professionals. Founded in 2021 by industry veterans Brad Fox and Jerrold Vincent, the company develops secure, on-premise, Part 810–compliant AI platforms designed specifically for the nuclear sector. Utilities face documentation-heavy processes, complex compliance requirements, and rising workforce challenges. Nuclearn’s flagship solutions—including AtomAssist, CAP AI, Engineering AI, and Observation AI—address these needs by reducing repetitive tasks, improving accuracy, and strengthening regulatory confidence. Each solution is trained on nuclear-specific data, purpose-built to integrate with existing systems such as Maximo and SAP, and equipped with features for traceability, auditability, and safety-conscious decision support. Headquartered in Phoenix, Arizona, Nuclearn already supports utilities across the U.S., Canada, and the U.K., with deployments live at dozens of reactors. By automating processes such as 50.59 applicability screenings, outage planning, corrective action trending, and document research, Nuclearn allows engineers and operators to spend less time on paperwork and more time solving problems that matter. As demand for clean energy grows, Nuclearn provides solutions that enable nuclear utilities to operate with greater efficiency and resilience while meeting the industry’s highest standards of compliance, safety, and trust. Learn more at www.nuclearn.ai.

Who Is the Company Behind Nuclearn?

  • Seller: Nuclearn
  • Year Founded: 2021
  • HQ Location: Phoenix, US
  • LinkedIn® Page: www.linkedin.com
    25 employees on LinkedIn®

nuli

From predictive analytics to natural language processing, our AI service empowers businesses to stay ahead in today's dynamic landscape. Experience efficiency, accuracy, and agility like never before with our intelligent solutions tailored to your unique needs.

Who Is the Company Behind nuli?

Nutrino Health

Nutrino Health is a personalized nutrition platform that leverages artificial intelligence and machine learning to provide tailored dietary recommendations. By analyzing individual health data, lifestyle habits, and food preferences, Nutrino Health delivers customized meal plans and nutritional insights to help users achieve their health and wellness goals. Key Features and Functionality: - Personalized Meal Plans: Generates customized meal suggestions based on user-specific health data and dietary preferences. - Food Logging: Allows users to track their daily food intake for better monitoring and adherence to nutritional goals. - Health Data Integration: Syncs with various health devices and apps to provide a comprehensive view of the user's health metrics. - Nutritional Insights: Offers detailed analysis and feedback on dietary habits to promote informed food choices. - AI-Powered Recommendations: Utilizes advanced algorithms to adapt recommendations as users' health data and goals evolve. Primary Value and User Solutions: Nutrino Health addresses the challenge of generic dietary advice by offering personalized nutrition guidance tailored to each individual's unique needs. This approach empowers users to make informed dietary decisions, leading to improved health outcomes, better management of chronic conditions, and enhanced overall well-being.

Who Is the Company Behind Nutrino Health?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026