Best Machine Learning Software - Page 53

How Many Machine Learning Software Products Does G2 Track?

Total Products under this Category: 1,212

Category Stats (Nov 2026)

  • Average Rating: 4.34/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Modal Labs (+1.96%) - Among all products in this category, Modal Labs recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Machine Learning Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 15,600+ Authentic Reviews
  • 1,212+ 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 GridĀ® for Machine Learning Software

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

Highlighted products: Gemini platform, SAS Viya, IBM watsonx.ai, Azure OpenAI Service, Google Cloud Recommendations AI, Alteryx, Amazon Personalize, and Dataiku.

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

Model Explorer

The Hailo Model Explorer is an interactive tool designed to assist users in navigating Hailo's extensive Model Zoo to identify and select the most suitable neural network (NN) models for their AI applications. It provides a streamlined interface that allows users to filter models based on specific criteria such as device compatibility, task type, frames per second (FPS), and accuracy, facilitating informed decision-making tailored to their project requirements.

Who Is the Company Behind Model Explorer?

  • Seller: Hailo
  • Year Founded: 2017
  • HQ Location: Tel Aviv, IL
  • LinkedInĀ® Page: www.linkedin.com
    244 employees on LinkedInĀ®

Modelshop

Modelshop is a platform that allows organizations to quickly create analytic applications.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate Modelshop?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind Modelshop?

  • Seller: Modelshop
  • Year Founded: 2015
  • HQ Location: Newark, US
  • LinkedInĀ® Page: www.linkedin.com
    6 employees on LinkedInĀ®

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of Modelshop?

Model Zoo

The Hailo Model Zoo is a comprehensive repository of pre-trained deep learning models designed to facilitate the development and deployment of AI applications on Hailo's hardware platforms. It offers a diverse collection of models, including both widely-used architectures and state-of-the-art designs, available in TensorFlow and ONNX formats. Each model is accompanied by a Hailo Executable Format (HEF) binary file, ensuring seamless integration with Hailo's toolchain and application suite.

Who Is the Company Behind Model Zoo?

  • Seller: Hailo
  • Year Founded: 2017
  • HQ Location: Tel Aviv, IL
  • LinkedInĀ® Page: www.linkedin.com
    244 employees on LinkedInĀ®

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Modzy

Modzy accelerates the deployment, integration, and governance of production-ready AI. With integrations for the leading data science and DevOps tools, teams count on Modzy to quickly and easily build AI-enabled applications in a standard, repeatable, and secure way. By leveraging Modzy as a central location for monitoring all AI across the enterprise or at the edge, leaders can establish governance and security while generating higher returns from AI: šŸš€ Get your AI initiatives to market faster by launching new models in minutes, not months šŸ’° Cut your AI cloud costs by right-sizing your AI hardware footprint šŸ›”ļø Protect your AI models from cyber threats and sophisticated adversarial attacks ā˜ļø Stop slow, expensive data transfers by running your AI workloads anywhere: In the cloud, at the data center, or at the edge Modzy was founded in 2019 with a clear purpose: Build a world where people and machines working together—outperform either working alone.​ Our company, based in Vienna, VA, serves fortune 500 customers in energy and utilities, telecom, manufacturing, life sciences, and the public sector.

Who Is the Company Behind Modzy?

Monetizer

Monetizer is a comprehensive platform designed to maximize revenue for publishers and advertisers by intelligently matching traffic with the most relevant offers. Utilizing advanced algorithms and real-time data analysis, Monetizer ensures optimal monetization of global traffic across various verticals and geographies. Key Features and Functionality: - Smart Link Technology: Automatically directs users to the highest-converting offers based on their profile and behavior. - Global Coverage: Supports monetization in over 150 countries, catering to a diverse audience. - Real-Time Reporting: Provides detailed analytics and insights to track performance and optimize strategies. - Multiple Vertical Support: Accommodates a wide range of industries, including finance, e-commerce, and entertainment. - User-Friendly Interface: Simplifies campaign management with an intuitive dashboard and easy-to-use tools. Primary Value and User Solutions: Monetizer addresses the challenge of effectively monetizing diverse and global web traffic. By leveraging its intelligent matching system, it ensures that publishers and advertisers can maximize their revenue potential without the need for extensive manual optimization. This streamlined approach saves time, increases profitability, and enhances user engagement by delivering relevant content to the right audience.

Who Is the Company Behind Monetizer?

  • Seller: Monetizer
  • Year Founded: 2014
  • HQ Location: Sheffield, GB
  • LinkedInĀ® Page: www.linkedin.com
    14 employees on LinkedInĀ®

Monolith AI

Monolith AI develops a cloud-based AI platform that combines engineering simulations within machine learning approaches.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Monolith AI?

  • Ease of Use: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Monolith AI?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Monolith AI?

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
  • LinkedInĀ® Page: www.linkedin.com
    29 employees on LinkedInĀ®

Moonoia

Who Is the Company Behind Moonoia?

  • Seller: Moonoia
  • Year Founded: 2019
  • HQ Location: Gosselies, BE
  • LinkedInĀ® Page: www.linkedin.com
    7 employees on LinkedInĀ®

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?

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