Best Machine Learning Software - Page 78

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
  • 15,400+ 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 Grid® for Machine Learning Software

G2 Grid® 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: [Grid® 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)

Upsy Shopping Helper

Upsy is an AI shopping assistant designed for SME online stores. Powered by AI, Upsy helps increase the conversion rate, average order value, & automate customer service. Upsy works on any device and is specially designed to boost sales on mobile devices. Just like a salesperson in a store, Upsy acts as a shopping helper for your e-commerce store. It guides shoppers through their buying journey, helping them find the right products, offering AI product recommendations, promotions, and FAQs.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate Upsy Shopping Helper?

  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind Upsy Shopping Helper?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Upsy Shopping Helper?

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Util

Who Is the Company Behind Util?

Utpatti

Who Is the Company Behind Utpatti?

  • Seller: Utpatti
  • Year Founded: 2022
  • HQ Location: Berlin, DE
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

V7 Darwin

V7 Darwin is a specialized AI platform for creating high-quality training data and managing annotation workflows. It is engineered for teams building sophisticated computer vision models and solving complex, domain-specific challenges with AI. V7 Darwin provides a comprehensive suite of tools for data labeling, video annotation, and medical imaging annotation. - Create pixel-perfect image and video annotations with Auto-Annotate and SAM for semantic masks, instance segmentation, keypoints, and polygons. - Develop medical AI with tools for DICOM, NIfTI, and WSI annotation, featuring an interface with MPR, 3D rendering, precise crosshairs, windowing, and oblique views. - Accelerate video annotation by up to 10x with AI-assisted auto-tracking for objects across frames. - Manage long videos, multi-camera views, and nested annotation classes. - Design multi-stage review workflows with conditional logic, consensus, and task assignment for your data labeling pipeline. - Organize, filter, and manage large datasets with custom views and tags, enabling real-time team collaboration for annotators, reviewers, and ML engineers. - Scale your annotation projects with professional data labeling services, including certified annotators and experts in various domains (medical, video, LLMs, scientific). You can seamlessly integrate V7 Darwin with your existing tech stack and import/export annotations with ease. Get complete control over your models, tasks, and datasets through the open API, Darwin-py SDK, and CLI.

Average Rating: 4.7/5.0

Total Reviews: 55

How Do G2 Users Rate V7 Darwin?

  • Has the product been a good partner in doing business?: 9.9/10 (Category avg: 8.7/10)
  • Ease of Use: 9.5/10 (Category avg: 8.5/10)
  • Quality of Support: 9.6/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.4/10 (Category avg: 8.5/10)

Who Is the Company Behind V7 Darwin?

  • Seller: V7
  • Year Founded: 2018
  • HQ Location: London, England
  • LinkedIn® Page: www.linkedin.com
    105 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 55% Small, 35% Medium

What Do G2 Reviewers Say About V7 Darwin?

AI-generated summary from verified user reviews

Pros
  • Users admire the ease of use of V7 Darwin, finding it intuitive and efficient for managing HR tasks.
  • Users value the annotation efficiency of V7 Darwin, streamlining repetitive tasks and enhancing accuracy in processes.
  • Users praise the easy-to-use annotation tools of V7 Darwin, enhancing project efficiency and quality control.
  • Users commend the intuitive UI and comprehensive functionalities of V7 Darwin, enhancing HR management and efficiency.
  • Users appreciate the efficiency of V7 Darwin, which simplifies tasks and enhances productivity in HR management.
Cons
  • Users find the lack of features in V7 Darwin, such as file manipulation and intuitive navigation, disappointing.
  • Users desire missing features in V7 Darwin, such as polygon manipulation and improved export options for datasets.
  • Users find the limited features of V7 Darwin frustrating, particularly in annotations and dataset management capabilities.
  • Users experience annotation issues, including inability to retract submissions and lacking shortcuts for approval.
  • Users find the difficult navigation of V7 Darwin challenging, requiring time to adapt to its complex interface.

What Are Recent G2 Reviews of V7 Darwin?

What Are G2 Users Discussing About V7 Darwin?

ValkaAI

Who Is the Company Behind ValkaAI?

  • Seller: ValkaAI
  • Year Founded: 2025
  • HQ Location: Amsterdam, NL
  • LinkedIn® Page: www.linkedin.com
    39 employees on LinkedIn®

Value My Car

Value My Car is a UK-based service that offers free, AI-powered car valuations without requiring personal information such as an email address. By simply entering your vehicle's registration number and mileage, you can receive an accurate valuation in under 30 seconds. This user-friendly platform leverages advanced AI algorithms to analyze real-time market data, ensuring that you obtain a reliable estimate of your car's worth. Key Features and Functionality: - Quick Valuation Process: Obtain a free car valuation in under 30 seconds by entering your car’s registration number and mileage. - AI-Powered Analysis: Utilizes advanced AI technology to track numerous sales and listings daily, providing up-to-date and accurate valuations. - No Personal Information Required: Access your car's valuation without the need to input personal details like your email address, ensuring a seamless and private experience. - User-Friendly Interface: Designed for simplicity and speed, allowing users to navigate the valuation process effortlessly. Primary Value and User Benefits: Value My Car addresses the common challenges associated with determining a vehicle's market value by offering a fast, accurate, and confidential valuation service. By eliminating the need for personal information and leveraging real-time market data through AI technology, users can make informed decisions when selling or trading in their vehicles. This service empowers car owners with reliable information, reducing the uncertainty and time traditionally involved in the car valuation process.

Who Is the Company Behind Value My Car?

Vapa

VAPA is an AI-driven Amazon Pay-Per-Click (PPC) tool designed to automate and optimize advertising campaigns for sellers and vendors on Amazon. By leveraging machine learning, VAPA streamlines the creation and management of various ad types, including Sponsored Products, Sponsored Brands, Sponsored Display, and Sponsored TV. This comprehensive approach enables users to enhance their Amazon sales processes, improve product listings, and effectively expand their reach among Amazon shoppers, ultimately boosting overall sales performance. Key Features and Functionality: - Automated Campaign Management: VAPA automatically applies insights to create and manage advertising campaigns, reducing manual effort and increasing efficiency. - Comprehensive Ad Support: Supports a wide range of Amazon ad formats, including Sponsored Products, Sponsored Brands, Sponsored Display, and Sponsored TV, allowing for a diversified advertising strategy. - Global Marketplace Integration: Operates across all Amazon marketplaces, enabling users to manage campaigns on a global scale. - Advanced Bid Management: Utilizes smart bid management techniques that consider daily, weekly, and monthly seasonality to optimize ad spend. - Keyword Optimization: Employs keyword generation, optimization, and harvesting to enhance ad relevance and performance. - Targeting Capabilities: Offers automated ASIN, category, and audience targeting to reach the most relevant customer segments. Primary Value and User Solutions: VAPA addresses the complexities of managing Amazon advertising by providing a fully automated, AI-powered solution that simplifies campaign creation and optimization. By handling the intricacies of bid management, keyword optimization, and targeting, VAPA allows sellers and vendors to focus on strategic growth initiatives. The tool's ability to operate across multiple Amazon marketplaces ensures that users can efficiently scale their advertising efforts globally. Ultimately, VAPA empowers businesses to enhance their Amazon performance, achieve higher returns on ad spend, and drive significant increases in sales revenue.

Who Is the Company Behind Vapa?

  • Seller: vapa.ai
  • Year Founded: 2021
  • HQ Location: Köln, DE
  • LinkedIn® Page: www.linkedin.com
    3 employees on LinkedIn®

VendorSense IQ Suite

VendorSense IQ Suite is an AI-powered platform designed to assist vendors and manufacturers in developing market-ready products and optimizing dealer networks. By leveraging proprietary AI-driven insights, it enables businesses to predict demand, prioritize dealers, and optimize product launches, thereby transforming every decision into a measurable growth advantage. Key Features and Functionality: - ShopLab AI: This tool helps product teams develop top-performing products by translating real shopper trends into virtual product concepts. It identifies attributes consumers desire, allowing for the design of products with a higher chance of success. Concepts can be tested across channels to determine what resonates, ensuring investment in ideas backed by real demand. - ShopLaunch AI: This feature maximizes sales for new and existing products by providing market insights and tools to power successful product launches and optimize inventory. It helps manufacturers understand where demand is emerging or fading and how products are performing across markets and dealers, enabling teams to reallocate inventory, refine launch strategies, and scale intelligently. - ShopLink AI: Scheduled for release in Summer 2026, this tool aims to systematically maximize gross profit dollars by locating, connecting, and scaling retail networks. It transforms the way vendors test and select dealers, turning fragmented data into focused intelligence that reveals the strongest partners and biggest opportunities. Primary Value and Solutions Provided: VendorSense IQ Suite addresses the challenges vendors and manufacturers face when making critical decisions with incomplete or disconnected data. Traditional approaches often rely on manual effort or guesswork, leading to choices that can negatively impact the bottom line, derail growth, weaken partnerships, and erode trust. By providing predictive AI intelligence, VendorSense IQ Suite brings automation, precision, and predictability to product development and dealer selection. This results in better decisions, stronger partnerships, and improved business outcomes.

Who Is the Company Behind VendorSense IQ Suite?

VERDIS Production Planning

VERDIS is an evolutionary supply chain decision-making platform enabled by Artificial Intelligence, Machine Learning & Big Data technologies, that helps enterprises move towards agile supply chains while catering to the uncertainties in supply, demand, and the ecosystem.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate VERDIS Production Planning?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.7/10)
  • Ease of Use: 6.7/10 (Category avg: 8.5/10)
  • Quality of Support: 5.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 3.3/10 (Category avg: 8.5/10)

Who Is the Company Behind VERDIS Production Planning?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of VERDIS Production Planning?

Verge Genomics

Verge Genomics is a clinical-stage biotechnology company revolutionizing drug discovery by integrating artificial intelligence (AI) with human genomic data. Their proprietary CONVERGE® platform utilizes extensive multi-omic datasets derived directly from human tissues to identify and validate therapeutic targets, particularly for neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) and Parkinson's disease. By focusing on human data from the outset, Verge aims to enhance the efficiency and success rates of developing novel treatments for complex conditions. Key Features and Functionality: - All-in-Human Data Platform: Verge has constructed one of the world's largest proprietary multi-omics databases sourced directly from human tissue, enabling a more accurate understanding of disease mechanisms. - CONVERGE® Machine Learning System: This AI-driven platform analyzes complex human genomic data to map disease pathways and identify potential drug targets with higher clinical translatability. - Integrated Target Validation: Combining computational predictions with experimental validation using patient-derived cells and advanced biological assays to establish causality and therapeutic potential. - Focus on Neurodegenerative Diseases: Dedicated to developing treatments for challenging conditions like ALS, Parkinson’s disease, and frontotemporal dementia with high unmet medical needs. - Collaborative Drug Development: Engages in strategic partnerships to advance promising targets into clinical trials, exemplified by a multi-year collaboration with Eli Lilly. Primary Value and Solutions: Verge Genomics addresses the critical challenge of high failure rates in traditional drug development by leveraging human-centric data and AI to improve the accuracy of target identification and validation. This approach reduces reliance on less predictive animal models, accelerates the drug discovery process, and increases the likelihood of clinical success. By focusing on diseases with significant unmet needs, Verge aims to deliver effective therapies more efficiently, ultimately improving patient outcomes in complex neurodegenerative conditions.

Who Is the Company Behind Verge Genomics?

  • Seller: Verge Genomics
  • Year Founded: 2015
  • HQ Location: South San Francisco, US
  • LinkedIn® Page: linkedin.com
    17,158 employees on LinkedIn®
Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026