Best Machine Learning Software - Page 55

How Many Machine Learning Software Products Does G2 Track?

Total Products under this Category: 958

Category Stats (Sep 2026)

  • Average Rating: 4.33/5 (↓0.01 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Fireworks AI (+6.25%) - Among all products in this category, Fireworks AI recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Machine Learning Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 14,000+ Authentic Reviews
  • 958+ 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, Alteryx, Amazon Personalize, Google Cloud TPU, 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=alteryx&focus%5B%5D=amazon-personalize&focus%5B%5D=google-cloud-tpu&focus%5B%5D=dataiku)

ScanTech

ScanTech specializes in developing screening and threat-detecting technology products based on artificial intelligence and machine learning.

Who Is the Company Behind ScanTech?

SCIENOPS Drug Develop AI

SCIENOPS Drug Develop AI is an advanced platform designed to revolutionize the drug development process by integrating artificial intelligence (AI) into clinical trials and regulatory workflows. By leveraging AI-driven solutions, SCIENOPS aims to accelerate patient recruitment, enhance protocol adherence, and reduce the overall costs and time associated with bringing new therapies to market. Key Features and Functionality: - AI in Clinical Trials: Utilizes Bayesian adaptive trials, AI-powered patient matching, and real-world evidence (RWE) to optimize trial design and execution. - AI-Powered Document Intelligence: Extracts and synthesizes data from regulatory submissions, feasibility studies, and adverse event reports to streamline documentation processes. - Federated Compliance Tracking: Maintains audit trails, monitors compliance risks, and ensures inspection readiness through AI-driven monitoring systems. - Retrieval-Augmented Generation (RAG) for Decision-Making: Synthesizes trial insights to facilitate risk-based monitoring and adaptive trial adjustments. - AI-Driven Enrollment & Trial Optimization: Automates patient-trial matching using electronic health records (EHRs), ICD-10 codes, and prescription data; employs predictive analytics for faster patient selection; and ensures diverse and representative trial populations through machine learning. Primary Value and Solutions Provided: SCIENOPS Drug Develop AI addresses the inherent challenges in clinical trials, such as high costs, lengthy timelines, and regulatory complexities. By automating and optimizing various aspects of the trial process, the platform enhances efficiency, reduces errors, and accelerates the development of new drugs. This leads to faster approvals, minimized regulatory bottlenecks, and ultimately, quicker delivery of effective therapies to patients in need.

Who Is the Company Behind SCIENOPS Drug Develop AI?

Scout

Who Is the Company Behind Scout?

  • Seller: Scout
  • Year Founded: 2022
  • HQ Location: Davis, US
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®

Sedai

Sedai goes beyond recommendations. Our platform takes action to autonomously manage and optimize your cloud resources, without manual intervention. It analyzes your production environment to find cost and reliability optimization opportunities in real time — learning from behavior patterns and adapting to new releases. Under the hood, Sedai uses deep reinforcement learning to predict the impact of potential optimizations, enabling the platform to take these actions safely. Sedai's unique approach makes it the only way way to manage and optimize the cloud at scale. Unlike conventional automation, Sedai doesn't follow fixed rules and scripts. Instead, it acts like an experienced SRE: incrementally adjusting the configuration of your resources until the exact point where performance or availability would be impacted. The result? Sedai has executed more than 25 million autonomous actions in production — with 0 incidents. Ready to save 30–50% on your cloud costs? Visit sedai.io to speak with our cloud optimization experts.

Average Rating: 4.5/5.0

Total Reviews: 4

How Do G2 Users Rate Sedai?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.7/10)
  • Ease of Use: 7.9/10 (Category avg: 8.5/10)
  • Quality of Support: 7.5/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Sedai?

  • Seller: Sedai
  • Company Website:
  • Year Founded: 2018
  • HQ Location: Pleasanton, California, United States
  • Twitter: @sedai_io
  • LinkedIn® Page: www.linkedin.com
    121 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of Sedai?

What Are G2 Users Discussing About Sedai?

Sensa

Sensa is an advanced anti-money laundering (AML) platform developed by Ayasdi, designed to enhance financial institutions' ability to detect and prevent illicit activities. By leveraging cutting-edge machine learning and topological data analysis, Sensa offers a comprehensive solution that addresses the complexities of modern financial crimes. Key Features and Functionality: - Advanced Machine Learning Algorithms: Utilizes sophisticated models to identify complex patterns and anomalies indicative of fraudulent activities. - Topological Data Analysis: Applies unique analytical techniques to uncover hidden relationships within vast datasets, enhancing detection capabilities. - Automated Alert Prioritization: Streamlines the investigation process by ranking alerts based on risk, allowing for efficient resource allocation. - Regulatory Compliance Support: Ensures adherence to evolving AML regulations by providing comprehensive reporting and audit trails. - Scalable Architecture: Designed to handle large volumes of data, making it suitable for institutions of varying sizes. Primary Value and Problem Solved: Sensa addresses the critical challenge of detecting and preventing financial crimes in an increasingly complex and data-rich environment. Traditional AML systems often generate high volumes of false positives, leading to inefficiencies and missed threats. By integrating advanced analytics and machine learning, Sensa enhances the accuracy of threat detection, reduces false positives, and improves operational efficiency. This empowers financial institutions to proactively combat money laundering activities, ensure regulatory compliance, and protect their reputation and assets.

Who Is the Company Behind Sensa?

  • Seller: SymphonyAI
  • Year Founded: 2017
  • HQ Location: Palo Alto, California
  • Twitter: @SymphonySummit
    470 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,087 employees on LinkedIn®

Senseprofile

SenseProfile is an advanced analytics platform designed to provide businesses with deep insights into customer behavior and preferences. By leveraging cutting-edge data analysis techniques, SenseProfile enables organizations to make informed decisions, enhance customer engagement, and drive growth. Key Features and Functionality: - Comprehensive Data Integration: Aggregates data from multiple sources to create a unified customer profile. - Advanced Analytics: Utilizes machine learning algorithms to identify patterns and trends in customer behavior. - Real-Time Reporting: Offers up-to-date dashboards and reports for timely decision-making. - Customizable Alerts: Notifies users of significant changes or anomalies in customer data. - User-Friendly Interface: Provides an intuitive platform accessible to users of varying technical expertise. Primary Value and Solutions Provided: SenseProfile addresses the challenge of understanding complex customer data by offering a streamlined solution that transforms raw information into actionable insights. This empowers businesses to tailor their strategies, improve customer satisfaction, and achieve a competitive edge in the market.

Who Is the Company Behind Senseprofile?

Seqana

Who Is the Company Behind Seqana?

  • Seller: Seqana
  • Year Founded: 2020
  • HQ Location: Berlin, DE
  • LinkedIn® Page: www.linkedin.com
    26 employees on LinkedIn®

Sequen

Who Is the Company Behind Sequen?

Shakudo

Shakudo ensures compatibility across data tools allowing companies to build the best data infrastructure for their needs. With Shakudo you can mix and match your data tooling to create a more reliable, performant, and cost-effective stack than ever before.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate Shakudo?

  • 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 Shakudo?

  • Seller: Shakudo
  • Year Founded: 2021
  • HQ Location: Toronto, CA
  • LinkedIn® Page: ca.linkedin.com
    34 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Do G2 Reviewers Say About Shakudo?

AI-generated summary from verified user reviews

Pros
  • Users find Shakudo's connectivity exceptional, effectively integrating various data tools for optimal performance.
  • Users appreciate the seamless data access provided by Shakudo, maximizing the potential of their diverse data tools.
  • Users value Shakudo for its effective data integration, maximizing the utility of diverse data tools in their stack.
  • Users find Shakudo excellent for data management, successfully coordinating tools and optimizing their data stack.
  • Users appreciate Shakudo for its flexible data pipelining, effectively coordinating various tools in their data stack.
Cons
  • Users find limited data transformation capabilities in Shakudo, often needing additional tools for complex tasks.
  • Users find feature limitations in Shakudo, as it lacks robust data transformation capabilities for complex tasks.
  • Users find Shakudo's lack of data transformation features limits their ability to perform complex data manipulations efficiently.
  • Users note a significant lack of functionality in Shakudo, requiring additional tools for complex data manipulation tasks.
  • Users find a lack of data transformation tools in Shakudo, often relying on external tools for complex tasks.

What Are Recent G2 Reviews of Shakudo?

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