Best Machine Learning Software - Page 69

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)

Scribble Data Enrich

Scribble Data's flagship product, the Enrich Intelligence platform, is a Generative AI and machine learning platform for organizations to solve a wide variety of advanced analytics use cases with low-code data products. With Enrich’s advanced analytics capabilities, businesses can go from raw, unstructured data to an outcome-oriented data product in a matter of minutes. Scribble’s proprietary applied AI engine, Hasper, is a full–stack large language model (LLM)-based engine for business leaders to rapidly build AI-powered data products. Hasper also works with clients' real-time data to generate recommendations and predictive insights without having to ask for them. Hasper sits atop Enrich to make it a full-stack LLM data products platform. Thus, enabling more sophisticated end-to-end workflows seamlessly using both structured and unstructured data, with conversational interfaces.

Who Is the Company Behind Scribble Data Enrich?

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
  • LinkedIn® Page: www.linkedin.com
    156 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?

AI can help you find the answers. G2 helps you trust them.

Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.

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Seebo

Seebo's cloud-based software combines tools for IoT Modeling, Simulation, Execution, and Behavior Analytics into pre-packaged business solutions that address new product innovation, product resilience, venue operational excellence, and data-driven services.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate Seebo?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Quality of Support: 6.7/10 (Category avg: 8.4/10)

Who Is the Company Behind Seebo?

  • Seller: Seebo
  • Year Founded: 2012
  • HQ Location: Tel Aviv-Yaffo, IL
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of Seebo?

SelieeAI

Neeblo is a software and AI technology company building SaaS products and intelligent digital solutions that help businesses and agencies automate workflows, build digital experiences, create content, and grow online.

Who Is the Company Behind SelieeAI?

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
  • 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% Small, 50% Medium

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?

Shapelets

The first state-of-the-art platform for time series analysis

Average Rating: 4.6/5.0

Total Reviews: 10

How Do G2 Users Rate Shapelets?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.7/10)
  • Ease of Use: 8.8/10 (Category avg: 8.5/10)
  • Quality of Support: 9.3/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Shapelets?

  • Seller: Shapelets
  • Year Founded: 2018
  • HQ Location: Málaga, Andalusia
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 40% Small, 30% Large

What Are Recent G2 Reviews of Shapelets?

What Are G2 Users Discussing About Shapelets?

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