Best Machine Learning Software - Page 11

How Many Machine Learning Software Products Does G2 Track?

Total Products under this Category: 1,246

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
  • 17,600+ Authentic Reviews
  • 1,246+ 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 Google Cloud TPU.

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=google-cloud-tpu)

Cochl.Sense

Cochl.Sense, created by Cochl Inc., is an AI-powered software designed for sound recognition. Leveraging our cutting-edge technology, it effectively recognizes various sounds in real-time, delivering notifications upon detecting specific target sounds. Backed by a dataset of over 3 million audio clips and extensive real-world trials. Cochl.Sense maintains an impressively low false detection rate, focusing on identifying the precise sounds you require. A highlight of our service development lies in the establishment of a robust infrastructure and largely automated resources, spanning from dataset collection to post-processing and labeling pipelines. Cochl.Sense employs advanced audio processing and neural networks to enable computers to understand various sounds. Just input your audio data (files or streams) into Cochl.Sense, and it will classify the sound type. It's versatile for use on different devices and platforms like smart speakers, IP cameras and so on.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate Cochl.Sense?

  • 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 Cochl.Sense?

  • Seller: Cochl
  • Year Founded: 2017
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    26 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About Cochl.Sense?

AI-generated summary from verified user reviews

Pros
  • Users praise the accuracy of Cochl.Sense in recognizing all sounds, enhancing awareness of their environment.
  • Users praise the ease of use of Cochl.Sense, highlighting its intuitive interface and simple installation process.
  • Users love the easy setup of Cochl.Sense, making it simple to install and user-friendly right away.
  • Users praise the noise cancellation of Cochl.Sense, noting its accuracy in recognizing all types of sounds.
  • Users love the user-friendly interface of Cochl.Sense, appreciating its accuracy in recognizing various sounds effortlessly.
Cons
  • Users report occasional false alarms from noise confusion, mistaking car honks for fire alarms, impacting reliability.

What Are Recent G2 Reviews of Cochl.Sense?

CRFsuite

CRFsuite is a tool that allow implementation of Conditional Random Fields (CRFs) for labeling sequential data.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate CRFsuite?

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

Who Is the Company Behind CRFsuite?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of CRFsuite?

Datsy Suggest

Datsy brings you the power of AI to understand your customer preferences and provide personalized product discovery experience. Delight your customers with personalized engagement at every interaction point through Datsy Suggest, an AI powered personalization & recommendation engine. Humanize your digital experience, with real-time personalized product recommendations. Datsy suggest is delivered on pay-as-you-go subscription model, without any upfront charges and lengthy contracts. Datsy can be customized to suit your business needs with our open APIs. Seamless data flow integrations with your existing tech stack are enabled through our APIs, SDKs and SaaS Plug-ins

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Datsy Suggest?

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

Who Is the Company Behind Datsy Suggest?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Datsy Suggest?

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DiffSharp

DiffSharp is a functional automatic differentiation (AD) library that allows exact and efficient calculation of derivatives, by systematically invoking the chain rule of calculus at the elementary operator level during program execution.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate DiffSharp?

  • 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 DiffSharp?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of DiffSharp?

Disco Project

Disco is a lightweight, open-source framework for distributed computing based on the MapReduce paradigm it distributes and replicates data, and schedules jobs efficiently it includes the tools need to index billions of data points and query them in real-time.

Average Rating: 3.0/5.0

Total Reviews: 1

Who Is the Company Behind Disco Project?

  • Seller: Disco
  • Year Founded: 2020
  • HQ Location: Toronto, CA
  • LinkedIn® Page: www.linkedin.com
    26 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Large

What Are G2 Users Discussing About Disco Project?

DryMerge

DryMerge lets you automate workflows with plain English. You can describe repetitive or difficult tasks and create AI agents that connect to software tools and automate work in the background.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate DryMerge?

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

Who Is the Company Behind DryMerge?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of DryMerge?

DynaML

DynaML is a Scala environment for conducting research and education in Machine Learning that packaged with a library of classes for various predictive models and a Scala REPL where one can not only build custom models but also play around with data work-flows.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate DynaML?

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

Who Is the Company Behind DynaML?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of DynaML?

Encog Machine Learning Framework

Encog is an advanced machine learning framework that supports a variety of advanced algorithms, as well as support classes to normalize and process data, its training algoritms are multi-threaded and scale well to multicore hardware and can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train machine learning algorithms.

Average Rating: 3.0/5.0

Total Reviews: 1

How Do G2 Users Rate Encog Machine Learning Framework?

  • Ease of Use: 5.0/10 (Category avg: 8.5/10)
  • Quality of Support: 3.3/10 (Category avg: 8.4/10)
  • Ease of Admin: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Encog Machine Learning Framework?

Who Uses This Product?

  • Company Size: 100% Small

What Are G2 Users Discussing About Encog Machine Learning Framework?

Entropica Labs

At Entropica, we create the models, algorithms and software tools to make quantum computing useful

Average Rating: 3.0/5.0

Total Reviews: 1

How Do G2 Users Rate Entropica Labs?

  • Ease of Use: 1.7/10 (Category avg: 8.5/10)
  • Quality of Support: 5.0/10 (Category avg: 8.4/10)

Who Is the Company Behind Entropica Labs?

Who Uses This Product?

  • Company Size: 100% Small

ExamGrader.ai

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate ExamGrader.ai?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 10.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind ExamGrader.ai?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of ExamGrader.ai?

Fireflai

Fireflai® is a B2B SaaS Data platform that leverages proprietary Data Science, Machine Learning and Generative AI to transform product data operations. Fireflai® enables seamless ingestion, management and enrichment of complex catalogues and product master data - accelerating the onboarding, activation and continuous improvement of SKUs for Manufacturers, Distributors and Retailers. Fireflai can: - Ingest PIM/ERP extracts such as product and parts lists, taxonomies and lists of values - Enrich product lists with validated data, documents and images from unstructured supplier files, catalogues, metadata, even the web - Generate content such as descriptions, taglines, features & benefits, SEO tags - Cleanse, match and merge datasets to create a 'golden product dataset' - Classify and transform product data into required taxonomies for simple ERP/PIM import - Translate datasets into multiple languages

Average Rating: 4.5/5.0

Total Reviews: 5

How Do G2 Users Rate Fireflai?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.7/10)
  • Ease of Use: 9.2/10 (Category avg: 8.5/10)
  • Quality of Support: 10.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Fireflai?

  • Seller: Fireflai
  • Year Founded: 2023
  • HQ Location: Manchester , GB
  • LinkedIn® Page: www.linkedin.com
    14 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 60% Large, 20% Medium

What Do G2 Reviewers Say About Fireflai?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Fireflai, appreciating its intuitive design and efficient data processing capabilities.
  • Users appreciate the time-saving features of Fireflai, enabling quick data processing and efficient attribute collection.
  • Users commend Fireflai for its speedy performance in efficiently processing large data volumes and implementing changes rapidly.
  • Users commend the implementation ease of Fireflai, appreciating its quick setup and efficient handling of product attributes.
  • Users value the seamless automation capabilities of Fireflai, enabling quick delivery without integration issues.
Cons
  • Users report experiencing hallucination issues with Fireflai, necessitating double-checking results, particularly for images.
  • Users report inaccuracy issues, often needing to double-check results, particularly with image outputs from Fireflai.
  • Users experience inaccuracy issues with Fireflai, requiring double-checking of results, particularly for images.
  • Users note the occasional hallucinations in results, requiring them to double-check especially with image outputs.

What Are Recent G2 Reviews of Fireflai?

gooey.ai

Stand on the Shoulders of Every AI Giant. Discover, customize and deploy low-code AI recipes using the best of private and open source AI. Built for developers who code fast, teams that prove ROI and people that change the world.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate gooey.ai?

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

Who Is the Company Behind gooey.ai?

  • Seller: gooey.ai
  • Year Founded: 2022
  • HQ Location: Seattle, US
  • LinkedIn® Page: www.linkedin.com
    21 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of gooey.ai?

Helsing

Helsing is a new type of defence AI company. We believe that software, in particular artificial intelligence, will be the key to protecting our democracies.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate Helsing?

  • 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 Helsing?

  • Seller: Helsing
  • Year Founded: 2021
  • HQ Location: Munich, Bavaria, Germany
  • LinkedIn® Page: www.linkedin.com
    863 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Do G2 Reviewers Say About Helsing?

AI-generated summary from verified user reviews

Pros
  • Users value Helsing for its effective use of AI in protecting democratic governance and liberal values.

What Are Recent G2 Reviews of Helsing?

Integrate.ai Signals

Signals are rich, machine-learning-derived insights about consumers’ needs that are generated from real consumer behavior. They’re packaged to help people and machines make more accurate predictions that drive business outcomes and protect consumer and business privacy.

Average Rating: 2.5/5.0

Total Reviews: 1

How Do G2 Users Rate Integrate.ai Signals?

  • Ease of Use: 1.7/10 (Category avg: 8.5/10)
  • Quality of Support: 1.7/10 (Category avg: 8.4/10)

Who Is the Company Behind Integrate.ai Signals?

Who Uses This Product?

  • Company Size: 100% Small

JAICF

JAICF (Just AI Conversational Framework) is the world's first open-source Kotlin-based bot and voice assistant development framework that is free of charge even for commercial use. JAICF is a perfect solution for those familiar with Kotlin, Android, or mobile development – no need to learn new things, users can quickly dive into voice tech, and start creating even high-level solutions completely free.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate JAICF?

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

Who Is the Company Behind JAICF?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of JAICF?

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