# Best Machine Learning Software - Page 9

## How Many Machine Learning Software Products Does G2 Track?

**Total Products under this Category:** 475

### Category Stats (Aug 2026)

- **Average Rating:** 4.33/5 (↓0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Fireworks AI (+7.87%) - Among all products in this category, Fireworks AI recorded the largest rating increase compared to last month

_Last updated: August 06, 2026_

## How Does G2 Rank Machine Learning Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 16,200+ Authentic Reviews
- 475+ 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](https://www.g2.com/categories/machine-learning/grids.png?focus%5B%5D=21469&focus%5B%5D=1327283&focus%5B%5D=1308795&focus%5B%5D=1311098&focus%5B%5D=87432&focus%5B%5D=67046&focus%5B%5D=989&focus%5B%5D=7150)

Highlighted products: Gemini Enterprise Agent Platform, SAS Viya, IBM watsonx.ai, Azure OpenAI Service, Amazon Personalize, Google Cloud TPU, Alteryx, 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=amazon-personalize&focus%5B%5D=google-cloud-tpu&focus%5B%5D=alteryx&focus%5B%5D=dataiku)

**Sponsored**

### Gemini Enterprise Agent Platform

Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents and models. It's a single destination for technical teams to build agents that can transform enterprise applications and workflows into powerful agentic systems.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=684&secure%5Bchosen_at%5D=2026-08-06T22%3A01%3A31Z&secure%5Bdisplayable_resource_id%5D=684&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=684&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=21469&secure%5Bresource_id%5D=684&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fmachine-learning%3FhsCtaTracking%3De32910b2-e9c0-4be2-8a8c-2e113d8d2465%257C97b44770-b983-47e8-ac93-ba8d2705df20%26page%3D9&secure%5Btoken%5D=d3d9f078eee235c8809be243319cc99ecbeafebe812378fe808e35d61d3c5dbf&secure%5Burl%5D=https%3A%2F%2Fcloud.google.com%2Fproducts%2Fgemini-enterprise-agent-platform%3Futm_source%3DG2%26utm_medium%3Ddisplay%26utm_campaign%3DCloud-SS-DR-GCP-1713658-GCP-DR-NA-US-en-G2-Display-Banner-All-%2525epid%21-%2525ecid%21-geap%26utm_content%3D%257Bdevice%257D-%257Badgroupid%257D-%257Bnetwork%257D-%257Btargetid%257D-%257Bloc_physical_ms%257D-%257Bcampaignid%257D&secure%5Burl_type%5D=custom_url)

### [MachineLearning.jl](https://www.g2.com/products/machinelearning-jl/reviews)

MachineLearning is a package that represents the very beginnings of an attempt to consolidate common machine learning algorithms written in pure Julia and presenting a consistent API, it will be targeted towards the machine learning practitioner, working with a dataset that fits in memory on a single machine

**Average Rating:** 4.5/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate MachineLearning.jl?

- **Has the product been a good partner in doing business?:** 8.3/10 (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:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind MachineLearning.jl?

- **Seller:** [MachineLearning.jl](https://www.g2.com/sellers/machinelearning-jl)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Large, 50% Small

#### What Are Recent G2 Reviews of MachineLearning.jl?

**["We really like machine learning."](https://www.g2.com/survey_responses/machinelearning-jl-review-853657)**

**Rating:** 4.5/5.0 stars

_— Verified User in Primary/Secondary Education_

[Read full review](https://www.g2.com/survey_responses/machinelearning-jl-review-853657)

**["Try Machine Learning in Julia and you will be amazed..."](https://www.g2.com/survey_responses/machinelearning-jl-review-1696305)**

**Rating:** 4.5/5.0 stars

_— Rounak J._

[Read full review](https://www.g2.com/survey_responses/machinelearning-jl-review-1696305)

#### What Are G2 Users Discussing About MachineLearning.jl?

- [What is MachineLearning.jl used for?](https://www.g2.com/discussions/what-is-machinelearning-jl-used-for)

### [MLDB](https://www.g2.com/products/mldb/reviews)

MLDB is an open-source database designed for machine learning that can be install in any device and send commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs.

**Average Rating:** 2.5/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate MLDB?

- **Ease of Use:** 5.0/10 (Category avg: 8.5/10)
- **Quality of Support:** 6.7/10 (Category avg: 8.4/10)

#### Who Is the Company Behind MLDB?

- **Seller:** [Datacratic](https://www.g2.com/sellers/datacratic)
- **HQ Location:** Montreal, Canada
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

### [Mlxtend](https://www.g2.com/products/mlxtend/reviews)

Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks.

**Average Rating:** 3.8/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate Mlxtend?

- **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 8.7/10)
- **Ease of Use:** 7.5/10 (Category avg: 8.5/10)
- **Quality of Support:** 5.8/10 (Category avg: 8.4/10)
- **Ease of Admin:** 6.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Mlxtend?

- **Seller:** [Mlxtend](https://www.g2.com/sellers/mlxtend)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Small, 50% Large

#### What Are Recent G2 Reviews of Mlxtend?

**["An Extended Machine Learning Tool which contains tools others don't"](https://www.g2.com/survey_responses/mlxtend-review-3148526)**

**Rating:** 5.0/5.0 stars

_— Meliksah T._

[Read full review](https://www.g2.com/survey_responses/mlxtend-review-3148526)

### [myLang](https://www.g2.com/products/mylang/reviews)

MyLang Me version: Neural machine translation for a website or application via an API - Continuous machine learning; - Adding new languages; - Protection of personal information; - Working with HTML markup. The Me version includes 91 languages, including Chinese (Simplified), English, French, German, Italian, Japanese, Polish, Portuguese, Romanian, Russian, Spanish, Arabic, Bulgarian, Czech, Danish, Dutch, Estonian, Finnish, Greek, Hebrew, Hungarian, Latvian, Lithuanian, Slovak, Slovenian, Swedish, Turkish, etc. For a Me version, you can join our affiliate program. By sharing your personal link you can get 15% from sales. For G2 users we have a time-limited Coupon ===g2-2021=== which gives you 50 million symbols to translate! Please, be welcome to use it once until the end of 2021. MyLang Pro version: Unified API for accessing professional dictionaries: Amazon Translate, DeepL API, Google Cloud AutoML Translation API, Tencent Cloud TMT API, SYSTRAN PNMT API, ModernMT Human-in-the-loop, Yandex Cloud Translate API. A unified API is needed for: - Reducing the cost of maintaining the above dictionaries separately; - With automatic routing, you get the dictionary best suited for the selected language pair and direction according to the metrics hLEPOR, GLUE, MultiNLI.

**Average Rating:** 4.3/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate myLang?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.5/10)
- **Quality of Support:** 7.5/10 (Category avg: 8.4/10)
- **Ease of Admin:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind myLang?

- **Seller:** [myLang](https://www.g2.com/sellers/mylang)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Medium, 50% Small

#### What Are Recent G2 Reviews of myLang?

**["Price is usage based"](https://www.g2.com/survey_responses/mylang-review-8224631)**

**Rating:** 4.0/5.0 stars

_— Karan S._

[Read full review](https://www.g2.com/survey_responses/mylang-review-8224631)

**["Best translations via API"](https://www.g2.com/survey_responses/mylang-review-8222303)**

**Rating:** 4.5/5.0 stars

_— Dr. Ankit S._

[Read full review](https://www.g2.com/survey_responses/mylang-review-8222303)

### [RAPIDS](https://www.g2.com/products/rapids/reviews)

The RAPIDS suite of open source software libraries and APIs gives you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs. Licensed under Apache 2.0, RAPIDS is incubated by NVIDIA® based on extensive hardware and data science science experience. RAPIDS utilizes NVIDIA CUDA® primitives for low-level compute optimization, and exposes GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar dataframe API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes.

**Average Rating:** 4.8/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate RAPIDS?

- **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 RAPIDS?

- **Seller:** [NVIDIA](https://www.g2.com/sellers/nvidia)
- **Year Founded:** 1993
- **HQ Location:** Santa Clara, CA
- **Twitter:** @nvidia  
2,582,827 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=78ee5403fa8a1bf981ce9ddbc58839ffedf0b07ab7bb703e5734e5f87464a603&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3608%2F&secure%5Burl_type%5D=linkedin_company_website)  
48,229 employees on LinkedIn®
- **Ownership:** NVDA

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Do G2 Reviewers Say About RAPIDS?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **significant acceleration of data processing** in RAPIDS, especially for handling large datasets efficiently.
- Users value the **accelerated data processing** workflows of RAPIDS, enhancing efficiency with GPU computing and handling large datasets.
- Users value the **ease of use** of RAPIDS, enhancing their data processing workflows efficiently with GPU computing.
- Users value the **efficiency** of RAPIDS, noting impressive speed in data processing with GPU computing.
- I appreciate how RAPIDS enables **faster processing of large datasets** , significantly improving my data analysis workflows.

##### Cons

- Users find the **difficult learning curve** for RAPIDS challenging, particularly with GPU optimization and documentation shortcomings.
- Users find the **insufficient training** resources challenging, especially for mastering GPU optimization and advanced use cases.
- Users find the **integration difficulty** with RAPIDS challenging, particularly with GPU optimization and cloud platform examples.
- Users find **integration issues** with RAPIDS challenging, especially when working with cloud platforms and large datasets.
- Users find **GPU memory constraints** limiting when working with extremely large datasets in RAPIDS, affecting performance.

#### What Are Recent G2 Reviews of RAPIDS?

**["When Numpy and Pandas isn't enough"](https://www.g2.com/survey_responses/rapids-review-8213407)**

**Rating:** 4.5/5.0 stars

_— Anup J._

[Read full review](https://www.g2.com/survey_responses/rapids-review-8213407)

**["RAPIDS Supercharges Data Processing with GPU Performance"](https://www.g2.com/survey_responses/rapids-review-12380267)**

**Rating:** 5.0/5.0 stars

_— Little\_Legit J._

[Read full review](https://www.g2.com/survey_responses/rapids-review-12380267)

### [REP](https://www.g2.com/products/rep/reviews)

Reproducible Experiment Platform (REP) is a software infrastructure to support collaborative ecosystem for computational science it is a Python based solution for research teams that allows running computational experiments on shared datasets, obtaining repeatable results, and consistent comparisons of the obtained results.

**Average Rating:** 4.5/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate REP?

- **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:** 3.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind REP?

- **Seller:** [REP](https://www.g2.com/sellers/rep)
- **HQ Location:** Alexandria, VA
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Do G2 Reviewers Say About REP?

_AI-generated summary from verified user reviews_

##### Pros

- Users find the **detailed analytics** from REP beneficial for tracking reviews and understanding customer sentiment.
- Users value the **detailed data visualization** of REP, enhancing their understanding of reviews and sentiment analysis.

#### What Are Recent G2 Reviews of REP?

**["Awesome way to track how your reputation is being portrayed online"](https://www.g2.com/survey_responses/rep-review-10463518)**

**Rating:** 4.0/5.0 stars

_— Joseph M._

[Read full review](https://www.g2.com/survey_responses/rep-review-10463518)

**["Nice software"](https://www.g2.com/survey_responses/rep-review-573626)**

**Rating:** 5.0/5.0 stars

_— Nick L._

[Read full review](https://www.g2.com/survey_responses/rep-review-573626)

#### What Are G2 Users Discussing About REP?

- [What is REP used for?](https://www.g2.com/discussions/what-is-rep-used-for)

### [SHOGUN](https://www.g2.com/products/shogun/reviews)

SHOGUN is large scale machine learning toolbox that unified large-scale learning for a broad range of feature types and learning settings, like classification, regression, or explorative data analysis.

**Average Rating:** 4.3/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate SHOGUN?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.3/10 (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 SHOGUN?

- **Seller:** [Shogun Toolbox Foundation](https://www.g2.com/sellers/shogun-toolbox-foundation)
- **HQ Location:** London,
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Large, 50% Small

#### What Are Recent G2 Reviews of SHOGUN?

**["Love Shogun!"](https://www.g2.com/survey_responses/shogun-review-1636762)**

**Rating:** 5.0/5.0 stars

_— Ilana S._

[Read full review](https://www.g2.com/survey_responses/shogun-review-1636762)

#### What Are G2 Users Discussing About SHOGUN?

- [What is the Shogun app?](https://www.g2.com/discussions/what-is-the-shogun-app)
- [What is shogun in ecommerce?](https://www.g2.com/discussions/what-is-shogun-in-ecommerce)
- [What can Shogun do?](https://www.g2.com/discussions/what-can-shogun-do)

### [Simplismart](https://www.g2.com/products/simplismart/reviews)

Simplismart enables businesses to build a scalable production-grade AI system and manage the development lifecycle without writing a single line of code. This helps them ship deep learning models in days instead of months saving them hundreds of thousands of dollars in engineering costs. Our platform lets an amateur as well as an expert train and monitor ML models collaboratively on almost any kind of data or use-case. The user just needs to upload the dataset and select which value(s) they want to predict to train the model.

**Average Rating:** 4.3/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate Simplismart?

- **Ease of Use:** 9.2/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Simplismart?

- **Seller:** [Simplismart](https://www.g2.com/sellers/simplismart)
- **Year Founded:** 2022
- **HQ Location:** San Francisco , US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bda9fb8bc30df80b7b6671a9cc949df9eb08a7c6fc5936f6c70687ec821886f1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsimplismart%2F&secure%5Burl_type%5D=linkedin_company_website)  
25 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Medium, 50% Small

#### What Are Recent G2 Reviews of Simplismart?

**["New World of AI"](https://www.g2.com/survey_responses/simplismart-review-8509055)**

**Rating:** 4.0/5.0 stars

_— Prachi P._

[Read full review](https://www.g2.com/survey_responses/simplismart-review-8509055)

**["The smart solution for simplified management"](https://www.g2.com/survey_responses/simplismart-review-8427263)**

**Rating:** 4.5/5.0 stars

_— Vicente Jose P._

[Read full review](https://www.g2.com/survey_responses/simplismart-review-8427263)

### [Smarsh](https://www.g2.com/products/digital-reasoning-systems-smarsh/reviews)

Digital Reasoning enables automated understanding of human communication.

**Average Rating:** 4.5/5.0

**Total Reviews:** 2

#### Who Is the Company Behind Smarsh?

- **Seller:** [Smarsh Inc](https://www.g2.com/sellers/smarsh-inc)
- **Year Founded:** 2000
- **HQ Location:** Franklin, TN
- **Twitter:** @dreasoning  
2,882 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9808f450e0eded70f7662faa533f91758527d26b32f1dd0e02a676742c861f39&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F74158%2F&secure%5Burl_type%5D=linkedin_company_website)  
22 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of Smarsh?

**["software or technology involves evaluating its performance, features, usability."](https://www.g2.com/survey_responses/smarsh-review-8214564)**

**Rating:** 5.0/5.0 stars

_— Sahana B._

[Read full review](https://www.g2.com/survey_responses/smarsh-review-8214564)

**["A must-have for businesses seeking a competitive edge in today's digital landscape."](https://www.g2.com/survey_responses/smarsh-review-8214355)**

**Rating:** 4.0/5.0 stars

_— Narender B._

[Read full review](https://www.g2.com/survey_responses/smarsh-review-8214355)

### [Snorkel Predictive ML](https://www.g2.com/products/snorkel-predictive-ml/reviews)

Snorkel Predictive ML is a comprehensive platform designed to expedite the development and deployment of predictive models for classification and information extraction tasks. By leveraging programmatic data labeling and fostering efficient collaboration between data scientists and subject matter experts (SMEs), Snorkel Predictive ML streamlines the machine learning (ML) workflow, reducing the time and cost associated with manual data annotation.

**Average Rating:** 4.5/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate Snorkel Predictive ML?

- **Ease of Use:** 9.2/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Snorkel Predictive ML?

- **Seller:** [Snorkel](https://www.g2.com/sellers/snorkel)
- **Year Founded:** 2019
- **HQ Location:** Redwood City, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5532b1755231b56b14f69fa5017354733f485cb31ab47646bf2fb65725b928e8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsnorkel-ai&secure%5Burl_type%5D=linkedin_company_website)  
1,314 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Large, 50% Small

#### What Are Recent G2 Reviews of Snorkel Predictive ML?

**["Easy, Flexible Tool for Issue Resolution"](https://www.g2.com/survey_responses/snorkel-predictive-ml-review-13208160)**

**Rating:** 4.0/5.0 stars

_— Verified User in Automotive_

[Read full review](https://www.g2.com/survey_responses/snorkel-predictive-ml-review-13208160)

**["Automatea Data Labeling to Build Machine Learning Models Faster"](https://www.g2.com/survey_responses/snorkel-predictive-ml-review-13212816)**

**Rating:** 5.0/5.0 stars

_— Upmi S._

[Read full review](https://www.g2.com/survey_responses/snorkel-predictive-ml-review-13212816)

### [Spectrum Machine Learning](https://www.g2.com/products/spectrum-machine-learning/reviews)

Spectrum Machine Learning provides the processing power to deliver the reliable, real-time insight you need to reduce false positives and make your investigative teams more productive.

**Average Rating:** 2.5/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate Spectrum Machine Learning?

- **Ease of Use:** 1.7/10 (Category avg: 8.5/10)
- **Quality of Support:** 2.5/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Spectrum Machine Learning?

- **Seller:** [Precisely](https://www.g2.com/sellers/precisely-0b25c016-ffa5-4f51-9d9e-fcbc9f54cc55)
- **HQ Location:** Burlington, Massachusetts
- **Twitter:** @PreciselyData  
3,963 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=aa7625aac55fc50224b866dc1039c6548253f1616db8a852a37b70885cfb50e8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F64863146%2F&secure%5Burl_type%5D=linkedin_company_website)  
3,006 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

### [Sturdy](https://www.g2.com/products/sturdy/reviews)

Sturdy is an AI account review platform. Sturdy uses account data across every silo to instantly generate strategic account reviews, QBRs, renewal reviews, and more, cutting down hours of work to seconds. Sturdy pulls the most meaningful account data—emails, tickets, call transcripts, Slack, and CRM—into a single, source-linked view of every account. Dashboards tell you what happened; Sturdy lets you ask why and returns a straightforward answer you can verify in the underlying sources—no new dashboards. No copilot. More control tower. Thus, Sturdy provides instant answers, with no meetings required. That's the piece that's always been missing: direct account intelligence on demand—no herding people, no reading charts, no crossing your fingers that an underfed copilot can guess the answer. Lastly, Sturdy updates in real time, because things change fast. And what matters isn't the same for everyone—a minor detail to one team can be a significant signal to another. Sturdy removes that ambiguity. When something meaningful changes, it nudges you with an update. No bias, no forgetting, no hoping someone catches it. This proactive automation is what makes account intelligence actually useful: the data comes to you.

**Average Rating:** 5.0/5.0

**Total Reviews:** 9

#### How Do G2 Users Rate Sturdy?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.4/10 (Category avg: 8.5/10)
- **Quality of Support:** 9.8/10 (Category avg: 8.4/10)
- **Ease of Admin:** 9.6/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Sturdy?

- **Seller:** [Sturdy](https://www.g2.com/sellers/sturdy)
- **Year Founded:** 2020
- **HQ Location:** Portland, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3ab3eeead83f43e630b305bea8b649f84022d6cb78cbb7d51712e4bd869fb5ff&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsturdyai&secure%5Burl_type%5D=linkedin_company_website)  
31 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Medium

#### What Do G2 Reviewers Say About Sturdy?

_AI-generated summary from verified user reviews_

##### Pros

- Users remove chaos and achieve **effective problem-solving** with Sturdy, enhancing customer success and operational efficiency.
- Users commend Sturdy for its **exceptional quality** , transforming operations with seamless installation and impactful insights.
- Users find Sturdy's **AI technology** exceptional, driving significant improvements in customer engagement and retention effortlessly.
- Users highlight the **significant business growth** achieved with Sturdy, experiencing improved retention and expansion rates.
- Users praise the **responsive and effective customer support** of Sturdy, enhancing their ability to address client escalations.

#### What Are Recent G2 Reviews of Sturdy?

**["Red Van Achieves 200% Productivity Boost with Sturdy"](https://www.g2.com/survey_responses/sturdy-review-11848341)**

**Rating:** 5.0/5.0 stars

_— Shannon S._

[Read full review](https://www.g2.com/survey_responses/sturdy-review-11848341)

**["Simplifies Client Risk Management"](https://www.g2.com/survey_responses/sturdy-review-12697143)**

**Rating:** 5.0/5.0 stars

_— Tony D._

[Read full review](https://www.g2.com/survey_responses/sturdy-review-12697143)

### [Sweephy](https://www.g2.com/products/sweephy/reviews)

No-code data cleaning and ML platform

**Average Rating:** 4.0/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate Sweephy?

- **Ease of Use:** 8.3/10 (Category avg: 8.5/10)
- **Quality of Support:** 9.2/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Sweephy?

- **Seller:** [Sweephy OÜ](https://www.g2.com/sellers/sweephy-ou)
- **Year Founded:** 2022
- **HQ Location:** Tallinn, EE
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cde663f535adbf26f9c283ed8821ee465d5e11783d6905a31d7649eb3cfc69b7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsweephy&secure%5Burl_type%5D=linkedin_company_website)  
3 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Medium

#### What Are Recent G2 Reviews of Sweephy?

**["Unlock the potential of the data through a simplified, no-code approach"](https://www.g2.com/survey_responses/sweephy-review-8243542)**

**Rating:** 4.5/5.0 stars

_— Verified User in Insurance_

[Read full review](https://www.g2.com/survey_responses/sweephy-review-8243542)

### [SwiftLearner](https://www.g2.com/products/swiftlearner/reviews)

SwiftLearner is a scala machine learning library that is easier to follow than the optimized libraries, and easier to tweak it use plain Java types and have few or no dependencies.

**Average Rating:** 4.3/5.0

**Total Reviews:** 3

#### How Do G2 Users Rate SwiftLearner?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 7.5/10 (Category avg: 8.5/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.4/10)
- **Ease of Admin:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind SwiftLearner?

- **Seller:** [SwiftLearner](https://www.g2.com/sellers/swiftlearner)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 67% Medium, 33% Large

#### What Are Recent G2 Reviews of SwiftLearner?

**["SwiftLearner will meet all of yourrequirements and more."](https://www.g2.com/survey_responses/swiftlearner-review-7102775)**

**Rating:** 4.5/5.0 stars

_— Alba R._

[Read full review](https://www.g2.com/survey_responses/swiftlearner-review-7102775)

**["Data Scientist talisman"](https://www.g2.com/survey_responses/swiftlearner-review-4315799)**

**Rating:** 4.0/5.0 stars

_— Daniel K._

[Read full review](https://www.g2.com/survey_responses/swiftlearner-review-4315799)

#### What Are G2 Users Discussing About SwiftLearner?

- [What is SwiftLearner used for?](https://www.g2.com/discussions/what-is-swiftlearner-used-for)

### [TELEXISTENCE](https://www.g2.com/products/telexistence/reviews)

“TELEXISTENCE” is a concept that was first proposed in 1980 by Dr. Susumu Tachi, Professor Emeritus of the University of Tokyo and the chairman of TX inc, which refers to the notion of humans being in a place other than where he or she actually exists and being able to act freely in that remote environment – essentially expanding the presence of human beings – as well as the technological systems that make this possible.

**Average Rating:** 5.0/5.0

**Total Reviews:** 2

#### How Do G2 Users Rate TELEXISTENCE?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 7.5/10 (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 TELEXISTENCE?

- **Seller:** [TELEXISTENCE](https://www.g2.com/sellers/telexistence)
- **Year Founded:** 2017
- **HQ Location:** Ota-ku, JP
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=85eb41adf49a8e1850288dd25fbfc416a6a0f75306e5be733d91af7cb3582e4d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftelexistenceinc%2F&secure%5Burl_type%5D=linkedin_company_website)  
102 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Medium, 50% Small

#### What Are Recent G2 Reviews of TELEXISTENCE?

**["VR remote controlled robotics"](https://www.g2.com/survey_responses/telexistence-review-8282202)**

**Rating:** 5.0/5.0 stars

_— Verified User in Consulting_

[Read full review](https://www.g2.com/survey_responses/telexistence-review-8282202)

**["TELEXISTENCE"](https://www.g2.com/survey_responses/telexistence-review-8211122)**

**Rating:** 5.0/5.0 stars

_— Charalambos B._

[Read full review](https://www.g2.com/survey_responses/telexistence-review-8211122)

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[Browse Machine Learning Themes](/categories/machine-learning/themes)

 ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi")
SJ

Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)

Updated April 9, 2026

Machine learning software leverages algorithms that learn and adapt from data to automate complex decision-making and generate predictions, improving speed and accuracy of outputs over time as the application ingests more training data, with applications spanning process automation, customer service, security risk identification, and contextual collaboration.

### Core Capabilities of Machine Learning Software

To qualify for inclusion in the Machine Learning category, a product must:

- Offer an algorithm that learns and adapts based on data
- Consume data inputs from a variety of data pools
- Ingest data from structured, unstructured, or streaming sources including local files, cloud storage, databases, or APIs
- Be the source of intelligent learning capabilities for applications
- Provide an output that solves a specific issue based on the learned data

### Common Use Cases for Machine Learning Software

Machine learning platforms are used across industries to power intelligent automation and predictive capabilities. Common use cases include:

- Automating complex decisions in financial services, healthcare, and agriculture
- Powering the backend AI that end users interact with in customer-facing applications
- Building and training models for security risk identification and fraud detection

### How Machine Learning Software Differs from Other Tools

End users of machine learning-powered applications do not interact with the algorithm directly, machine learning powers the backend AI layer that users engage with. Machine learning platforms differ from [machine learning operationalization (MLOps) platforms](https://www.g2.com/categories/mlops-platforms) by focusing on model development and training rather than deployment monitoring and lifecycle management.

### Insights from G2 on Machine Learning Software

Based on category trends on G2, flexible data ingestion and model accuracy improvements over time stand out as the most valued capabilities. Ease of integration with existing data infrastructure and the breadth of supported algorithms stand out as key decision factors.

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