# Best Data Science and Machine Learning Platforms - Page 5

## How Many Data Science and Machine Learning Platforms Products Does G2 Track?

**Total Products under this Category:** 1,043

### Category Stats (Aug 2026)

- **Average Rating:** 4.46/5 (↑0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** FalkorDB (+5.88%) - Among all products in this category, FalkorDB recorded the largest rating increase compared to last month

_Last updated: August 01, 2026_

## How Does G2 Rank Data Science and Machine Learning Platforms Products?

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

- 30 Analysts and Data Experts
- 14,200+ Authentic Reviews
- 1,043+ 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 Data Science and Machine Learning Platforms
 ![G2 Grid® for Data Science and Machine Learning Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/data-science-and-machine-learning-platforms/grids.png?focus%5B%5D=10470&focus%5B%5D=21469&focus%5B%5D=1327283&focus%5B%5D=10938&focus%5B%5D=67045&focus%5B%5D=24457&focus%5B%5D=1308796&focus%5B%5D=162504)

Highlighted products: Databricks, Gemini Enterprise Agent Platform, SAS Viya, Snowflake, Google Cloud AutoML, MATLAB, IBM watsonx.data, and Hex.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-science-and-machine-learning-platforms/grids.json?focus%5B%5D=databricks&focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=sas-sas-viya&focus%5B%5D=snowflake&focus%5B%5D=google-cloud-automl&focus%5B%5D=matlab&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=hex-tech-hex)

**Sponsored**

### KNIME

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.

[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=692&secure%5Bchosen_at%5D=2026-08-09T02%3A45%3A02Z&secure%5Bdisplayable_resource_id%5D=692&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=692&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=16291&secure%5Bresource_id%5D=692&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-science-and-machine-learning-platforms%3FhsCtaTracking%3De3fe859b-0d36-4cf8-85cf-2151a5747412%257Cc2cacced-e747-4cdf-b773-a1add6fb9f95%26page%3D5&secure%5Btoken%5D=319ebc5e4df7b42b91dbcdeaa24db79c0a81c94f0ec8c9e33b7024addf0ab003&secure%5Burl%5D=https%3A%2F%2Fwww.knime.com%2Flp%2Fdemo%3Futm_medium%3D3rd-party%26utm_source%3DG2%26utm_campaign%3Dbrand%26utm_term%3Dpaid%26utm_content%3D&secure%5Burl_type%5D=custom_url)

### [Anyscale](https://www.g2.com/products/anyscale/reviews)

The AI Platform for AI Companies. Develop AI with unmatched scale, performance, and efficiency

**Average Rating:** 4.3/5.0

**Total Reviews:** 10

#### How Do G2 Users Rate Anyscale?

- **Natural Language Understanding:** 7.5/10 (Category avg: 8.2/10)
- **Ease of Admin:** 6.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Anyscale?

- **Seller:** [Anyscale](https://www.g2.com/sellers/anyscale)
- **Year Founded:** 2019
- **HQ Location:** San Francisco, California, United States
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=19ce8e4a6fc0d406af08a2d66b1b9ca4f03e1a4824b7db1e9f0593f572c5dd91&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fjoinanyscale&secure%5Burl_type%5D=linkedin_company_website)  
177 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 45% Large, 45% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** with Anyscale, simplifying AI application deployment from development to production seamlessly.
- Users value the **exceptional scalability** of Anyscale, facilitating seamless transitions from development to production for AI workloads.
- Users value the **scalability of AI/ML workloads** offered by Anyscale, streamlining development to production effortlessly.
- Users appreciate the **seamless AI integration** with Anyscale, simplifying deployment and enhancing productivity for AI applications.
- Users value Anyscale's **automation capabilities** , which simplify deploying AI applications while eliminating infrastructure complexities.

##### Cons

- Users find the **pricing structure unclear** , complicating cost planning and making it difficult to anticipate monthly bills.
- Users find the **pricing structure unclear** , complicating cost planning and making expenses difficult to predict.
- Users face **challenges with debugging** during the building process, which can hinder overall productivity and efficiency.
- Users report that **debugging issues** can create challenges during the build process with Anyscale.
- Users feel the **insufficient learning resources** hinder onboarding, as documentation lacks clarity and examples for beginners.

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

**["Effortless Scaling and Deployment for AI Workloads"](https://www.g2.com/survey_responses/anyscale-review-13190755)**

**Rating:** 4.0/5.0 stars

_— Jeni J._

[Read full review](https://www.g2.com/survey_responses/anyscale-review-13190755)

**["Effortless Ray Scaling for Distributed AI/ML—Less Infrastructure, More Productivity"](https://www.g2.com/survey_responses/anyscale-review-13224267)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/anyscale-review-13224267)

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

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

### [ILUM](https://www.g2.com/products/ilum-ilum/reviews)

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible.

**Average Rating:** 4.9/5.0

**Total Reviews:** 23

#### How Do G2 Users Rate ILUM?

- **Natural Language Understanding:** 10.0/10 (Category avg: 8.2/10)
- **Ease of Admin:** 9.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind ILUM?

- **Seller:** [Ilum](https://www.g2.com/sellers/ilum)
- **Company Website:** ilum.cloud
- **Year Founded:** 2019
- **HQ Location:** Santa Fe, US
- **Twitter:** @IlumCloud  
19 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1fbd1d37d0b9f349ede11be8e26481a08073e5b7f53b306080db734d9789f8fb&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Filum-cloud%2F&secure%5Burl_type%5D=linkedin_company_website)  
4 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Telecommunications
- **Company Size:** 52% Large, 35% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of ILUM, enjoying seamless integration and a smooth workflow for managing data.
- Users value the **seamless integration** of ILUM with existing systems, enhancing efficiency in data management and analytics.
- Users appreciate the **seamless integrations** of ILUM, enhancing data management and analytics with a unified, efficient platform.
- Users value the **quick and seamless setup** of ILUM, appreciating its ease of integration and efficiency.
- Users appreciate the **easy integrations** of ILUM, smoothly fitting into existing systems without major rewrites.

##### Cons

- Users find the **complex setup** for advanced configurations of ILUM can be challenging for newcomers to navigate.
- Users find the **difficult setup** process of ILUM challenging, requiring significant effort and experimentation to optimize configurations.
- Users find the **learning curve steep** for advanced features in ILUM, requiring time to adapt and configure settings.
- Users note that **UI improvements** are needed for easier access to advanced settings and configurations in ILUM.
- Users find some aspects of ILUM's setup **complex and unintuitive** , requiring considerable effort to configure effectively.

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

**["From Hadoop to K8s with lower TCO"](https://www.g2.com/survey_responses/ilum-review-11862422)**

**Rating:** 5.0/5.0 stars

_— Mark D._

[Read full review](https://www.g2.com/survey_responses/ilum-review-11862422)

**["Seamless Integration and Unified Features for Advanced Users"](https://www.g2.com/survey_responses/ilum-review-11904273)**

**Rating:** 5.0/5.0 stars

_— Jan L._

[Read full review](https://www.g2.com/survey_responses/ilum-review-11904273)

### [Telesign Intelligence](https://www.g2.com/products/telesign-intelligence/reviews)

Intelligence is a machine learning (ML) powered solution that enables businesses to analyze static and behavioral attributes across multiple data inputs such as phone numbers, IP addresses, and email addresses. See product description below for more detail.

**Average Rating:** 4.4/5.0

**Total Reviews:** 8

#### How Do G2 Users Rate Telesign Intelligence?

- **Application:** 8.3/10 (Category avg: 8.5/10)
- **Managed Service:** 8.3/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.3/10 (Category avg: 8.2/10)
- **Ease of Admin:** 5.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Telesign Intelligence?

- **Seller:** [Telesign](https://www.g2.com/sellers/telesign)
- **Year Founded:** 2005
- **HQ Location:** Marina del Rey, US
- **Twitter:** @TeleSign  
1,866 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6cf3aa8d2f50e7e4db458250cc5eda17631bece33919504851751c86c9429bf4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F255100&secure%5Burl_type%5D=linkedin_company_website)  
518 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 75% Medium, 38% Small

#### What Do G2 Reviewers Say About Telesign Intelligence?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Telesign Intelligence's **easy integrations** helpful for enhancing security without sacrificing performance and efficiency.
- Users appreciate the **efficient real-time fraud detection** of Telesign Intelligence, enhancing security without sacrificing performance.
- Users value TeleSign's **real-time fraud detection** , enhancing security and preventing suspicious activities effectively.
- Users appreciate the **scalability** of Telesign Intelligence, allowing easy integration of security features without performance loss.
- Users value the **real-time fraud detection** of Telesign Intelligence, enhancing security and preventing suspicious activities effectively.

##### Cons

- Users find the **difficult setup** of Telesign Intelligence challenging, often needing better documentation for effective use.
- Users find the pricing for Telesign Intelligence to be **expensive as usage scales** , affecting overall cost-effectiveness.
- Users find the **insufficient learning resources** challenging, as detailed documentation is lacking for setup and customization.
- Users find a **steep learning curve** in Telesign Intelligence, which can complicate the setup and customization process.

#### What Are Recent G2 Reviews of Telesign Intelligence?

**["Robust, Reliable APIs for Global OTP Delivery and Verification"](https://www.g2.com/survey_responses/telesign-intelligence-review-12440729)**

**Rating:** 4.0/5.0 stars

_— Verified User in Oil & Energy_

[Read full review](https://www.g2.com/survey_responses/telesign-intelligence-review-12440729)

**["TeleSign Intelligence: Reliable for Fraud Detection & Prevention"](https://www.g2.com/survey_responses/telesign-intelligence-review-10299380)**

**Rating:** 4.0/5.0 stars

_— Naman J._

[Read full review](https://www.g2.com/survey_responses/telesign-intelligence-review-10299380)

### [Deep Learning Containers](https://www.g2.com/products/deep-learning-containers/reviews)

Google's Deep Learning Containers are pre-configured Docker images designed to streamline the development and deployment of deep learning models. These containers come equipped with popular machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, along with their dependencies, enabling data scientists and developers to focus on model development without the hassle of environment setup. Key Features and Functionality: - Pre-configured Environments: Each container includes essential deep learning frameworks and libraries, ensuring compatibility and reducing setup time. - Scalability: Seamless integration with Google Cloud services allows for efficient scaling of training and inference tasks. - Flexibility: Support for various hardware accelerators, including GPUs and TPUs, enhances performance for computationally intensive tasks. - Portability: Consistent environments across development, testing, and production stages facilitate smoother transitions and deployments. Primary Value and Problem Solved: Deep Learning Containers address the complexities associated with setting up and managing deep learning environments. By providing ready-to-use, optimized containers, they eliminate the need for manual installation and configuration of machine learning frameworks and dependencies. This accelerates the development process, ensures consistency across different stages of model deployment, and allows teams to allocate more resources toward innovation and model refinement rather than infrastructure management.

**Average Rating:** 4.6/5.0

**Total Reviews:** 7

#### How Do G2 Users Rate Deep Learning Containers?

- **Application:** 9.2/10 (Category avg: 8.5/10)
- **Managed Service:** 9.2/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 9.2/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Deep Learning Containers?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Company Size:** 57% Large, 29% Medium

#### What Do G2 Reviewers Say About Deep Learning Containers?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **easy integrations** offered by Deep Learning Containers, enhancing compatibility with various tools and services.
- Users appreciate the **seamless integration** of Deep Learning Containers with Google Cloud Services, enhancing support for PyTorch and TensorFlow.

##### Cons

- Users experience a **complex interface** that makes getting started with Deep Learning Containers challenging and overwhelming.

#### What Are Recent G2 Reviews of Deep Learning Containers?

**["Deep Learning Containers Deliver Fast, Consistent ML Environments on Google Cloud"](https://www.g2.com/survey_responses/deep-learning-containers-review-13184675)**

**Rating:** 4.5/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/survey_responses/deep-learning-containers-review-13184675)

**["Fast, Reliable AI Development with GPU-Optimized Deep Learning Containers"](https://www.g2.com/survey_responses/deep-learning-containers-review-13172578)**

**Rating:** 4.5/5.0 stars

_— LOKESH G._

[Read full review](https://www.g2.com/survey_responses/deep-learning-containers-review-13172578)

### [SAP Business Data Cloud](https://www.g2.com/products/sap-business-data-cloud/reviews)

SAP Business Data Cloud is a fully managed software-as-a-service (SaaS) solution that unifies and governs SAP data and connects with third-party data. As an evolution of the company's data, planning, and analytics solutions, SAP Business Data Cloud brings together SAP Datasphere, SAP Analytics Cloud, and SAP Business Warehouse with a unified experience that delivers insights across all lines of business. In addition, SAP Databricks is natively available in Business Data Cloud - bringing the power of Databricks Data Intelligence Platform capabilities to the product. SAP Business Data Cloud connects data by leveraging business data fabric principles, making it easier to discover, share, govern, and model this data. It includes SAP Databricks as a first-party data service. The platform combines prebuilt applications and data products across all lines of business. It provides fully managed, curated data products across all lines of business and eliminate the costs of data extracts. Users can build on SAP’s curated data products with their domain expertise, and deliver Intelligent Applications through the Business Data Cloud ecosystem. These intelligent applications are adaptive, AI-powered applications that learn from your data, understand business context, and act on your behalf to transform business outcomes.

**Average Rating:** 4.2/5.0

**Total Reviews:** 75

#### How Do G2 Users Rate SAP Business Data Cloud?

- **Ease of Admin:** 7.5/10 (Category avg: 8.5/10)

#### Who Is the Company Behind SAP Business Data Cloud?

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Company Website:** www.sap.com
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP  
297,052 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website)  
141,955 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 39% Large, 29% Small

#### What Do G2 Reviewers Say About SAP Business Data Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of SAP Business Data Cloud, benefiting from streamlined access to trusted data.
- Users value the **seamless data integration** and robust governance of SAP Business Data Cloud, enhancing organizational efficiency.
- Users value the **integration capabilities** of SAP Business Data Cloud, effectively unifying data from diverse sources for enhanced efficiency.
- Users value the **single, trusted view of data** offered by SAP Business Data Cloud, enhancing efficiency and organization.
- Users value the **seamless integration** capabilities of SAP Business Data Cloud, enhancing data management and decision-making efficiency.

##### Cons

- Users find the **setup complexity** of SAP Business Data Cloud daunting, especially for hybrid environments and data integration.
- Users face a **difficult learning curve** due to the complexity and advanced features of SAP Business Data Cloud.
- Users face **integration issues** with SAP Business Data Cloud, making setup and configuration challenging in hybrid environments.
- Users highlight the **high costs** associated with SAP Business Data Cloud for large-scale implementations, affecting budget considerations.
- Users note a **steep learning curve** , making it challenging for new users to navigate SAP Business Data Cloud effectively.

#### What Are Recent G2 Reviews of SAP Business Data Cloud?

**["Unify SAP and non-SAP data"](https://www.g2.com/survey_responses/sap-business-data-cloud-review-12851557)**

**Rating:** 4.0/5.0 stars

_— Maria Francesca I._

[Read full review](https://www.g2.com/survey_responses/sap-business-data-cloud-review-12851557)

**["Centralized Data Management with User-Friendly UI"](https://www.g2.com/survey_responses/sap-business-data-cloud-review-12609585)**

**Rating:** 4.0/5.0 stars

_— Tejas Kumar V._

[Read full review](https://www.g2.com/survey_responses/sap-business-data-cloud-review-12609585)

### [Seldon](https://www.g2.com/products/seldon/reviews)

Seldon gets machine learning models to production faster, in the most reliable way. Front-end deployment of models, explainers and canaries means users can deploy ML models and testing can be done in live environments. Metrics and dashboards can monitor models to improve performance and rapidly communicate errors for easy debugging. Model explainers mean you can understand and adjust what features are influencing the model and anomaly detection can flag drifts in data.

**Average Rating:** 4.3/5.0

**Total Reviews:** 11

#### How Do G2 Users Rate Seldon?

- **Application:** 8.3/10 (Category avg: 8.5/10)
- **Managed Service:** 6.7/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.3/10 (Category avg: 8.2/10)
- **Ease of Admin:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Seldon?

- **Seller:** [Seldon](https://www.g2.com/sellers/seldon)
- **Year Founded:** 2014
- **HQ Location:** London, GB
- **Twitter:** @seldon\_io  
2,250 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=67bdaca64dedd7b54e4bcc4ca6774af3ef2eff93e87bcea6c8ff63b9097cd372&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fseldon%2Fabout&secure%5Burl_type%5D=linkedin_company_website)  
91 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 45% Large, 36% Small

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

**["Model deployment with Seldon"](https://www.g2.com/survey_responses/seldon-review-7284504)**

**Rating:** 4.5/5.0 stars

_— Verified User in Defense & Space_

[Read full review](https://www.g2.com/survey_responses/seldon-review-7284504)

**["opting Seldon is good?"](https://www.g2.com/survey_responses/seldon-review-6967331)**

**Rating:** 4.0/5.0 stars

_— Baratam V._

[Read full review](https://www.g2.com/survey_responses/seldon-review-6967331)

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

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

### [Labellerr](https://www.g2.com/products/labellerr/reviews)

Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling tasks and have modules to manage multiple projects, users, and millions of unstructured data. Teams can perform- 1. Automated data curation 2. EDA (Exploratory Data Analysis) 3. Automated data labeling 4. Quality control with assurance 5. Automated QC 6. Model debugging Data types that it supports are images, videos, text, audio, and PDFs. Use cases it supports are object detection, segmentation, classification, image captioning, transcription, and translation. The active learning feature has helped users save 1000s USD per task. Labellerr recently launched LabelGPT which labels images using a prompt. It leverages the combination of generative AI models to label data in minutes rather than months.

**Average Rating:** 4.8/5.0

**Total Reviews:** 21

#### How Do G2 Users Rate Labellerr?

- **Application:** 8.3/10 (Category avg: 8.5/10)
- **Managed Service:** 8.3/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.3/10 (Category avg: 8.2/10)
- **Ease of Admin:** 9.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Labellerr?

- **Seller:** [Tensor Matics Inc.](https://www.g2.com/sellers/tensor-matics-inc)
- **Year Founded:** 2017
- **HQ Location:** Wilmington, Delaware
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=749408052147c16d8ba3abf3fc8cb33848c43636f6a5480940487b19ee6bc953&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftensormatics%2F&secure%5Burl_type%5D=linkedin_company_website)  
2 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 57% Small, 38% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **annotation efficiency** of Labellerr, valuing the high quality and smooth collaboration it offers.
- Users value the **excellent collaboration** features of Labellerr, enhancing teamwork and annotation quality.
- Users appreciate the **responsive customer support** of Labellerr, noting their team's constant availability and assistance.
- Users highlight the **high annotation quality** of Labellerr, enabling effective collaboration and accurate data collection.
- Users commend the **high efficiency** of Labellerr, noting exceptional collaboration and top-notch annotation quality.

##### Cons

- Users find the **difficult setup** of Labellerr time-consuming, impacting the ease of collaboration initially.

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

**["Incredible solution and support team"](https://www.g2.com/survey_responses/labellerr-review-9089700)**

**Rating:** 5.0/5.0 stars

_— Aswin M._

[Read full review](https://www.g2.com/survey_responses/labellerr-review-9089700)

**["LabellErr annotation partnership for waste image computer vision"](https://www.g2.com/survey_responses/labellerr-review-10840868)**

**Rating:** 5.0/5.0 stars

_— Laurent M._

[Read full review](https://www.g2.com/survey_responses/labellerr-review-10840868)

### [Neural Designer](https://www.g2.com/products/neural-designer/reviews)

Neural Designer is a powerful software tool for developing and deploying machine learning models. It provides a user-friendly interface that allows users to build, train, and evaluate neural networks without requiring extensive programming knowledge. With a wide range of features and algorithms, Neural Designer simplifies the entire machine learning workflow, from data preprocessing to model optimization. In addition, it supports various data types, including numerical, categorical, and text, making it versatile for domains. Additionally, Neural Designer offers automatic model selection and hyperparameter optimization, enabling users to find the best model for their data with minimal effort. Finally, its intuitive visualizations and comprehensive reports facilitate interpreting and understanding the model's performance. Whether you are a beginner or an experienced data scientist, Neural Designer accelerates the development of accurate and efficient machine learning models.

**Average Rating:** 4.4/5.0

**Total Reviews:** 6

#### How Do G2 Users Rate Neural Designer?

- **Application:** 8.7/10 (Category avg: 8.5/10)
- **Managed Service:** 7.3/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 5.7/10 (Category avg: 8.2/10)

#### Who Is the Company Behind Neural Designer?

- **Seller:** [Artelnics](https://www.g2.com/sellers/artelnics)
- **Year Founded:** 2014
- **HQ Location:** Villamayor, ES
- **Twitter:** @artelnics  
803 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6f9a1df50bdb4b644430e47a3a0d9c163ccfd9813d9834acaa6b1daeeb740cfb&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fartelnics%2F&secure%5Burl_type%5D=linkedin_company_website)  
7 employees on LinkedIn®

#### Who Uses This Product?

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

#### What Are Recent G2 Reviews of Neural Designer?

**[""Neural Designers" - Ergonomic way to create a model using Machine learning."](https://www.g2.com/survey_responses/neural-designer-review-9562315)**

**Rating:** 4.5/5.0 stars

_— AshwinKumar N._

[Read full review](https://www.g2.com/survey_responses/neural-designer-review-9562315)

**["Best tool to visualize Neural Networks"](https://www.g2.com/survey_responses/neural-designer-review-8869518)**

**Rating:** 5.0/5.0 stars

_— Manav S._

[Read full review](https://www.g2.com/survey_responses/neural-designer-review-8869518)

#### What Are G2 Users Discussing About Neural Designer?

- [What is Neural Designer used for?](https://www.g2.com/discussions/neural-designer-what-is-neural-designer-used-for)
- [What is Neural Designer used for?](https://www.g2.com/discussions/what-is-neural-designer-used-for)

### [Oracle Data Science Cloud Service](https://www.g2.com/products/oracle-data-science-cloud-service/reviews)

Oracle Data Science Cloud Service enables data science teams to easily organize their work, access data and computing resources, and build, train, deploy, and manage models on the Oracle Cloud. The platform makes data science teams more productive, and enables them to deploy more work faster to power their organizations with machine learning.

**Average Rating:** 3.7/5.0

**Total Reviews:** 6

#### How Do G2 Users Rate Oracle Data Science Cloud Service?

- **Ease of Admin:** 9.4/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Oracle Data Science Cloud Service?

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle  
827,997 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a14fcbcd818b49d781453c19628a9479a70cc1e8e335e54c876392ab5f543da3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1028%2F&secure%5Burl_type%5D=linkedin_company_website)  
208,078 employees on LinkedIn®
- **Ownership:** NYSE:ORCL

#### Who Uses This Product?

- **Company Size:** 50% Medium, 33% Small

#### What Are Recent G2 Reviews of Oracle Data Science Cloud Service?

**["Game Changer"](https://www.g2.com/survey_responses/oracle-data-science-cloud-service-review-3004655)**

**Rating:** 4.0/5.0 stars

_— Kefa P._

[Read full review](https://www.g2.com/survey_responses/oracle-data-science-cloud-service-review-3004655)

**["Enables data science teams to easily organize their work, access data and computing resource"](https://www.g2.com/survey_responses/oracle-data-science-cloud-service-review-1877895)**

**Rating:** 5.0/5.0 stars

_— Verified User in Computer Networking_

[Read full review](https://www.g2.com/survey_responses/oracle-data-science-cloud-service-review-1877895)

### [Palantir Gotham](https://www.g2.com/products/palantir-gotham/reviews)

Palantir Gotham is a commercially-available, AI-ready operating system that improves and accelerates decisions for operators across roles and all domains. For over a decade, Gotham has surfaced insights from complex data for global defense agencies, the intelligence community, disaster relief organizations, and beyond. Gotham joins and enriches massive volumes of near-real time data and presents them in a single view that enables users to make faster, more confident decisions, together. Decision makers from headquarters to the forward deployed edge access the most recent understanding of the world, and can act while accounting for global tradeoffs and dependencies.

**Average Rating:** 3.9/5.0

**Total Reviews:** 10

#### How Do G2 Users Rate Palantir Gotham?

- **Application:** 9.2/10 (Category avg: 8.5/10)
- **Managed Service:** 9.2/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 8.8/10 (Category avg: 8.2/10)

#### Who Is the Company Behind Palantir Gotham?

- **Seller:** [Palantir](https://www.g2.com/sellers/palantir)
- **HQ Location:** Denver, US
- **Twitter:** @PalantirTech  
425,595 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=72dcda59d40c2baf9a4bfa194ce70870e9bd13d15815cbb074e629c18193ec32&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpalantir-technologies%2F&secure%5Burl_type%5D=linkedin_company_website)  
5,858 employees on LinkedIn®
- **Ownership:** PLTR (NYSE)

#### Who Uses This Product?

- **Company Size:** 36% Medium, 27% Large

#### What Are Recent G2 Reviews of Palantir Gotham?

**["Get Everything About Your data With Palantir Gotham"](https://www.g2.com/survey_responses/palantir-gotham-review-8595794)**

**Rating:** 4.5/5.0 stars

_— Amruta k._

[Read full review](https://www.g2.com/survey_responses/palantir-gotham-review-8595794)

**["Palantir Gotham - Unleashing the Power of Data Analysis"](https://www.g2.com/survey_responses/palantir-gotham-review-8332874)**

**Rating:** 4.0/5.0 stars

_— Prashant T._

[Read full review](https://www.g2.com/survey_responses/palantir-gotham-review-8332874)

#### What Are G2 Users Discussing About Palantir Gotham?

- [What is Palantir Gotham used for?](https://www.g2.com/discussions/palantir-gotham-what-is-palantir-gotham-used-for)
- [What is Palantir Gotham used for?](https://www.g2.com/discussions/what-is-palantir-gotham-used-for)

### [Braintrust Data](https://www.g2.com/products/braintrust-data/reviews)

Braintrust Data is a comprehensive data management platform designed to empower organizations by transforming raw data into actionable insights. It offers a suite of tools that facilitate data integration, analysis, and visualization, enabling businesses to make informed decisions efficiently. Key Features and Functionality: - Data Integration: Seamlessly combines data from multiple sources, ensuring a unified and consistent dataset. - Advanced Analytics: Utilizes sophisticated algorithms to uncover patterns, trends, and correlations within the data. - Customizable Dashboards: Provides interactive dashboards that can be tailored to specific business needs, offering real-time insights. - Scalability: Designed to handle large volumes of data, accommodating the growth of an organization. - Security: Implements robust security measures to protect sensitive information and ensure compliance with data regulations. Primary Value and Solutions: Braintrust Data addresses the challenge of managing and interpreting vast amounts of data by offering a streamlined platform that simplifies data processes. It enables organizations to harness the full potential of their data, leading to improved operational efficiency, strategic planning, and competitive advantage. By providing tools for integration, analysis, and visualization, Braintrust Data ensures that businesses can make data-driven decisions with confidence.

**Average Rating:** 4.5/5.0

**Total Reviews:** 5

#### How Do G2 Users Rate Braintrust Data?

- **Natural Language Understanding:** 10.0/10 (Category avg: 8.2/10)
- **Ease of Admin:** 5.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Braintrust Data?

- **Seller:** [Braintrust](https://www.g2.com/sellers/braintrust-70da938f-eb27-4a47-ab01-a0bb5c7c9102)
- **Year Founded:** 2023
- **HQ Location:** San Francisco, California, United States
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=680c93da808aae6d603bece24c9938e9931e77ac0cc7dbf7d5e245608f43cffb&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbraintrust-data&secure%5Burl_type%5D=linkedin_company_website)  
177 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 60% Large, 20% Medium

#### What Are Recent G2 Reviews of Braintrust Data?

**["Systematic Prompt Evaluations with Smooth Workflow Integration"](https://www.g2.com/survey_responses/braintrust-data-review-13228567)**

**Rating:** 4.5/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/survey_responses/braintrust-data-review-13228567)

**["Reliable Platform for Managing AI Evaluation Datasets"](https://www.g2.com/survey_responses/braintrust-data-review-13226204)**

**Rating:** 4.0/5.0 stars

_— Muhammad O._

[Read full review](https://www.g2.com/survey_responses/braintrust-data-review-13226204)

### [Limadata](https://www.g2.com/products/limadata/reviews)

Limadata is the real-time B2B data layer for AI agents and go-to-market teams. It connects sales, recruiting, and GTM workflows to fresh people, company, contact, and signal data through one unified API — built to plug directly into AI agents and agentic tools like Claude Code, Cursor, and MCP-based frameworks. Key Features and Functionality: - Find & Enrich: Search the global B2B graph by 95+ person attributes (role, seniority, location, skills) or 200+ company attributes (industry, size, tech stack, funding signals), then enrich any known email or domain into a complete profile. - People Enrichment: Get verified work emails, mobile numbers, social profiles, and employer firmographics for any individual. - Company Enrichment: Pull deep firmographic and technographic data — funding history, tech stack, headcount growth, SIC codes, and verified contact counts — for any domain. - Watch & Webhooks: Monitor people and companies for real-time changes (job moves, promotions, funding events, hiring spikes) with instant webhook delivery when something changes. - Multiple Integration Paths: Real-time REST API, push webhooks, bulk data licensing for internal data lakes or model training, and a native MCP server for agent frameworks. - Global Identity Graph: A continuously-resolved graph unifying millions of identities into a single, AI-ready data layer, indexing over a million events a day. Primary Value and Solutions Provided: Limadata solves the problem of AI agents and GTM tools running on stale, disconnected data. Rather than a data management/BI platform for internal analytics, it's an infrastructure layer that feeds live B2B intelligence directly into sales outbound, recruiting/talent sourcing, CRM enrichment, audience targeting, AI agent workflows, and investing/signal-tracking use cases. Teams use it to find the right people and companies, keep records fresh automatically, and get alerted the moment something meaningful changes — turning real-time web and B2B data into faster, better-informed action.

**Average Rating:** 5.0/5.0

**Total Reviews:** 5

#### Who Is the Company Behind Limadata?

- **Seller:** [Limadata](https://www.g2.com/sellers/limadata)
- **Year Founded:** 2024
- **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=df94a7fe0d41f18b902109c45c50695ca2567f83601075abcccd7700697af68c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flimadata-com&secure%5Burl_type%5D=linkedin_company_website)  
2 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

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

**["Fresh, High-Quality Data and Lightning-Fast Limadata APIs"](https://www.g2.com/survey_responses/limadata-review-13193153)**

**Rating:** 5.0/5.0 stars

_— Verified User in Marketing and Advertising_

[Read full review](https://www.g2.com/survey_responses/limadata-review-13193153)

**["Limadata Delivers Transparent, High-Quality Data with Outstanding Support"](https://www.g2.com/survey_responses/limadata-review-13216892)**

**Rating:** 5.0/5.0 stars

_— Brandon P._

[Read full review](https://www.g2.com/survey_responses/limadata-review-13216892)

### [Loxo](https://www.g2.com/products/loxo/reviews)

Loxo is the #1 Talent Intelligence Platform and global leader in recruiting software. The old-school, legacy ATS will not exist in 5 years. Loxo is the way of the future, managing the full recruitment life cycle through a single system-of-record software platform. It replaces your clunky legacy ATS and brings infinitely more to the table in the process. Because it shouldn't take 10+ tools to make one hire. Loxo's Talent Intelligence Platform includes: - A best-in-class ATS. - An AI-driven Recruiting CRM: Your recruitment database, which contains a combination of your data and Loxo's automatically-updating data to ensure you've always got the most accurate candidate information. - A multi-channel outreach tool with AI-powered campaign-building capabilities, so you never miss a follow-up. - A people and company search engine filled with over 1.2 billion people & millions of organizations. - Verified contact information like personal emails and cell phone numbers. - Instant AI sourcing, ranking, and matching thanks to Loxo's AI assistant, Copilot. Not to mention... Loxo is also the only recruitment software to feature a Sales CRM specifically designed for recruiters. You can conduct business development activities in the same place you do the rest of your workflow. The real win here? Each of these market-leading products are designed to work seamlessly together, making every step of your job more efficient and reducing room for error. More than 13,200 executive search, RPO, professional recruitment, and staffing teams across the globe have become hiring machines with Loxo. But what does that mean, exactly? - A 74% decrease in cost across the entire talent lifecycle, including costs to source and hire. - An 85% reduction in time-to-hire thanks to sourcing and workflow automation. - 98% customer satisfaction. But don't take our word for it. Check out our reviews to see how much our customers love working with Loxo.

**Average Rating:** 4.6/5.0

**Total Reviews:** 164

#### How Do G2 Users Rate Loxo?

- **Application:** 6.7/10 (Category avg: 8.5/10)
- **Managed Service:** 6.7/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 6.7/10 (Category avg: 8.2/10)
- **Ease of Admin:** 8.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Loxo?

- **Seller:** [Loxo](https://www.g2.com/sellers/loxo)
- **Year Founded:** 2012
- **HQ Location:** Austin, Texas
- **Twitter:** @loxo  
71 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3d3e164dd3f11683101b24b23a6eeed50a36549be2c294e2fb24c47dea4fef06&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Floxo%2F&secure%5Burl_type%5D=linkedin_company_website)  
154 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Founder, Managing Director
- **Top Industries:** Staffing and Recruiting, Information Technology and Services
- **Company Size:** 95% Small, 6% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Loxo, finding it intuitive and effective for recruiting tasks.
- Users love the **clean and intuitive interface** of Loxo, making navigating and finding information effortless.
- Users love Loxo for its **time-saving features** , enabling efficient candidate sourcing and streamlined email campaigns.
- Users appreciate the **user-friendly design and innovative features** of Loxo, making recruitment efficient and enjoyable.
- Users find Loxo to be highly **intuitive** , making candidate sourcing and data migration a breeze.

##### Cons

- Users express frustration over **limited customization** options in Loxo, finding it inadequate for differentiating Contacts and Candidates.
- Users express concern over the **lack of distinction between Contacts and Candidates** , hindering their management experience.
- Users find the **initial learning curve and setup time** challenging, impacting their overall experience with Loxo.
- Users report **email functionality issues** with Loxo, hindering effective communication and candidate outreach.
- Users find Loxo **expensive** and ineffective, facing issues with functionality that exacerbates wasted investment.

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

**["Streamlined Recruitment with Intuitive UI"](https://www.g2.com/survey_responses/loxo-review-11764111)**

**Rating:** 4.5/5.0 stars

_— Albert (Aamir) P._

[Read full review](https://www.g2.com/survey_responses/loxo-review-11764111)

**["Loxo Transforms Our Recruitment Process"](https://www.g2.com/survey_responses/loxo-review-12800941)**

**Rating:** 5.0/5.0 stars

_— Joseline C._

[Read full review](https://www.g2.com/survey_responses/loxo-review-12800941)

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

- [What is your experience with Loxo for recruitment, and how has it impacted your hiring process?](https://www.g2.com/discussions/what-is-your-experience-with-loxo-for-recruitment-and-how-has-it-impacted-your-hiring-process)
- [What is Loxo Talent Intelligence Platform used for?](https://www.g2.com/discussions/what-is-loxo-talent-intelligence-platform-used-for)
- [What is the best recruiting tool?](https://www.g2.com/discussions/what-is-the-best-recruiting-tool)
- [What are the features of recruitment?](https://www.g2.com/discussions/loxo-talent-intelligence-platform-what-are-the-features-of-recruitment)
- [What is LOXO?](https://www.g2.com/discussions/what-is-loxo)

### [Peak](https://www.g2.com/products/peak-peak/reviews)

Peak's AI platform optimizes inventories, pricing and customer personalization for businesses of all sizes. The platform provides a broad feature set that enables technical and commercial teams to build, deploy and manage AI applications at scale across an entire business. It also features a library of AI applications that fit a variety of use cases across sectors including consumer goods, retail and manufacturing. These applications allow users to rapidly apply AI to deliver on commercial objectives, while giving them the tools they need to extend their use of it over time.

**Average Rating:** 4.6/5.0

**Total Reviews:** 5

#### How Do G2 Users Rate Peak?

- **Application:** 8.3/10 (Category avg: 8.5/10)
- **Managed Service:** 6.7/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 6.7/10 (Category avg: 8.2/10)
- **Ease of Admin:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Peak?

- **Seller:** [Peak](https://www.g2.com/sellers/peak)
- **Year Founded:** 2015
- **HQ Location:** Greater Manchester, England, United Kingdom
- **Twitter:** @Peak\_HQ  
6,565 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e51e992c33945ddea250f9b2cf8edeb1054de4a203ea5d43d3822cf7ef392551&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpeak-ai%2F&secure%5Burl_type%5D=linkedin_company_website)  
290 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 80% Large, 20% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users benefit immensely from the **AI integration** in Peak, enhancing inventory management and customer segmentation capabilities.
- Users value the **customizability** of Peak, enabling tailored AI solutions like inventory management and customer segmentation.
- Users benefit from Peak's **innovative AI modules** , particularly in inventory management and customer segmentation.
- Users find Peak's **AI-driven inventory management** effective, enhancing their operational efficiency and meeting diverse demands.
- Users benefit greatly from Peak's **effective AI platform** , particularly its pre-built modules for inventory and customer management.

##### Cons

- Users find **complex automation** challenging, as it limits customization to meet specific business needs effectively.
- Users find **complexity in automation** , limiting flexibility and specificity for their unique business needs and data.
- Users find **data management issues** with Peak, citing constraints in flexibility and automation for specific business needs.
- Users find the **feature limitations** hinder the customization and automation needed for their specific business requirements.
- Users find the **lack of flexibility** in Peak's features limits customization for specific business needs.

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

**["Great to partner with on a project"](https://www.g2.com/survey_responses/peak-review-2509116)**

**Rating:** 5.0/5.0 stars

_— Sam W._

[Read full review](https://www.g2.com/survey_responses/peak-review-2509116)

**["Smart deals are easy to hook up"](https://www.g2.com/survey_responses/peak-review-10354418)**

**Rating:** 4.5/5.0 stars

_— Aditya I._

[Read full review](https://www.g2.com/survey_responses/peak-review-10354418)

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

- [What is Peak.ai Abnormal Demand Response used for?](https://www.g2.com/discussions/what-is-peak-ai-abnormal-demand-response-used-for)

### [Pyramid](https://www.g2.com/products/pyramid-analytics-pyramid/reviews)

Pyramid is a tier one, enterprise-grade Analytics Operating System that scales from single-user self-service analytics to thousand-user centralized deployments—covering simple-but-effective data visualizations to advanced machine learning capabilities. The agnostic Analytics OS features a universal client for any device and OS. It can be installed on most platforms—both on-premises or in the cloud—and it can operate against and with most popular data stacks. Pyramid allows users and organizations to balance self-service productivity and governance. It is an adaptive analytic platform that provides different capabilities and experiences based on user needs and skills, all while managing content as a shared resource. It is designed to support your organization’s entire decision workflow, and give everyone the tools to conduct self-service analytics. Importantly, the Analytics OS solves the “last mile problem,” closing the gap between your organization’s stated analytics strategy and actual analytics implementation. Pyramid features six distinct analytics modules (Model, Formulate, Discover, Illustrate, Present, and Publish)—plus an Administrative Console and Content Management System—to deliver a truly universal analytics experience across the entire analytics workflow.

**Average Rating:** 4.1/5.0

**Total Reviews:** 15

#### How Do G2 Users Rate Pyramid?

- **Application:** 8.3/10 (Category avg: 8.5/10)
- **Managed Service:** 10.0/10 (Category avg: 8.3/10)
- **Natural Language Understanding:** 10.0/10 (Category avg: 8.2/10)
- **Ease of Admin:** 9.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Pyramid?

- **Seller:** [Pyramid Analytics](https://www.g2.com/sellers/pyramid-analytics)
- **Year Founded:** 2008
- **HQ Location:** Amsterdam
- **Twitter:** @PyramidAnalytic  
10,219 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=36f592999b01653e45af7b6d382eb7a6073446f2e04d32dfa99c54edd2315a4f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1919217%2F&secure%5Burl_type%5D=linkedin_company_website)  
104 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 47% Large, 35% Small

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

**["Pyramid is flexible and ready to accommodate any changes with clients requirements."](https://www.g2.com/survey_responses/pyramid-review-5086738)**

**Rating:** 4.5/5.0 stars

_— Verified User in Medical Devices_

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**["Pyramid has a lot to offer and many quick tools for presentation"](https://www.g2.com/survey_responses/pyramid-review-3879861)**

**Rating:** 5.0/5.0 stars

_— Paul H._

[Read full review](https://www.g2.com/survey_responses/pyramid-review-3879861)

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[Browse Data Science and Machine Learning Platforms Themes](/categories/data-science-and-machine-learning-platforms/themes)

 ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry")
BB

Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated April 22, 2026

Data science and machine learning (DSML) platforms provide tools to build, deploy, and monitor machine learning (ML) algorithms by combining data with intelligent, decision-making models to support business solutions. These platforms may offer prebuilt algorithms and visual workflows for nontechnical users or require more advanced development skills for complex model creation.

Core capabilities of data science and machine learning (DSML) software

To qualify for inclusion in the Data Science and Machine Learning (DSML) Platforms category, a product must:

- Present a way for developers to connect data to algorithms so they can learn and adapt
- Allow users to create ML algorithms and offer prebuilt algorithms for novice users
- Provide a platform for deploying AI at scale

How DSML software differs from other tools

DSML platforms differ from traditional platform-as-a-service (PaaS) offerings by providing ML–specific functionality, such as prebuilt algorithms, model training workflows, and automated features that reduce the need for extensive data science expertise.

Insights from G2 Reviews on DSML software

According to G2 review data, users highlight the value of streamlined model development, ease of deployment, and options that support both nontechnical and advanced practitioners through visual interfaces or coding-based workflows.

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