# Best Data Labeling Software for Medium-Sized Businesses

## How Many Data Labeling Software Products Does G2 Track?

**Total Products under this Category:** 116

### Category Stats (Aug 2026)

- **Average Rating:** 4.49/5 (↓0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Datature (+0.08%) - Among all products in this category, Datature recorded the largest rating increase compared to last month

_Last updated: August 07, 2026_

## How Does G2 Rank Data Labeling Software Products?

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

- 30 Analysts and Data Experts
- 1,800+ Authentic Reviews
- 116+ 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 Labeling Software
 ![G2 Grid® for Data Labeling Software plotting products by satisfaction and market presence](https://www.g2.com/categories/data-labeling/grids.png?focus%5B%5D=128515&focus%5B%5D=125020&focus%5B%5D=168222&focus%5B%5D=78925&focus%5B%5D=126287&focus%5B%5D=125450&focus%5B%5D=126603&focus%5B%5D=148414)

Highlighted products: SuperAnnotate, Roboflow, Encord, Labelbox, V7 Darwin, Datasaur, Dataloop, and Kili.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-labeling/grids.json?focus%5B%5D=superannotate&focus%5B%5D=roboflow&focus%5B%5D=encord&focus%5B%5D=labelbox&focus%5B%5D=v7-darwin&focus%5B%5D=datasaur&focus%5B%5D=dataloop-dataloop&focus%5B%5D=kili&segment=mid-market)

**Sponsored**

### Amazon SageMaker

Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment. Key Features and Functionality: - Integrated Development Environments (IDEs): SageMaker offers a unified, web-based interface with built-in IDEs, including JupyterLab and RStudio, facilitating seamless development and collaboration. - Pre-built Algorithms and Frameworks: It includes a selection of optimized ML algorithms and supports popular frameworks like TensorFlow, PyTorch, and Apache MXNet, allowing flexibility in model development. - Automated Model Tuning: SageMaker can automatically tune models to achieve optimal accuracy, reducing the time and effort required for manual adjustments. - Scalable Training and Deployment: The service manages the underlying infrastructure, enabling efficient training of models on large datasets and deploying them across auto-scaling clusters for high availability. - MLOps and Governance: SageMaker provides tools for monitoring, debugging, and managing ML models, ensuring robust operations and compliance with enterprise security standards. Primary Value and Problem Solved: Amazon SageMaker addresses the complexity and resource-intensive nature of developing and deploying ML models. By offering a fully managed environment with integrated tools and scalable infrastructure, it accelerates the ML lifecycle, reduces operational overhead, and enables organizations to derive insights and value from their data more efficiently. This empowers businesses to innovate rapidly and implement AI solutions without the need for extensive in-house expertise or infrastructure management.

[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=2361&secure%5Bchosen_at%5D=2026-08-15T09%3A48%3A24Z&secure%5Bdisplayable_resource_id%5D=2361&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=2361&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=52115&secure%5Bresource_id%5D=2361&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-labeling%2Fmid-market&secure%5Btoken%5D=3120275084271baae1a632659012a96c7226fd6359f7e8b9833528c2b1efd1bf&secure%5Burl%5D=https%3A%2F%2Faws.amazon.com%2Fsagemaker%2F%3Ftrk%3De054ba95-b51d-4594-98bc-aa0239b1797a%26sc_channel%3Ddisplay%2Bads&secure%5Burl_type%5D=custom_url)

### [SuperAnnotate](https://www.g2.com/products/superannotate/reviews)

SuperAnnotate bridges the gap between cutting-edge AI innovation and the high-quality human data that powers it - helping advanced AI teams build more intelligent models. With a global network of thousands of rigorously vetted experts, ethical and scalable managed operations, precise talent matching, and purpose‑built technology, SuperAnnotate delivers full project visibility and unmatched data quality. SuperAnnotate powers complex annotation, evaluation, and reinforcement learning workflows to build, evaluate and align frontier AI. Trusted by innovators like Databricks, IBM and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate enables the world’s top AI teams to build responsible and state‑of‑the‑art models with human data.

**Average Rating:** 4.8/5.0

**Total Reviews:** 354

#### How Do G2 Users Rate SuperAnnotate?

- **Labeler Quality:** 9.6/10 (Category avg: 8.9/10)
- **Object Detection:** 9.4/10 (Category avg: 8.9/10)
- **Data Types:** 9.5/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.5/10 (Category avg: 8.8/10)

#### Who Is the Company Behind SuperAnnotate?

- **Seller:** [SuperAnnotate](https://www.g2.com/sellers/superannotate)
- **Company Website:** superannotate.com
- **Year Founded:** 2018
- **HQ Location:** San Francisco, CA
- **Twitter:** @superannotate  
720 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ed4d3a394b0ca2eaac6c63041f9bd1bf14ee26538d356cd977a2b0f50c15f4d1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F18999422%2F&secure%5Burl_type%5D=linkedin_company_website)  
361 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Student, Data Trainer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 57% Small, 23% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **intuitive interface** of SuperAnnotate, making large-scale annotation projects easy to manage and efficient.
- Users appreciate the **user-friendly interface** of SuperAnnotate, which enhances the efficiency and accuracy of their annotation tasks.
- Users value the **annotation efficiency** of SuperAnnotate, enabling quick, consistent, and high-quality annotations across diverse projects.
- Users commend the **efficiency** of SuperAnnotate, appreciating the time saved and the streamlined annotation process.
- Users value SuperAnnotate for its **high-quality annotations** , ensuring consistent and efficient collaboration and management of projects.

##### Cons

- Users notice **performance issues** with SuperAnnotate, particularly related to loading times and occasional technical glitches.
- Users experience **slow performance** with SuperAnnotate, particularly during image cropping and handling large projects.
- Users find the **difficult learning** curve for advanced features challenging, impacting their overall experience with SuperAnnotate.
- Users find the **complexity of the platform** daunting, particularly for new users navigating advanced features.
- Users find a **lack of guidance** in SuperAnnotate, making it challenging for newcomers to navigate advanced features effectively.

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

**["Easy-to-Use Data Organization and Powerful Image-Splitting Tools"](https://www.g2.com/survey_responses/superannotate-review-13146852)**

**Rating:** 5.0/5.0 stars

_— Doniaa K._

[Read full review](https://www.g2.com/survey_responses/superannotate-review-13146852)

**["Streamlined Data Annotation with Ease"](https://www.g2.com/survey_responses/superannotate-review-13215367)**

**Rating:** 5.0/5.0 stars

_— EMAN S._

[Read full review](https://www.g2.com/survey_responses/superannotate-review-13215367)

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

- [What is your experience with SuperAnnotate for data annotation, and what would you like to see improved?](https://www.g2.com/discussions/what-is-your-experience-with-superannotate-for-data-annotation-and-what-would-you-like-to-see-improved) - 1 comment
- [How do I annotate an image in OpenCV?](https://www.g2.com/discussions/how-do-i-annotate-an-image-in-opencv)
- [Is SuperAnnotate free?](https://www.g2.com/discussions/is-superannotate-free)
- [How do you use SuperAnnotate?](https://www.g2.com/discussions/how-do-you-use-superannotate)
- [What is SuperAnnotate?](https://www.g2.com/discussions/what-is-superannotate) - 1 comment, 2 upvotes

### [Roboflow](https://www.g2.com/products/roboflow/reviews)

Roboflow has everything you need to build and deploy computer vision applications. Over 1,000,000 users from businesses of every size — from startups to public companies — use the company's end-to-end platform for image and video collection, organization, annotation, preprocessing, model training, and deployment. Roboflow provides tools for each step in the computer vision deployment lifecycle and integrates with your existing solutions so you can tailor your pipeline to meet your needs.

**Average Rating:** 4.7/5.0

**Total Reviews:** 155

#### How Do G2 Users Rate Roboflow?

- **Labeler Quality:** 9.0/10 (Category avg: 8.9/10)
- **Object Detection:** 9.1/10 (Category avg: 8.9/10)
- **Data Types:** 8.7/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.3/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Roboflow?

- **Seller:** [Roboflow](https://www.g2.com/sellers/roboflow)
- **Year Founded:** 2019
- **HQ Location:** Remote, US
- **Twitter:** @roboflow  
13,577 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=660f87d85fdd82e0f1cecfe2354a16103bb5a6f5508134496575ec655201678c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F36096640&secure%5Burl_type%5D=linkedin_company_website)  
144 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Founder, Researcher
- **Top Industries:** Computer Software, Research
- **Company Size:** 78% Small, 14% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **intuitive interface** of Roboflow, enabling efficient annotation and seamless collaboration for computer vision projects.
- Users value the **efficiency** of Roboflow, praising its streamlined dataset management that saves time and reduces errors.
- Users appreciate the **annotation efficiency** of Roboflow, enjoying streamlined dataset management that saves time and reduces errors.
- Users appreciate the **easy data labelling process** in Roboflow, which streamlines annotation and enhances team collaboration.
- Users appreciate the **powerful and versatile features** of Roboflow, enhancing academic projects and computer vision tasks.

##### Cons

- Users find Roboflow **expensive** , especially for students, as key features require paid plans for privacy and customization.
- Users note a **lack of features** for advanced analytics and customization on lower-tier plans in Roboflow.
- Users find **limited functionality** in Roboflow, facing challenges like feature restrictions and lack of flexibility in advanced tasks.
- Users experience **annotation issues** with Roboflow, often needing extensive manual adjustments for accuracy and efficiency.
- Users find **inefficient labeling** management cumbersome, needing manual organization and lacking shortcuts for smoother annotation completion.

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

**["Speeds up our agri‑CV research"](https://www.g2.com/survey_responses/roboflow-review-12692685)**

**Rating:** 5.0/5.0 stars

_— Alexey K._

[Read full review](https://www.g2.com/survey_responses/roboflow-review-12692685)

**["Roboflow Makes Computer Vision Projects Easy to Build, Train, and Deploy"](https://www.g2.com/survey_responses/roboflow-review-12984362)**

**Rating:** 5.0/5.0 stars

_— noah r._

[Read full review](https://www.g2.com/survey_responses/roboflow-review-12984362)

### [Encord](https://www.g2.com/products/encord/reviews)

Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data - managing, curating, annotating, and aligning data across the full AI lifecycle. Encord works with over 300 leading AI teams, including Woven by Toyota, Zipline, AXA, and Flock Safety. Confidentially build production AI with rich multimodal data. Encord is SOC 2, AICPA SOC, HIPAA, and GDPR compliant.

**Average Rating:** 4.8/5.0

**Total Reviews:** 65

#### How Do G2 Users Rate Encord?

- **Labeler Quality:** 9.4/10 (Category avg: 8.9/10)
- **Object Detection:** 9.3/10 (Category avg: 8.9/10)
- **Data Types:** 9.7/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.5/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Encord?

- **Seller:** [Encord](https://www.g2.com/sellers/encord)
- **Year Founded:** 2020
- **HQ Location:** San Francisco, US
- **Twitter:** @encord\_team  
1,014 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b5b79c871099fa074d165dec60c3345148d0ae005f29a546864b838e8a7500a8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F69557125&secure%5Burl_type%5D=linkedin_company_website)  
205 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Hospital & Health Care
- **Company Size:** 51% Small, 40% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users commend the **responsive customer support** from Encord, ensuring quick assistance during their project needs.
- Users praise Encord for its **annotation efficiency** , streamlining workflows and enhancing speed in data curation tasks.
- Users value the **intuitive interface and seamless integration** of Encord's annotation tools for efficient data workflow.
- Users appreciate the **efficiency** of Encord, highlighting smooth workflows and quick integration that enhances their productivity.
- Users value Encord's **intuitive interface and seamless integration** , enhancing their workflows with efficient data curation and support.

##### Cons

- Users find **complex automation** challenging, though the supportive team helps navigate the intricacies of custom workflows.
- Users find it challenging to stay current due to **frequent updates** , but support from the team is helpful.
- Users find the **lack of guidance** challenging due to rapid feature updates, despite helpful customer support.

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

**["Strong video labeling platform with excellent support"](https://www.g2.com/survey_responses/encord-review-12281672)**

**Rating:** 5.0/5.0 stars

_— Angela S._

[Read full review](https://www.g2.com/survey_responses/encord-review-12281672)

**["Built for fast model development cycles"](https://www.g2.com/survey_responses/encord-review-12219596)**

**Rating:** 5.0/5.0 stars

_— Brian E._

[Read full review](https://www.g2.com/survey_responses/encord-review-12219596)

### [Labelbox](https://www.g2.com/products/labelbox/reviews)

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products with custom or foundation models, or using AI to automate data tasks or find business insights, Labelbox enables teams to do so effectively and quickly. The platform is used by Fortune 500 enterprises such as Walmart, P&G, Genentech, and Adobe, and hundreds of leading AI teams. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), and Databricks Ventures.

**Average Rating:** 4.5/5.0

**Total Reviews:** 48

#### How Do G2 Users Rate Labelbox?

- **Labeler Quality:** 9.1/10 (Category avg: 8.9/10)
- **Object Detection:** 8.6/10 (Category avg: 8.9/10)
- **Data Types:** 8.8/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.0/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Labelbox?

- **Seller:** [Labelbox](https://www.g2.com/sellers/labelbox)
- **Year Founded:** 2018
- **HQ Location:** San Francisco, California
- **Twitter:** @labelbox  
3,489 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=46b35e20f0b8a1bbee233e1f6d5a6d1a72e4e49ac4f1901248ae276388e42159&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flabelbox%2F&secure%5Burl_type%5D=linkedin_company_website)  
469 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 46% Small, 38% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** of Labelbox, highlighting its simple setup and accessible features for project management.
- Users commend the **easy and fast data labeling** process of Labelbox, enhancing workflow and improving data quality effectively.
- Users enjoy the **efficient project management** capabilities of Labelbox, streamlining tasks and enhancing overall organization.
- Users value the **AI capabilities** of Labelbox for simplifying data labeling and improving model accuracy effectively.
- Users find **easy integrations** with Labelbox, enhancing their experience with a user-friendly interface and quick setup.

##### Cons

- Users express frustration with the **lack of features** , feeling limited by the inability to customize and increase task availability.
- Users experience **slow performance** with Labelbox, especially when working with large datasets and output visualizations.
- Users find Labelbox to have **difficult learning** due to its complexity and slow processing with large datasets.
- Users find Labelbox **expensive** and express concerns about the high cost, especially for small-scale users.
- Users express frustration with the **slow processing** speed of Labelbox, delaying project initiation and overall experience.

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

**["LLM Training at it’s finest!"](https://www.g2.com/survey_responses/labelbox-review-11265400)**

**Rating:** 4.5/5.0 stars

_— Staci T._

[Read full review](https://www.g2.com/survey_responses/labelbox-review-11265400)

**["Professional Interface, Simple Setup, Needs Data Update"](https://www.g2.com/survey_responses/labelbox-review-12625977)**

**Rating:** 4.0/5.0 stars

_— Ashish S._

[Read full review](https://www.g2.com/survey_responses/labelbox-review-12625977)

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

- [How do I create a labeled dataset?](https://www.g2.com/discussions/how-do-i-create-a-labeled-dataset)
- [What is label tool?](https://www.g2.com/discussions/what-is-label-tool)
- [How do I download Labelbox?](https://www.g2.com/discussions/how-do-i-download-labelbox) - 2 comments
- [Is Labelbox open source?](https://www.g2.com/discussions/is-labelbox-open-source)

### [V7 Darwin](https://www.g2.com/products/v7-darwin/reviews)

V7 Darwin is a specialized AI platform for creating high-quality training data and managing annotation workflows. It is engineered for teams building sophisticated computer vision models and solving complex, domain-specific challenges with AI. V7 Darwin provides a comprehensive suite of tools for data labeling, video annotation, and medical imaging annotation. - Create pixel-perfect image and video annotations with Auto-Annotate and SAM for semantic masks, instance segmentation, keypoints, and polygons. - Develop medical AI with tools for DICOM, NIfTI, and WSI annotation, featuring an interface with MPR, 3D rendering, precise crosshairs, windowing, and oblique views. - Accelerate video annotation by up to 10x with AI-assisted auto-tracking for objects across frames. - Manage long videos, multi-camera views, and nested annotation classes. - Design multi-stage review workflows with conditional logic, consensus, and task assignment for your data labeling pipeline. - Organize, filter, and manage large datasets with custom views and tags, enabling real-time team collaboration for annotators, reviewers, and ML engineers. - Scale your annotation projects with professional data labeling services, including certified annotators and experts in various domains (medical, video, LLMs, scientific). You can seamlessly integrate V7 Darwin with your existing tech stack and import/export annotations with ease. Get complete control over your models, tasks, and datasets through the open API, Darwin-py SDK, and CLI.

**Average Rating:** 4.7/5.0

**Total Reviews:** 55

#### How Do G2 Users Rate V7 Darwin?

- **Labeler Quality:** 9.4/10 (Category avg: 8.9/10)
- **Object Detection:** 9.4/10 (Category avg: 8.9/10)
- **Data Types:** 9.2/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.5/10 (Category avg: 8.8/10)

#### Who Is the Company Behind V7 Darwin?

- **Seller:** [V7](https://www.g2.com/sellers/v7)
- **Year Founded:** 2018
- **HQ Location:** London, England
- **Twitter:** @v7labs  
3,471 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=de877e1b154c6b0c137e7416f2b5d21ab1d53e5f5fc06f8706ec44d415a22436&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fv7labs%2F&secure%5Burl_type%5D=linkedin_company_website)  
106 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 55% Small, 35% Medium

#### What Do G2 Reviewers Say About V7 Darwin?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **ease of use** of V7 Darwin, simplifying annotation and project management with an intuitive interface.
- Users value the **annotation efficiency** of V7 Darwin, enabling easy labeling of complex datasets and improving productivity.
- Users find the **automatic annotation tools** of V7 Darwin extremely helpful for easy and efficient dataset labeling.
- Users value the **innovative LLM integration** in V7 Darwin, enhancing spreadsheet functionality with rich content support.
- Users commend the **efficiency** of V7 Darwin, streamlining HR processes and enhancing productivity through automation.

##### Cons

- Users find the **lack of features** frustrating, especially regarding annotation management and export options for datasets.
- Users find **missing features** like lacking retraction options and limited export formats frustrating in V7 Darwin.
- Users find the **limited features** of V7 Darwin frustrating, desiring more flexibility in annotations and dataset manipulation.
- Users are frustrated by the **annotation issues** that hinder their ability to retract or approve submissions smoothly.
- Users find the **difficult navigation** of V7 Darwin frustrating, as it hampers their ability to utilize features effectively.

#### What Are Recent G2 Reviews of V7 Darwin?

**["Comprehensive HRMS for End-to-End Employee Lifecycle Management"](https://www.g2.com/survey_responses/v7-darwin-review-11727041)**

**Rating:** 4.0/5.0 stars

_— Shiv S._

[Read full review](https://www.g2.com/survey_responses/v7-darwin-review-11727041)

**["Easy Video Annotation and Predictive Labeling for Massive Datasets"](https://www.g2.com/survey_responses/v7-darwin-review-12700843)**

**Rating:** 4.5/5.0 stars

_— Jed D._

[Read full review](https://www.g2.com/survey_responses/v7-darwin-review-12700843)

#### What Are G2 Users Discussing About V7 Darwin?

- [What is V7 used for?](https://www.g2.com/discussions/what-is-v7-used-for)

### [Datasaur](https://www.g2.com/products/datasaur/reviews)

Datasaur offers the most intuitive interface for all your Natural Language Processing related tasks.

**Average Rating:** 4.5/5.0

**Total Reviews:** 66

#### How Do G2 Users Rate Datasaur?

- **Labeler Quality:** 8.9/10 (Category avg: 8.9/10)
- **Object Detection:** 8.3/10 (Category avg: 8.9/10)
- **Data Types:** 8.6/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.2/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Datasaur?

- **Seller:** [Datasaur](https://www.g2.com/sellers/datasaur)
- **Year Founded:** 2019
- **HQ Location:** San Francisco Bay Area, California
- **Twitter:** @datasaurai  
261 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=07e24f5105db75a643ab99013e56cec5bb628429f73712ae498f72c63729a68a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatasaur%2F&secure%5Burl_type%5D=linkedin_company_website)  
67 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 36% Medium, 35% Small

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

**["Datasaur Delivers Strong Data Privacy and Secure, Flexible Deployment"](https://www.g2.com/survey_responses/datasaur-review-13227124)**

**Rating:** 4.5/5.0 stars

_— Vaishnavi D._

[Read full review](https://www.g2.com/survey_responses/datasaur-review-13227124)

**["Streamlining Enterprise AI Data Workflows"](https://www.g2.com/survey_responses/datasaur-review-13182886)**

**Rating:** 5.0/5.0 stars

_— Vikas K._

[Read full review](https://www.g2.com/survey_responses/datasaur-review-13182886)

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

- [What is Datasaur used for?](https://www.g2.com/discussions/what-is-datasaur-used-for) - 1 comment, 1 upvote

### [Dataloop](https://www.g2.com/products/dataloop-dataloop/reviews)

Dataloop is a cutting-edge AI Development Platform that's transforming the way organizations build AI applications. Our platform is meticulously crafted to cater to developers at the heart of the AI development process, making it simpler and more intuitive to work with data and AI models. Our comprehensive solution spans the full AI development lifecycle, offering tools and functionalities that streamline data management, annotation, model selection, and deployment. Dataloop's platform is built with a focus on collaboration, allowing developers, data scientists, and engineers to work together seamlessly, breaking down traditional silos and fostering innovation. Key features include an intuitive drag-and-drop interface for constructing data pipelines, a vast library of pre-built AI elements and models, and robust data curation and annotation capabilities. These features are designed to empower developers to rapidly prototype, iterate, and deploy AI solutions, keeping pace with the fast-evolving demands of the market. Dataloop is committed to advancing AI development by providing a developer-centric platform that addresses the complexities and challenges of AI and data management. Our vision is to democratize AI development, enabling every organization to harness the power of AI and drive forward their innovative solutions.

**Average Rating:** 4.4/5.0

**Total Reviews:** 87

#### How Do G2 Users Rate Dataloop?

- **Labeler Quality:** 8.8/10 (Category avg: 8.9/10)
- **Object Detection:** 9.2/10 (Category avg: 8.9/10)
- **Data Types:** 9.2/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.8/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Dataloop?

- **Seller:** [Dataloop](https://www.g2.com/sellers/dataloop)
- **Year Founded:** 2017
- **HQ Location:** Herzliya, IL
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=da9efd7c177fd7b05cc561f5bccd297b04f67ce9561db7a8c8492155b1c98891&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdataloop&secure%5Burl_type%5D=linkedin_company_website)  
52 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 39% Medium, 33% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Dataloop, finding the intuitive UI and annotation simple and effective.
- Users appreciate the **annotation efficiency** of Dataloop, enjoying a simple interface that enhances the overall experience.
- Users value the **easy annotation** capabilities of Dataloop, benefitting from its simple and intuitive interface.
- Users love the **simple and easy-to-navigate interface** of Dataloop, enhancing their overall experience with the tool.
- Users appreciate the **easy integrations** of Dataloop, enhancing their existing workflows effortlessly.

##### Cons

- Users find the **UI changes complicated** , making the overall experience with Dataloop less intuitive.
- Users find the **confusing syntax** of Dataloop frustrating, particularly after recent UI changes that impacted usability.
- Users find the **difficult navigation** due to UI changes to be confusing, impacting their overall experience.
- Users feel that the **lack of communication** from the community is hindering their overall experience with Dataloop.
- Users feel the lack of a **demo section for first-time users** hinders their onboarding experience with Dataloop.

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

**["I have had a smooth and convenient time every day I am working on Dataloop"](https://www.g2.com/survey_responses/dataloop-review-9624539)**

**Rating:** 5.0/5.0 stars

_— Mzamil J._

[Read full review](https://www.g2.com/survey_responses/dataloop-review-9624539)

**["A journey into Data workflow with Dataloop."](https://www.g2.com/survey_responses/dataloop-review-9633025)**

**Rating:** 4.0/5.0 stars

_— Dennis R._

[Read full review](https://www.g2.com/survey_responses/dataloop-review-9633025)

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

- [What are data annotations?](https://www.g2.com/discussions/dataloop-what-are-data-annotations) - 1 comment
- [What are data annotations?](https://www.g2.com/discussions/what-are-data-annotations) - 1 comment
- [Is Dataloop free?](https://www.g2.com/discussions/dataloop-is-dataloop-free) - 1 comment
- [Is Dataloop free?](https://www.g2.com/discussions/is-dataloop-free) - 1 comment
- [What are the industries that Dataloop supports?](https://www.g2.com/discussions/dataloop-what-are-the-industries-that-dataloop-supports) - 1 comment

### [Kili](https://www.g2.com/products/kili/reviews)

Kili Technology is a collaborative AI data platform designed to meet the rigorous needs of building large-scale production-ready AI data securely. Founded in Paris in 2018, Kili Technology caters to a diverse range of industries, including healthcare, financial services, manufacturing, defense, and technology. The platform is engineered to support teams of varying sizes, accommodating anywhere from 1 to over 500 concurrent users, and processes millions of assets annually. The core functionality of Kili Technology lies in its ability to facilitate collaboration among cross-functional teams. Unlike traditional labeling tools that primarily serve machine learning engineers, Kili connects data science teams with business stakeholders and subject matter experts. This integration enhances the AI development lifecycle by streamlining processes from annotation and labeling to validation and model feedback. As a result, users can ensure that the data used for training AI models is not only accurate but also relevant to the specific business context. Kili Technology is particularly beneficial for organizations looking to harness the power of AI while maintaining a high level of data quality. The platform supports various data modalities, allowing teams to work with text, images, audio, and video data seamlessly. This versatility makes it suitable for a wide range of applications, from developing natural language processing models to image recognition systems. By fostering collaboration among different roles within an organization, Kili enhances the overall efficiency of the AI development process. Key features of Kili Technology include an intuitive user interface that simplifies the labeling process, robust tools for data validation, and comprehensive feedback mechanisms that enable continuous improvement of AI models. Additionally, the platform offers advanced analytics capabilities, allowing teams to track progress and identify areas for enhancement. These features collectively empower organizations to build high-quality training datasets that meet the demands of complex AI applications. Kili Technology stands out in the competitive landscape of AI data platforms by prioritizing collaboration and usability. By bridging the gap between technical and non-technical stakeholders, it ensures that the development of AI solutions is a cohesive effort. This approach not only accelerates the time to market for AI initiatives but also enhances the overall quality of the training data, ultimately leading to more effective AI models.

**Average Rating:** 4.7/5.0

**Total Reviews:** 52

#### How Do G2 Users Rate Kili?

- **Labeler Quality:** 9.2/10 (Category avg: 8.9/10)
- **Object Detection:** 9.2/10 (Category avg: 8.9/10)
- **Data Types:** 9.2/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.9/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Kili?

- **Seller:** [Kili Technology](https://www.g2.com/sellers/kili-technology)
- **Company Website:** kili-technology.com
- **Year Founded:** 2018
- **HQ Location:** Paris, FR
- **Twitter:** @Kili\_Technology  
438 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=528a4a4dc014455d66d25ef4421bc2e8c6ca341820ef9e1a434c4f0e6a6e0e80&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F33266852&secure%5Burl_type%5D=linkedin_company_website)  
48 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 38% Medium, 34% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **ease of use** of Kili's annotation platform and appreciate its comprehensive metrics for projects.
- Users value the **ease of use** and precise metrics for comprehensive project visualization on Kili's annotation platform.
- Users love the **ease of use** offered by Kili, enhancing their annotation experience significantly.
- Users love the **variety of models** available on Kili, enhancing their annotation projects with tailored solutions.

##### Cons

- Users feel that Kili lacks **adequate content updates** , limiting the platform's overall utility and engagement.
- Users feel Kili lacks **adequate content updates** , limiting their overall experience and engagement with the platform.

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

**["Intuitive UX and Quick Installation"](https://www.g2.com/survey_responses/kili-review-12342244)**

**Rating:** 5.0/5.0 stars

_— Hery R._

[Read full review](https://www.g2.com/survey_responses/kili-review-12342244)

**["Ease of Use and Exceptional Efficiency"](https://www.g2.com/survey_responses/kili-review-12354373)**

**Rating:** 5.0/5.0 stars

_— Lantosoa V._

[Read full review](https://www.g2.com/survey_responses/kili-review-12354373)

### [Keymakr](https://www.g2.com/products/keymakr/reviews)

We are a data labeling company that focuses on providing high quality annotation services and excellent customer support. We are the best choice for: Image Annotation Video Annotation Data validation Document Annotation Data Creation Data Collection Our company creates best-in-class computer vision training data. We offer an in-house team paired with advanced proprietary annotation tools. Scalable and secure one-stop shop for your AI

**Average Rating:** 4.8/5.0

**Total Reviews:** 45

#### How Do G2 Users Rate Keymakr?

- **Labeler Quality:** 9.4/10 (Category avg: 8.9/10)
- **Object Detection:** 9.7/10 (Category avg: 8.9/10)
- **Data Types:** 9.7/10 (Category avg: 8.9/10)
- **Ease of Use:** 9.2/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Keymakr?

- **Seller:** [Keymakr](https://www.g2.com/sellers/keymakr)
- **Year Founded:** 2015
- **HQ Location:** New York, NY
- **Twitter:** @keymakr\_com  
354 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5fb808098ef63b965158417815d66f2ac2810beadbf8235c0f26f8875a0b72ae&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkeymakr%2F&secure%5Burl_type%5D=linkedin_company_website)  
69 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 52% Small, 22% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users commend Keymakr for their **exceptional customer support** , highlighting fast responses and a proactive service approach.
- Users appreciate Keymakr's **efficiency** in integrating with workflows, streamlining processes, and enhancing productivity effortlessly.
- Users find the **initial setup incredibly easy** , enjoying a smooth start with Keymakr's efficient implementation process.
- Users value the **efficient annotation process** of Keymakr, enhancing workflow and ensuring quality results quickly.
- Users value the **excellent data management** of Keymakr, appreciating the team's commitment to quality and client satisfaction.

##### Cons

- Users find the **difficult setup** challenging, with convoluted navigation and connection issues during initial use.
- Users face **recurring annotation mistakes** , though improvements in data quality and processes have enhanced results over time.
- Users face challenges with **complex UI navigation** and initial setup, particularly with S3 connectivity.
- Users find the **limited customization** of Keymakr frustrating, particularly the inability to change passwords independently.

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

**["Accurate Annotation, Valuable Results"](https://www.g2.com/survey_responses/keymakr-review-11103169)**

**Rating:** 4.5/5.0 stars

_— Rinat L._

[Read full review](https://www.g2.com/survey_responses/keymakr-review-11103169)

**["A true Partner in Image Recognition"](https://www.g2.com/survey_responses/keymakr-review-11968704)**

**Rating:** 5.0/5.0 stars

_— Yacine B._

[Read full review](https://www.g2.com/survey_responses/keymakr-review-11968704)

### [BasicAI Data Annotation Platform](https://www.g2.com/products/basicai-data-annotation-platform/reviews)

BasicAI Data Annotation Platform (https://www.basic.ai/basicai-cloud-data-annotation-platform) is an All-in-One Smart Data Annotation Platform with strong multimodal feature and AI-powered annotation tools that supports: - Auto-annotation and objects tracking of 3D point cloud (single frame & frame series), 2D & 3D sensor fusion, images and video (consecutive images) data - Auto-segmentation of 3D point cloud data - Smooth annotation teamwork, including management of workflow, performance roles & permission, etc. - No-lag annotation of up to 150 million points in 300 frame in one point cloud data, as well as 1,000 images in one 2D data.

**Average Rating:** 4.4/5.0

**Total Reviews:** 36

#### How Do G2 Users Rate BasicAI Data Annotation Platform?

- **Labeler Quality:** 8.9/10 (Category avg: 8.9/10)
- **Object Detection:** 8.8/10 (Category avg: 8.9/10)
- **Data Types:** 8.8/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.5/10 (Category avg: 8.8/10)

#### Who Is the Company Behind BasicAI Data Annotation Platform?

- **Seller:** [BasicAI](https://www.g2.com/sellers/basicai)
- **Year Founded:** 2019
- **HQ Location:** Irvine, CA
- **Twitter:** @BasicAIteam  
94 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ba3eaa059c8a7a084ee6d21cabec11709f9de9ae920b2d714211aee952d8cd09&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbasicaius%2Fabout%2F%3FviewAsMember%3Dtrue&secure%5Burl_type%5D=linkedin_company_website)  
16 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 44% Small, 31% Medium

#### What Are Recent G2 Reviews of BasicAI Data Annotation Platform?

**["User Friendly"](https://www.g2.com/survey_responses/basicai-data-annotation-platform-review-9440485)**

**Rating:** 4.5/5.0 stars

_— Rahul D._

[Read full review](https://www.g2.com/survey_responses/basicai-data-annotation-platform-review-9440485)

**["Very Likely"](https://www.g2.com/survey_responses/basicai-data-annotation-platform-review-9440455)**

**Rating:** 5.0/5.0 stars

_— Vineeth V._

[Read full review](https://www.g2.com/survey_responses/basicai-data-annotation-platform-review-9440455)

#### What Are G2 Users Discussing About BasicAI Data Annotation Platform?

- [What are the 5 components of AI?](https://www.g2.com/discussions/what-are-the-5-components-of-ai)
- [What are the basic functions of AI?](https://www.g2.com/discussions/what-are-the-basic-functions-of-ai)
- [What are the basic elements of AI programs?](https://www.g2.com/discussions/what-are-the-basic-elements-of-ai-programs)
- [What are the main features of AI?](https://www.g2.com/discussions/what-are-the-main-features-of-ai)

### [Swivl](https://www.g2.com/products/swivl/reviews)

The Only AI Assistant for Self Storage. 80% of your repetitive tasks on autopilot. swivl augments your existing team to understand what works and automatically tune property-level decisions every day to attract ready-to-lease customers. Our self storage AI assistant can answer common questions, identify and qualify new leads, and get them to the lease that meets their needs. Automation is the future of self storage. In the age of hyper-informed, store-anywhere consumer, your business needs to be always on, data driven, and customer-centered. Your renters demand it.

**Average Rating:** 4.2/5.0

**Total Reviews:** 16

#### How Do G2 Users Rate Swivl?

- **Labeler Quality:** 7.6/10 (Category avg: 8.9/10)
- **Object Detection:** 7.7/10 (Category avg: 8.9/10)
- **Data Types:** 7.9/10 (Category avg: 8.9/10)
- **Ease of Use:** 8.0/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Swivl?

- **Seller:** [Swivl](https://www.g2.com/sellers/swivl)
- **Year Founded:** 2018
- **HQ Location:** Atlanta, Georgia
- **Twitter:** @tryswivl  
438 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d40ee524f5ee65e7010ad0502550641cf3c22f90c93a95081b2e4465f00af619&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F27000747&secure%5Burl_type%5D=linkedin_company_website)  
16 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 88% Medium, 19% Small

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

**["What a useful tool!"](https://www.g2.com/survey_responses/swivl-review-8204683)**

**Rating:** 4.0/5.0 stars

_— Trisha J._

[Read full review](https://www.g2.com/survey_responses/swivl-review-8204683)

**["Great working and interacting platform"](https://www.g2.com/survey_responses/swivl-review-7953742)**

**Rating:** 4.5/5.0 stars

_— Naman S._

[Read full review](https://www.g2.com/survey_responses/swivl-review-7953742)

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