Best Data Labeling Software - Page 3

How Many Data Labeling Software Products Does G2 Track?

Total Products under this Category: 139

Category Stats (Oct 2026)

  • Average Rating: 4.51/5 (↑0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Snorkel AI (+1.52%) - Among all products in this category, Snorkel AI recorded the largest rating increase compared to last month

Last updated: October 01, 2026

How Does G2 Rank Data Labeling Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 1,900+ Authentic Reviews
  • 139+ 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

Highlighted products: SuperAnnotate, Roboflow, Encord, Datasaur, Amazon Sagemaker Ground Truth, CVAT, Labelbox, and Clarifai.

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=datasaur&focus%5B%5D=amazon-sagemaker-ground-truth&focus%5B%5D=cvat&focus%5B%5D=labelbox&focus%5B%5D=clarifai)

super.AI

Super.AI Intelligent Document Processing (IDP) extracts data from any document, ensuring seamless automation, reduced costs, and smarter decisions. 91-99%+ Accuracy $100M+ in Costs Saved 1M+Hours Saved Trusted by industry leaders like Bureau Veritas, Aldi, Accenture, Saint Gobain, Siemens, Nexi, Lano and more. Our AI automatically processes: Logistics Documents Airway Bill, Bills of Lading (BOLs), Delivery Notes, Packing Slips, and countless others. Operational & Production Documents Work Orders, Job Sheets, Production Schedules, Inventory Reports, etc. Contracts & Legal Agreements Supplier Contracts, Service Agreements, Customer Contracts, among others. Financial & Transactional Documents Invoices, Receipts, Purchase Orders, and more. Identity & Authorization Documents Employee IDs, Permits, and Access Forms, to name a few. Other Super.AI processes any document type, there’s no limit to what we can automate.

Average Rating: 4.6/5.0

Total Reviews: 12

How Do G2 Users Rate super.AI?

  • Labeler Quality: 8.3/10 (Category avg: 8.9/10)
  • Object Detection: 9.2/10 (Category avg: 8.9/10)
  • Data Types: 9.2/10 (Category avg: 8.8/10)
  • Ease of Use: 8.1/10 (Category avg: 8.8/10)

Who Is the Company Behind super.AI?

  • Seller: super.AI
  • Year Founded: 2018
  • HQ Location: Bellevue, Washington
  • Twitter: @mysuperai
    401 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    48 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 42% Small

What Do G2 Reviewers Say About super.AI?

AI-generated summary from verified user reviews

Pros
  • Users find Super.AI to be extremely helpful, streamlining content creation and minimizing the need for human effort.

What Are Recent G2 Reviews of super.AI?

What Are G2 Users Discussing About super.AI?

Innotescus Video and Image Annotation Platform

Innotescus is a collaborative video and image annotation platform built to streamline Computer Vision development processes via seamless data handling, smart annotation tools, and intuitive collaboration features. Additionally, its data visualization tools and cross-functional collaboration features identify data bias early, improve data accuracy, and enable faster, cost-efficient deployment of high-performance Artificial Intelligence.

Average Rating: 4.8/5.0

Total Reviews: 10

How Do G2 Users Rate Innotescus Video and Image Annotation Platform?

  • Labeler Quality: 8.3/10 (Category avg: 8.9/10)
  • Object Detection: 10.0/10 (Category avg: 8.9/10)
  • Data Types: 10.0/10 (Category avg: 8.8/10)
  • Ease of Use: 9.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Innotescus Video and Image Annotation Platform?

  • Seller: Innotescus
  • Year Founded: 2018
  • HQ Location: Pittsburgh
  • Twitter: @innotescus
    124 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 70% Small, 10% Large

What Are Recent G2 Reviews of Innotescus Video and Image Annotation Platform?

What Are G2 Users Discussing About Innotescus Video and Image Annotation Platform?

Swivl

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: 8.8/10)
  • Ease of Use: 8.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Swivl?

  • Seller: Swivl
  • Year Founded: 2018
  • HQ Location: Atlanta, Georgia
  • Twitter: @tryswivl
    438 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15 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?

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Jaxon.ai

Jaxon’s an AI platform that guides data science teams through the research-design-build process. It combines formal reasoning with an LLM-driven agent to ensure data science teams adhere to best practices. Jaxon explores tradeoffs using simulations to quickly figure out what will work best for each use case. Jaxon continuously improves by accumulating usage patterns and retraining itself on what works and when.

Average Rating: 4.5/5.0

Total Reviews: 12

How Do G2 Users Rate Jaxon.ai?

  • Labeler Quality: 8.1/10 (Category avg: 8.9/10)
  • Object Detection: 8.0/10 (Category avg: 8.9/10)
  • Data Types: 8.1/10 (Category avg: 8.8/10)
  • Ease of Use: 7.9/10 (Category avg: 8.8/10)

Who Is the Company Behind Jaxon.ai?

  • Seller: Jaxon.AI
  • Year Founded: 2017
  • HQ Location: Boston, US
  • LinkedIn® Page: www.linkedin.com
    35 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 58% Small, 25% Medium

What Are Recent G2 Reviews of Jaxon.ai?

Predictly

Predictly Tech Labs aims to enhance the usage and adoption of Artificial Intelligence technologies into different industries to experience its benefits in their products and services. For this reason, Predictly provides various kinds of services to their clients, such as data annotation, datasets, Pre-trained models, AI-transformation services.

Average Rating: 4.4/5.0

Total Reviews: 15

How Do G2 Users Rate Predictly?

  • Labeler Quality: 8.6/10 (Category avg: 8.9/10)
  • Object Detection: 6.7/10 (Category avg: 8.9/10)
  • Data Types: 7.2/10 (Category avg: 8.8/10)
  • Ease of Use: 8.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Predictly?

Who Uses This Product?

  • Company Size: 53% Large, 33% Medium

What Are Recent G2 Reviews of Predictly?

Ango Hub

For organizations driving advancements in traditional AI and generative AI, iMerit delivers comprehensive, software-delivered solutions that encompass high-quality data annotation, enrichment, and model fine-tuning across multimodal datasets, including text, images, audio, video, and sensor data. By combining state-of-the-art technology with human expertise, iMerit empowers businesses to develop precise AI models, from traditional supervised learning systems to cutting-edge generative AI applications. Unlike generic service providers, iMerit specializes in secure, scalable, and domain-specific solutions, enabling innovation and performance in the most demanding AI and machine learning initiatives. For developers of traditional AI applications iMerit provides best in class data annotation tooling, workflow automation and a highly skilled workforce within a single end-to-end solution. The unique combination of technology, talent and techniques produces the highest quality data in the industry for machine learning. For developers of Generative AI applications iMerit provides the tools, automation and domain experts for accurate model evaluation and fine turning. The solution combines the technology and human-in-the-loop domain experts for all forms of supervised reinforcement learning. Services include corpus creation, data augmentation, RLHF, RAG fine tuning, chain of thought reasoning and red-teaming for greater model precision. Visit www.imerit.net to learn more.

Average Rating: 4.8/5.0

Total Reviews: 11

How Do G2 Users Rate Ango Hub?

  • Labeler Quality: 6.7/10 (Category avg: 8.9/10)
  • Object Detection: 6.7/10 (Category avg: 8.9/10)
  • Data Types: 6.7/10 (Category avg: 8.8/10)
  • Ease of Use: 8.3/10 (Category avg: 8.8/10)

Who Is the Company Behind Ango Hub?

  • Seller: iMerit Technology
  • Year Founded: 2012
  • HQ Location: San Jose, California, United States
  • Twitter: @iMeritDigital
    1,654 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    6,415 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 25% Large

What Do G2 Reviewers Say About Ango Hub?

AI-generated summary from verified user reviews

Pros
  • Users value the AI integration capabilities of Ango Hub, enhancing their projects with synchronized, high-quality labeled data.
  • Users value the annotation efficiency of Ango Hub, enabling streamlined and synchronized labeling for complex AI/ML projects.
  • Users value the customization features of Ango Hub, facilitating tailored solutions for complex AI/ML annotation projects.
  • Users value the high-quality labeled data provided by Ango Hub, enhancing accuracy in their AI/ML projects.
  • Users appreciate Ango Hub's ability to manage high-quality labeled data effectively for complex AI/ML projects.
Cons
  • Users find the complexity of the platform may necessitate dedicated training to navigate effectively.
  • The steep learning curve of Ango Hub necessitates dedicated training for users to effectively navigate the platform.

What Are Recent G2 Reviews of Ango Hub?

What Are G2 Users Discussing About Ango Hub?

TrainingData.io

Model assisted image and video training data labeling for radiology, pathology and other forms of medical data used for building machine learning models. The #1 tool trusted by medical companies, research scientists and technicians.

Average Rating: 4.1/5.0

Total Reviews: 10

How Do G2 Users Rate TrainingData.io?

  • Labeler Quality: 7.8/10 (Category avg: 8.9/10)
  • Object Detection: 9.0/10 (Category avg: 8.9/10)
  • Data Types: 8.3/10 (Category avg: 8.8/10)
  • Ease of Use: 7.1/10 (Category avg: 8.8/10)

Who Is the Company Behind TrainingData.io?

  • Seller: TrainingData.io
  • Year Founded: 2021
  • HQ Location: Palo Alto, California
  • Twitter: @TrainingDataIO
    5 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 60% Small, 30% Medium

What Are Recent G2 Reviews of TrainingData.io?

What Are G2 Users Discussing About TrainingData.io?

Snorkel AI

Snorkel AI offers a data-centric AI platform designed to accelerate the development of machine learning models by automating the data labeling process. By leveraging programmatic labeling techniques, Snorkel AI enables organizations to create high-quality, specialized datasets efficiently, reducing the time and effort traditionally required for manual data annotation. This approach facilitates rapid iteration and adaptation of AI models, ensuring they remain effective as data and business needs evolve. Key Features and Functionality: - Programmatic Data Labeling: Automates the data annotation process, allowing users to generate labeled datasets quickly and accurately. - Expert Data-as-a-Service: Provides curated, high-quality training and evaluation datasets tailored to specific customer requirements. - Integrated Model Development: Offers tools for training, evaluating, and fine-tuning machine learning models within the platform. - Collaborative Platform: Facilitates seamless collaboration between data scientists and domain experts through user-friendly interfaces and workflows. - Flexible Deployment: Supports various deployment options, including private cloud, public cloud, and on-premises, ensuring compatibility with existing infrastructure. Primary Value and Problem Solved: Snorkel AI addresses the significant bottleneck in AI development caused by the time-consuming and labor-intensive process of manual data labeling. By automating this process through programmatic labeling, the platform enables organizations to develop and deploy AI applications 10 to 100 times faster than traditional methods. This efficiency allows businesses to harness the power of AI more effectively, adapting quickly to changing data and market conditions while maintaining high model accuracy and performance.

Average Rating: 4.3/5.0

Total Reviews: 9

How Do G2 Users Rate Snorkel AI?

  • Labeler Quality: 9.3/10 (Category avg: 8.9/10)
  • Object Detection: 9.6/10 (Category avg: 8.9/10)
  • Data Types: 8.3/10 (Category avg: 8.8/10)
  • Ease of Use: 8.9/10 (Category avg: 8.8/10)

Who Is the Company Behind Snorkel AI?

  • Seller: Snorkel
  • Year Founded: 2019
  • HQ Location: Redwood City, US
  • LinkedIn® Page: www.linkedin.com
    1,314 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 33% Medium, 33% Small

What Are Recent G2 Reviews of Snorkel AI?

Supervisely Computer Vision Platform

Supervisely Enterprise is fully self-hosted and cloud frendly: install it on your servers or in the cloud, keep everything private. We provide API, SDK and backend source codes. So it is highly customizable and can be integrated into any technology stack.

Average Rating: 4.7/5.0

Total Reviews: 9

How Do G2 Users Rate Supervisely Computer Vision Platform?

  • Labeler Quality: 9.0/10 (Category avg: 8.9/10)
  • Object Detection: 8.3/10 (Category avg: 8.9/10)
  • Data Types: 9.3/10 (Category avg: 8.8/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Supervisely Computer Vision Platform?

  • Seller: Supervisely
  • Year Founded: 2017
  • HQ Location: Tallinn, Harjumaa
  • Twitter: @supervisely_ai
    120 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    13 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 40% Medium, 40% Small

What Are Recent G2 Reviews of Supervisely Computer Vision Platform?

What Are G2 Users Discussing About Supervisely Computer Vision Platform?

Superb AI Suite

Superb AI provides the most advanced computer vision platform that makes data preparation, curation and model deployment faster and easier than ever before. Specializing in adaptable automation for labeling, curation and model diagnosis, our solutions help companies drastically reduce the time and cost of building and deploying computer vision models.

Average Rating: 4.7/5.0

Total Reviews: 6

How Do G2 Users Rate Superb AI Suite?

  • Labeler Quality: 9.7/10 (Category avg: 8.9/10)
  • Object Detection: 9.0/10 (Category avg: 8.9/10)
  • Data Types: 9.0/10 (Category avg: 8.8/10)
  • Ease of Use: 9.3/10 (Category avg: 8.8/10)

Who Is the Company Behind Superb AI Suite?

  • Seller: Superb AI, Inc
  • Year Founded: 2018
  • HQ Location: San Mateo , US
  • Twitter: @superb_hq
    419 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    57 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of Superb AI Suite?

M47 AI

M47 AI is a powerful AI Data Training platform for Natural Language Processing projects. It is designed to simplify, speed up and consolidate the dataset lifecycle for Machine Learning and NLP based applications. Create the Training Data for your NLP model in the cloud and easily internationalize your ML language model for multiple countries and use cases. Use the cloud platform with your own team or use our international team of NLP engineers and professional annotators covering more than 40 languages. With M47 AI, you can: - Create, manage and upload datasets and perform ML-driven quality assurance checks - Annotate text, audios, documents & images to create Training Data for more than 20 different customized business cases. - Request on demand Data and Model Training services in more than 40 languages - Use state-of-the-art AI models to detect and clean ML bias - Use our model hub to connect to Hugging Face and test and run the latest ML models or import your own. - Monitor metrics & performance on every step in the training process - Manage internal and external teams, track progress and consolidate dataset generation efforts - Custom build APIs to easily integrate with your existing data pipeline and MLOps Try out now for free our AI Data Platform.

Average Rating: 4.8/5.0

Total Reviews: 5

How Do G2 Users Rate M47 AI?

  • Labeler Quality: 10.0/10 (Category avg: 8.9/10)
  • Object Detection: 10.0/10 (Category avg: 8.9/10)
  • Data Types: 10.0/10 (Category avg: 8.8/10)
  • Ease of Use: 10.0/10 (Category avg: 8.8/10)

Who Is the Company Behind M47 AI?

  • Seller: M47 Labs
  • Year Founded: 2018
  • HQ Location: Barcelona, ES
  • Twitter: @M47Labs
    65 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    177 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 40% Small, 40% Medium

What Are Recent G2 Reviews of M47 AI?

Diffgram Training Data Software

Standard, Safe, Flexible AI Data Annotation, Catalog, & Workflow

Average Rating: 5.0/5.0

Total Reviews: 4

How Do G2 Users Rate Diffgram Training Data Software?

  • Labeler Quality: 9.4/10 (Category avg: 8.9/10)
  • Object Detection: 10.0/10 (Category avg: 8.9/10)
  • Data Types: 9.4/10 (Category avg: 8.8/10)
  • Ease of Use: 9.6/10 (Category avg: 8.8/10)

Who Is the Company Behind Diffgram Training Data Software?

  • Seller: Diffgram
  • Year Founded: 2018
  • HQ Location: N/A
  • Twitter: @diffgram
    91 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of Diffgram Training Data Software?

What Are G2 Users Discussing About Diffgram Training Data Software?

DagsHub

DagsHub is a platform that allows you to easily create high-quality datasets for better model performance A single AI platform to curate vision, audio, and document data - automate labeling workflows, and evaluate models. Enterprises with sensitive data, can run on their own infrastructure on-prem and get a full AI platform. Data curation - create the very best datasets. Data annotation - annotate your vision, audio, and document data. Auto labeling - automate your annotation flow with pre-built templates and active learning. Data versioning - version your datasets for reproducibility. Experiment tracking - track your experiment progress, understand trends, and compare results. Model registry - manage your models and deployments in one place. The top data scientists build AI with DagsHub including teams at: Google, Harvard Medicine, Beewise, Macso, and Mana.bio

Average Rating: 4.8/5.0

Total Reviews: 14

How Do G2 Users Rate DagsHub?

  • Labeler Quality: 10.0/10 (Category avg: 8.9/10)
  • Object Detection: 10.0/10 (Category avg: 8.9/10)
  • Data Types: 10.0/10 (Category avg: 8.8/10)
  • Ease of Use: 9.2/10 (Category avg: 8.8/10)

Who Is the Company Behind DagsHub?

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 50% Small, 43% Medium

What Do G2 Reviewers Say About DagsHub?

AI-generated summary from verified user reviews

Pros
  • Users value the effective data management of DagsHub, enhancing reproducibility and collaboration in ML projects.
  • Users appreciate the seamless integration of data, code, and experiments in DagsHub, boosting their productivity and collaboration.
  • Users value the seamless collaboration DagsHub facilitates, enhancing team efficiency in managing data and experiments.
  • Users value the seamless data and experiment integration of DagsHub, enhancing reproducibility and collaboration in ML projects.
  • Users value the integrated platform of DagsHub for streamlining data management, experimentation, and model tracking efficiently.
Cons
  • Users find limited functionality in DagsHub, particularly in team capacity and model extension options.
  • Users often experience error handling issues on DagsHub, particularly when pushing files or loading projects.
  • Users find DagsHub to be expensive due to strict limitations on the free plan and inaccessible academic options.
  • Users find the limited customization in DagsHub restrictive, particularly with the constraints of the free plan.
  • Users find the strict limitations of the free plan restrictive, impacting team collaboration and accessibility.

What Are Recent G2 Reviews of DagsHub?

KeyLabs

Keylabs is a state-of-the-art labeling platform for images and videos that boosts up the process of preparing visual data for machine learning. Our annotation platform is built with user in mind. Just a couple of clicks and you are ready to go. Supported annotation types: - cuboid - bounding box axes aligned oriented - segmentation polygon bit mask - lines and multilines - named points points skeleton mesh Watch your project come to life. Easily convert your data to JSON.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate KeyLabs?

  • Labeler Quality: 9.2/10 (Category avg: 8.9/10)
  • Object Detection: 10.0/10 (Category avg: 8.9/10)
  • Data Types: 10.0/10 (Category avg: 8.8/10)
  • Ease of Use: 9.2/10 (Category avg: 8.8/10)

Who Is the Company Behind KeyLabs?

  • Seller: Keylabs
  • HQ Location: Holon, IL
  • Twitter: @KeylabsA
    47 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 33% Medium, 33% Small

What Are Recent G2 Reviews of KeyLabs?

SentiSight.ai

SentiSight.ai is a web-based platform that can be used for image labeling and for developing AI-based image recognition applications. It has two major goals: the first is to make the image annotation task as convenient and efficient as possible, even for large projects with many people working on image labeling, and the second is to provide a smooth and user-friendly interface for training and deploying deep neural network models. The ability to perform both of these tasks on the same platform provides the advantage of being able to label images and then train and improve models in an iterative way. SentiSight.ai offers powerful features, such as: Image labeling. Our labeling tool allows adding classification labels, bounding boxes, polygons, points, polylines, and bitmaps. Bitmaps can be easily converted to polygons and vice versa. Moreover, each labeled object can have several child objects, such as key-points or attributes. The labeled images can be directly used for model training on the SentiSight.ai platform, or they can be downloaded and used for in-house model training. Smart labeling tool. This tool can be used to significantly increase the speed of bitmap labeling. The smart labeling tool allows users to select a few points in the foreground and the background and let the AI extract the labeled object. Shared labeling projects and time tracking. To make large annotation project handling easier, SentiSight.ai allows a project to be shared among multiple users so that multiple people can label images in the same project. The project manager can quickly filter and review the images labeled by a particular project member, track each person’s progress and time spent on labeling, as well as manage user roles and permissions. Classification model training. This type of model can be used to identify certain objects in an image, such as a cat or a dog, but without specifying their location. They can also be trained to identify more abstract concepts, such as “summer” or “winter”. Object detection model training. This type of model can be used not to only identify a certain object, but also to predict its exact location in an image. For each object predicted to be inside the image, the model also predicts a rectangular bounding box that denotes the object’s location. This is very useful when you need to know not only what is inside the image, but also the relative location and number of objects. Online and offline models (free 30-day trial available). SentiSight.ai offers a possibility to use your deep learning models both online and offline. Online models can be used via REST API or web interface. Both of these options require internet connection. Another option is to download and use the image recognition model offline. An offline model can be downloaded as a free 30-day trial after which the user has an option to buy a license. The price of the license depends on the speed of the model, and it is a single time payment. Pre-trained models. In addition to the possibility of training image recognition models yourself, SentiSight.ai also provides several pre-trained models that can be used out-of-the-box without any additional training. These pre-trained models can be used for several tasks, such as content moderation, goods classification, automatic hashtags, people counting and more. Image Similarity search. This is another ready-to-use feature that allows users to upload an image and find all similar images to this query in their data set. It also allows users to perform NvN similarity searches in their data set where all similar image pairs are retrieved.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate SentiSight.ai?

  • Ease of Use: 8.3/10 (Category avg: 8.8/10)

Who Is the Company Behind SentiSight.ai?

  • Seller: NeuroTechnology
  • Year Founded: 1990
  • HQ Location: Vilnius, LT
  • Twitter: @StockGeist
    273 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small

What Are Recent G2 Reviews of SentiSight.ai?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated April 9, 2026