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Dataloop description
Dataloop is an AI development platform designed to help businesses build AI applications more efficiently. It provides a comprehensive suite of tools for managing, annotating, and deploying AI models, as well as building data pipelines. Dataloop is designed to be user-friendly and collaborative, enabling teams to work together seamlessly. The platform offers pre-built models and pipelines to accelerate development and boasts robust security features to protect sensitive data. Dataloop's focus on automation aims to minimize manual tasks and streamline AI development.
Who is Dataloop best for
Dataloop is an AI development platform ideal for small to mid-sized businesses building AI applications. It offers tools for managing, annotating, and deploying AI models, including pre-built models and pipelines. Users praise its user-friendly interface and comprehensive features but note occasional performance issues and navigation challenges. Dataloop excels in computer vision applications, making it suitable for businesses across diverse sectors seeking streamlined AI development.
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Best fit for small to mid-sized businesses developing AI applications.
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A good fit across various sectors needing AI solutions, particularly computer vision.
Dataloop features
| Supported Dataloop supports cloud deployment through integrations with Google Cloud. |
| Supported Dataloop provides tools and frameworks for building, training, and deploying AI models. |
| Supported Dataloop offers pre-trained models that can be fine-tuned for specific tasks. |
| Supported Dataloop offers a marketplace specifically for AI resources like models and datasets. |
We evaluate the sentiment that users express about non-functional aspects of the software
Customer Service
Ease of Use
Reliability and Performance
Ease of Implementation
Dataloop reviews
We've summarised 90 Dataloop reviews (Dataloop G2 reviews) and summarised the main points below.
- User-friendly interface for labeling and annotation tasks.
- Comprehensive platform covering the entire AI development lifecycle.
- Excellent customer support, responsive and helpful.
- Powerful AI engine with accurate image recognition capabilities.
- Flexible platform with support for various data types and annotation formats.
- Occasional performance delays and slow loading times impact productivity.
- UI can be challenging to navigate, especially for new users.
- Occasional bugs, such as annotations being deleted unexpectedly.
- Lack of real-time notifications for critical updates, like pipeline failures.
- Limited demo or free version for exploring features before committing to purchase
Dataloop alternatives
SuperAnnotateHas stronger momentum and offers a centralized platform for data, team, and quality management. A Dataloop competitor and alternative.Read more
ClearMLOpen-source, offering more flexible pricing. Caters to broader AI/ML and LLM needs, while Dataloop focuses on computer vision. Has more momentum based on employee growth.Read more
Qlik AutoMLBetter for users without coding experience seeking automated predictions and insights. A Dataloop competitor focused on no-code model building and streamlined data analysis.Read more
GeminiBetter for text and code generation. A more suitable Dataloop alternative for individuals and brainstorming. Easier to use, with better customer service.Read more
Vertex AIBetter for users without coding experience seeking to build and deploy AI models. Easier to use, with better support for various industries like healthcare and finance. However, users have raised concerns about its pricing and potentially steep learning curve.Read more
SAS ViyaBetter for users needing broader data analytics capabilities beyond model building and annotation. Caters to enterprise data professionals and business users. Has more established market presence and brand recognition as a Dataloop competitor and SAS Viya alternative.Read more
Dataloop FAQ
What is Dataloop and what does Dataloop do?
Dataloop is an AI platform streamlining the development lifecycle with tools for data management, annotation, model training, and deployment. It offers pre-built models and automation features, facilitating efficient collaboration and robust security. While praised for its comprehensive features and supportive customer service, some users find navigation challenging and experience occasional performance issues.
How does Dataloop integrate with other tools?
Dataloop integrates with cloud platforms like Google Cloud, offering pre-built models and a marketplace for AI resources. This streamlines workflows, enabling efficient model building, training, and deployment. It facilitates building data pipelines for various data types and annotation formats.
What the main competitors of Dataloop?
Dataloop's main competitors include Qlik AutoML, ClearML, MATLAB, SAS Viya, Aporia, and Composable Prompts. These alternatives offer various data analysis, model building, and AI development capabilities.
Is Dataloop legit?
Dataloop is a legitimate AI development platform. User reviews highlight its user-friendly interface and comprehensive features. However, potential users should be aware of occasional performance issues and navigation challenges. Dataloop is safe and offers robust security features to protect sensitive data.
How much does Dataloop cost?
Dataloop does not publicly disclose pricing information. Contact their sales team to discuss custom pricing for your data needs and determine if Dataloop is worth the investment.
Is Dataloop customer service good?
Dataloop's customer service receives positive feedback. Users highlight the helpful and responsive support team, who provide quick solutions and personalized assistance. While some users experienced challenges with the Python SDK, the support team effectively addressed these issues.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.