AI teams choose Labelbox over Surge AI to generate the highest quality data
Why AI leaders choose Labelbox over Surge
High-quality data
Generate high-quality data to differentiate your GenAI solutions, whether building frontier models or performing post-training and RLHF.
Rapid delivery
Deliver data on-demand and at the scale needed to accelerate project timelines and minimize the data bottleneck in post-training.
Essential control
Foster meaningful, real-time communication between internal and external teams to align on outputs through an open and transparent platform.
How are Labelbox and Surge different?
Both Labelbox and Surge offer RLHF solutions; however, leading generative AI labs choose Labelbox due to its mature, feature-rich platform combined with a superior labeling workforce that works seamlessly together to ensure the highest quality data.
Surge | Labelbox | |
Fully managed labeling workforce | ✓ | ✓ |
Quality guaranteed | X | ✓ |
Data labeling platform | Only annotation with WYSIWYG templates. | ✓ |
Data curation | X | ✓ |
Quality control | Basic quality control features including gold standards and outlier detection. No performance analytics or dashboards to get immediate actionable insights. | ✓ |
Automation & model-assisted labeling | Limited AI-assisted labeling. | ✓ |
Human-in-the-loop editors | X | ✓ |
Multimodal annotations | X | ✓ |
Real-time collaboration | ✓ | ✓ |
"Labelbox has enabled us to dramatically improve our model performance for our most critical AI initiatives by tapping into their network of expert labelers and platform for human evaluation. In the past two months, our document intelligence teams are seeing a 2X increase in data quality compared to previous vendors. We continue to work with Labelbox to further enhance our genAI capabilities and to hit our development timelines."
Human data lead
Generate high-quality data, guaranteed
Surge provides quality assurance (QA) tools like gold standards and outlier detections, but they do not offer dashboards to easily view quality metrics at the project and labeler level. Without detailed performance analytics, managing a human workforce at scale can be challenging, leading to potential issues with efficiency and data quality.
The Lablebox quality guarantee starts with our Alignerr network of highly educated experts that span numerous languages and subjects. We stand behind the quality of our labeling services, so if a labeled dataset does not meet a customer’s quality standards, we will happily do it again for free.
To further deliver the highest quality, Labelbox has built-in quality control mechanisms throughout the platform. Performance metrics are integrated at the workspace, project, and individual labeler level, providing actionable insights into improving data quality every step of the way.
Increase throughput with best-in-class software
Being primarily a service-led company, Surge’s platform lacks the built-in features and tooling that help simplify project management and ensure the timely generation of new data sets. This can lead to higher likelihoods of data-related issues, such as quality problems, transparency concerns, scalability challenges, and delivery bottlenecks.
Software is an essential part of the Labelbox DNA. The unified Labelbox platform delivers powerful labeling tools and AI-assisted automation to facilitate the rapid generation of high-quality data. Load, curate, label, and evaluate data from over 25+ different data sources in a unified, transparent and intuitive platform. Proven editors are available for a wide range of data types that include multimodal chat, LLM prompt/response, video, image, audio, PDF, geospatial, and more.
Simplify management with transparency and flexibility
Surge's black-box approach, coupled with a limited WYSIWYG data annotation editor, can make basic tasks like monitoring labeler performance or customizing data labeling processes, difficult. Complex annotations in novel gen-AI and LLM applications may require additional configurability in QA workflows not offered currently at Surge, leading to decreased label quality and throughput.
We understand that every AI project looks a little different. For teams that just need data quickly, the Labelbox Labeling Services, powered by Alignerrs, provides a hands-free process backed by software, expert labelers, and proven expertise. Teams that want more control can use the Lablebox platform to create custom multi-step workflows, measure performance with granular metrics, and collaborate in real-time with labelers to optimize every stage of the labeling process.
Accelerate AI alignment for critical tasks
Surge appears to have some AI-assisted labeling capabilities, but does not promote any specific tooling features for automatic labeling or model-assisted pre-labeling.
Automation is a key priority to fulfilling Labelbox’s goal of helping customers label less data, more quickly. With model-assisted labeling, auto-labeling, and the ability to automatically customize workflows to streamline human-in-the-loop review, customers are able to rapidly scale up their data generation initiatives while simultaneously saving time and cost.
"Our team was looking for a solution to generate high-quality human preference training data for our text-to-image gen AI development. Labelbox’s efficient platform and expert labeling workforce offered a seamless experience to instantly improve our text-to-image data quality, allowing us to focus more on core product development efforts."