Pricing score

Surge AI Pricing Profile

Surge AI is a company that provides AI-powered data labeling and annotation services for machine learning and artificial intelligence applications.

HQ Location

San Francisco, California, USA

Category:

Key Takeaways

Custom Guidelines

Customers can set up custom labeling guidelines and workflows that match their project requirements, ensuring consistency and accuracy across all data annotations.

Rapid Turnaround Time

The combination of automated tools and human review ensures fast turnaround times for labeling tasks, reducing the time to deploy machine learning models.

Image & Video Annotation

Surge AI supports annotating images and videos for computer vision tasks such as object detection, image classification, segmentation, and tracking.

Product Overview

Surge AI focuses on delivering high-quality, scalable, and efficient solutions for data preparation, helping businesses and organizations train accurate and reliable AI models.

Surge AI offers a platform for data labeling and annotation, specializing in both human-in-the-loop (HITL) and machine learning-assisted labeling. This ensures that businesses can build and deploy machine learning models quickly while maintaining high data accuracy and consistency. Surge AI’s platform supports a variety of use cases, including computer vision, natural language processing (NLP), and audio data labeling.

INSIGHTS

Our insights about Surge AI pricing

Guidelines available

Offers custom quotes

Pricing information is not publicly available

Available Pricing Models

How much does Surge AI cost?

Surge AI offers an Enterprise plan for teams that need high volume, fully managed data labeling services with guaranteed SLAs — they'll help you create guidelines, build you custom labeling teams, and manage quality controls end to end.

What users say about Surge AI pricing

Ethan Perez

The biggest game-changer for my research recently has been using Surge Al for human data collection. With Surge, the workflow for collecting human data now looks closer to "launching a job on a cluster" which is wild to me.

Sam Bowman

If you want an NLP data collection and labeling process and don't want to manage annotators directly, Surge Al is remarkably easy to work with and their team does very good work.

Vivek Raghunathan

Huge thanks to Surge Al for the incredible work they are doing on search human eval.

Ethan Perez

Vivek Raghunathan

Huge thanks to Surge Al for the incredible work they are doing on search human eval.

Sam Bowman

If you want an NLP data collection and labeling process and don't want to manage annotators directly, Surge Al is remarkably easy to work with and their team does very good work.

Surge AI Pricing Rating

The platform offers dashboards to track the progress of annotation tasks in real time. Users can monitor task completion, quality control metrics, and overall performance: 4.8/5

The platform offers dashboards to track the progress of annotation tasks in real time. Users can monitor task completion, quality control metrics, and overall performance.

Large-Scale Projects: 4.7/5

Surge AI supports the annotation of large datasets, making it ideal for businesses and enterprises with extensive data needs. The platform scales to accommodate projects of any size.

Integration: 4.9/5

API Integration: Surge AI provides API access, making it easy to integrate the annotation platform with existing machine learning workflows and data pipelines. The platform supports various file formats for data export, such as CSV, JSON, and XML, allowing for easy integration with machine learning models and other applications.

FAQ on Surge AI Pricing

What types of data can Surge AI handle?

Surge AI can annotate and label multiple types of data:

- Images & Videos: For computer vision tasks like object detection, image segmentation, and video tracking.
- Text: For NLP tasks such as sentiment analysis, named entity recognition (NER), and text classification.
- Audio & Speech: For transcription, speaker identification, and speech intent detection.

How does Surge AI combine AI and human labeling?

Surge AI uses a hybrid approach that combines AI-assisted labeling with human oversight. The platform leverages machine learning models to automatically generate initial annotations, which are then reviewed and refined by human annotators to ensure accuracy and quality. This combination speeds up the annotation process while ensuring that the final dataset is highly accurate and reliable.

Can Surge AI handle large-scale annotation projects?

Yes, Surge AI is designed to handle both small and large-scale annotation projects. The platform is scalable and can efficiently process large datasets, making it suitable for enterprises and organizations that need to label millions of data points across different modalities. The use of AI-assisted labeling speeds up the process, enabling faster turnaround times for big projects.

Does Surge AI offer custom workflows?

Yes, Surge AI provides customizable workflows that can be tailored to your specific annotation requirements. Users can define custom labeling guidelines, task assignments, and quality control processes to ensure that the platform matches the needs of their unique projects. This flexibility makes it suitable for a wide range of industries and use cases.