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Simplify and accelerate your data labeling processes with our fully managed, end-to-end data annotation service for one inclusive monthly price.
Our Workforce Plus reduces complexity and gives you a faster path to high-quality data labeling by bundling a professionally managed workforce with a best-in-class data annotation platform for a single, inclusive monthly price. It’s an annotation service that’s flexible and consumable, managed end-to-end, and can handle nearly any CV use case.
Accelerate your time to value with our Workforce Plus:
All of the software and the workforce you need to outsource quality data annotation at scale, so you can focus on innovating.
We deliver pixel-level accuracy at scale, with classification, detection, segmentation, and keypoint annotation tools that enable fast and accurate data labeling for any computer vision use case. You get the flexibility to design your ontology and instructions, tailored for your use case.
AI-powered features and automation help speed the labeling process and can pre-label data for verification, significantly boosting the productivity of the annotation team.
When paired with our hourly pricing model, you financially benefit as our team becomes more productive and efficient.
Our flexible data set and directory structure for organizing, searching, and filtering your data optimizes your project workflows and makes efficient use of time.
We create a unique data label ontology for your project to ensure consistency across your data sets, directing which tools, labels, and attributes are used by our annotators.
You also have the option to secure your data with cloud storage providers such as AWS S3 and Google Cloud, enabling query and annotation without uploading your data to the labeling tool.
Our processes and tooling keep your data private and secure with custom authentication, role permission enforcement, and full data encryption. We’re equipped for high performance and high uptime for sustained, large volume data labeling projects.
Our processes and technology are optimized to reduce project management overhead. This efficient task assignment and routing results in faster annotations and cost savings for you. Plus, we can route edge cases to members of your internal team so you can ensure our annotators are delivering on quality and accuracy.
Each of our data analysts are vetted for skill and character, pre-trained on our data annotation platform, and receive ongoing skills and use case training. Dedicated project management and client success teams keep you connected to your work, without the day-to-day hassle of managing a team. Our service delivery platform gives you real-time visibility into the work and performance of the team.
Our vetted, managed teams have served hundreds of clients across thousands of use cases that range from simple to complex.
Our proven processes securely and quickly deliver accurate data and are designed to scale and change with your needs.
Contract terms that include all you need to succeed and predictable hourly pricing that removes the risk of hidden costs.
CloudFactory stands out among data labeling companies.
Learn how CloudFactory helped Hummingbird Technologies develop crop analytics for farmers around the world.
CloudFactory helped Luminar launch a product that dramatically increases autonomous vehicle perception.
Sensor-as-a-service start-up finally finds an annotation solution that can help them expand.
We’d love the opportunity to answer your questions or learn more about your project. Let us know how we can help.
The autonomous vehicle market continues to grow. From self-driving cars to delivery drones, AI companies are finding ways to make this method of transportation safe and reliable.
Quality clinical image annotation enables highly accurate AI diagnostics and eases the burden on medical professionals.
The combination of AI and robotics can improve outcomes in a variety of industries, including healthcare, agriculture, and manufacturing.
The poor utilization of people in the AI lifecycle can be costly and yield low-quality data and poor model performance. Learn how to strategically deploy a scalable human-in-the-loop workforce to build and maintain high-performing machine learning models, from proof of concept to production.
Advances in data annotation include AI and automation that seem to promise annotation without the involvement of people. This panel explores the future of human-in-the-loop data annotation and the role your labeling workforce will play in the years to come.
Interested in humans in the loop machine learning? Watch a replay of Keith McCormick and Robert Monarch’s discussion about HITL, workforce options, ethics, and active learning.
Your computer vision model is fueled by image data. In this guide, learn the basics about image annotation, common techniques, and key workforce considerations.
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