High-quality data labeling is essential for the development and success of AI, machine learning, and computer vision solutions. Without it, AI models can't learn to recognize and understand the world around them accurately.
That's why we're grateful for our data annotation workforce, who play a critical role in training and refreshing AI solutions with high-quality labeled data.
In this blog post, we'll highlight some of our past and present clients about the challenges they faced in scaling data annotation, what led them to CloudFactory, and the value they received from our work on their data.
Meet a few AI companies we admire and support
Pathr.ai helps retailers understand shopper behavior to improve sales and operations
Pathr.ai™ is the industry’s first and only AI-powered spatial intelligence platform. It uses feeds from a company’s existing infrastructure—think surveillance cameras and sensors—to capture human behavior and interactions anonymously and deliver actionable insights about staffing, retail merchandising, and security. CloudFactory helps provide data annotation and camera calibration at scale so Pathr AI can focus on significant product development.
Sartorius develops the world’s largest open-source database of annotated cells for medical research
Sartorius supports biotech scientists and engineers as they develop and manufacture medicines for incurable diseases. Sartorius helps the biopharmaceutical industry bring improved medications to patients quickly and safely by simplifying workflows, enabling faster research, and reducing human error. CloudFactory helped the company develop an open-source dataset of more than 5,000 images—1.6 million individually annotated cells—published in Nature Methods.
Luminar takes autonomous vehicles to new distances with expert 3-D annotation
Luminar is an autonomous vehicle sensor company with the vision to make autonomy safe and ubiquitous by delivering the only LiDAR perception platform that meets the industry’s stringent safety and economic requirements. Our team supported data annotation for the launch of Luminar’s sensor product, Hydra, and met high accuracy standards for the training dataset.
Driver Technologies protects the world’s motorists and supports transportation innovation
Driver Technologies provides a free mobile app for individuals and rideshare, delivery, and commercial drivers. The app includes GPS navigation, trip recording, AI-driven collision alerts, and more. CloudFactory annotated the anonymized roadway image and video data to help Driver deliver an extensive database for developers of autonomous vehicles, insurance telematics, and ADAS models to improve their products and accelerate development.
Hummingbird Technologies farms for the future with precision data labeling
Hummingbird Technologies provides crop analytics through machine learning algorithms applied to remote sensing imagery captured by drones and satellites. They help customers increase crop yields, optimize inputs, and sustainably farm. Hummingbird has created 70 different machine learning-based products. Our team looks at drone images of fields, labeling different crops based on size, health, and other factors to build new and updated datasets for Hummingbird’s products.
Matterport helps customers create interactive 3-D digital construction and real estate models
Cortex, Matterport’s powerful deep learning neural network, automatically stitches images together from various devices—including LiDAR and 360-degree cameras, drones, and smartphones—to construct dimensionally accurate 3-D models for construction and real estate. CloudFactory supports Matterport with 2-D image labeling to train and refresh models.
AMP Robotics makes recycling easy with reliable annotation quality control
AMP Robotics is a leader in the recycling technology industry, building AI-based robotics systems that sort recyclable materials and waste at a fraction of the cost of current technology. AMP’s technology recovers recyclables from municipal waste, precious commodities from electronic waste, and high-value materials from construction and demolition debris. They turned to CloudFactory when growth outpaced internal capacity to annotate quality data. Our managed workforce led quality control efforts for AMP’s data labeling efforts while supporting model outputs and defining new segments.
Sylvera makes sure carbon-offsetting projects live up to their claims
Sylvera’s founders saw how complicated carbon-offsetting projects could be and how difficult it was to get up-to-date data on the climate impacts those projects promised. Bringing a new layer of transparency to the sustainability market, Sylvera assigns ratings to carbon sink projects, similar to what S&P Global Ratings and Moody’s do for debt issuances. CloudFactory helped annotate satellite and spatial data to train and develop custom project monitoring models.
Nearmap transforms maps into digital gold for city planners, insurance underwriters, and more
Nearmap, a global technology pioneer, provides easy and instant access to up-to-date and historical geospatial data. It uses proprietary technology to capture high-resolution aerial imagery of urban exteriors, providing data-rich virtual tours across rooftops, buildings, and other location features, all at a massive scale. CloudFactory has delivered 300,000+ hours of annotation work to help Nearmap focus on innovation and growth.
At CloudFactory, we believe that everyone should have access to the power of AI. That's why we make it easy for businesses of all sizes to scale their data annotation needs. With our global workforce of skilled data annotators, predictable pricing, and quick turnaround times, we can help you get your AI solutions up and running faster.
We've helped more than 700 companies accelerate innovation, lower costs, and quickly move products into market. We're here to help you do the same.
Contact us today to learn more about how we can help you with your data annotation needs.
Data Labeling Computer Vision AI & Machine Learning Data Annotation
