Heretik wanted to make legal contract review less tedious so they created an AI-fueled solution. Learn how CloudFactory helped bring their software to life.
For over a decade, we have helped organizations do more with data by providing a highly scalable, managed workforce. Today, we are a global leader in providing managed workforce solutions for machine learning and business process optimization.
When asked what set us apart, one client said, “CloudFactory has people who care.” Our data analyst teams are known for high-quality work, and they enjoy working with the data that trains and powers the world’s most innovative technology.
This reputation, and our clients’ results, don’t come by accident. We take a purposeful approach in recruiting, training, and growing our teams. Data analysts get regular opportunities for professional development, leadership, and community service. These investments result in worker accountability, engagement, and a bias toward action - all of which contribute to better outcomes for your organization.
Leave your project in good hands. CloudFactory selects each data analyst for your team based on a comprehensive, multi-level assessment. You can be confident that your data is being handled by individuals who are skilled and known.
Our data analysts view themselves as an extension of your team. Our unique, flexible delivery model has built-in monitoring and focus techniques to support individual accountability, and we follow up on lower performance with retraining. High performers have opportunities to advance, which we have found contributes to higher quality work.
Reduce lead time and time to market. Prior to each project, your dedicated project manager delivers comprehensive in-person and virtual training to introduce the data analysts to task instructions, cultural context, and big-picture impact.
CloudFactory provides every data analyst with leadership opportunities, enrichment programs, and bonuses for excellent work. High performers are given the opportunity to advance within the organization, should they choose it. These practices improve worker engagement and retention, allowing us to provide high-quality work over the long term for our clients.
The CloudFactory team quickly caught on to what we were doing. They understood the eccentricities of the work and asked the right questions and acted very quickly on any feedback we had.
Azavea interviewed a handful of leading data labeling firms, and studiously compared their pricing, approach, and cultural values. Learn why CloudFactory stood out.
We’d love the opportunity to answer your questions or learn more about your project. Let us know how we can help.
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.
How does a managed workforce compare to an anonymous crowd? Is it better to pay by the hour or by the task? Data-science tech developer Hivemind designed an experiment between anonymous workers and a managed team on a series of increasingly complex tasks. Watch the webinar to learn which workforce delivered the highest-quality structured datasets and at what relative cost.
Meet Mercy Mandela, a Delivery Team Lead that helps ensure that we deliver quality data labeling to CloudFactory clients across the globe.
We recognize talent is equally distributed around the globe but opportunity is not. We exist to create meaningful work for one million talented people in developing nations, so we can earn, learn, and serve our way to become leaders worth following.
Our workforce delivers high accuracy, can iterate processes in real time, and can establish the domain knowledge required to resolve even the toughest edge cases.
Scale image and video annotation with pixel-level accuracy by trained and professionally-managed data annotators.
Scale text and audio annotation with a team skilled at understanding and interpreting complex, nuanced language.
Optimize your business operations with a flexible, managed workforce for data processing and other back-office tasks.