FAQ

We collect or annotate any data, including text, images, audio, and video in any provided and requested formats

We offer a wide range of annotation services with an in-house staff of annotators and/or through crowdsourcing. Markup is produced for all Computer Vision, Natural language processing (NLP), Optical character recognition (OCR) and content moderation tasks

Our process ensures accuracy ranging from 95% to 99%, depending on the tasks and goals of the customer’s ML models

We take all necessary measures to ensure confidentiality and security of data, including signing NDA, protection from unauthorized access, data storage on secure servers and other measures according to the customer’s agreement.

The turnaround time for data collection or annotation projects depends on the complexity of the project and the amount of data, but we always try to keep the turnaround time to a minimum

We work with various companies and organizations, providing a high level of service and favorable commercial terms. At the moment we have more than 2500+ qualified annotators and a million audience of crowdsourcing platforms, which allows us to successfully cover the needs of companies with large-scale data annotation projects

We use advanced technologies to achieve high accuracy and quality, which includes selecting the most effective annotation tools for the customer’s project, proprietary neural networks, and automatic pre-partitioning tools. Among the most commonly used tools are: CVAT, v7, PhotoShop, Label Studio, SuperAnnotate and Supervisely. We always discuss annotation tools with the client’s team, as it is directly related to the final cost of the project. Sometimes customers give us access to their tool and we work on the customer’s servers

We can provide the exact cost of the project, pricing policy formation within the task only after conducting a pilot project free of charge for the customer. The price strongly depends on deadlines, required quality, annotation tools and complexity of the project

Each project and customer is unique, just as the tasks of ML models and neural networks are unique. That is why an account manager works with each customer, who provides individual terms of cooperation and is promptly ready to make changes to the project upon request

We have been working with data for 7 years. During this time, we have prepared datasets for 25 industries, collected data to solve optimization and automation problems in security, medicine, retail, document management, agriculture, utilities, robotics, mining, oil production and refining, AR and VR projects