InData Labs is a data science & AI consulting company.
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data.
We specialize in annotating images and videos and creating consistent high-quality data for your machine learning models. We create superior quality data that is backed by excellent customer service. We work with you to find the best strategy for your project. By combining advanced tools with in-house professional annotators, we guarantee incredible results. We believe that any Artificial Intelligence can perform only as well as the training data that is used to create it, and that always start
V7 Darwin is a data labeling platform used by AI developers who need to train specialized computer vision models. It supports diverse data types, including images, videos, and medical imaging formats like DICOM or WSI. The platform offers AI-assisted labeling, data management, and workflow orchestration tools to help companies, clinics, and research labs create high-quality training data for building sophisticated AI solutions. It is especially useful for managing complex review processes and re
The BasicAI platform enables annotation of most types of unstructured data for a wide variety of industry applications and use cases.
Datature is a cutting-edge MLOps platform that streamlines deep-learning capabilities for healthcare, medical, and manufacturing companies. Nexus simplifies complex tasks with advanced auto-labeling and team collaboration tools that reduce data annotation time by a staggering 90%. The platform offers cloud-based model training and AI-powered auto-segmentation tools for data labeling. With a customizable visual interface and streamlined annotation workflows (reviews, consensus), Nexus delivers a
Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over 1 million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial serv
Today's challenge to train machine learning models is not to get the data itself - but to get the clean labelled data - to avoid having a "garbage in garbage out" loop. While current digital transformation by AI is powered by machine learning models, this process of data annotation becomes critical. Kili Technology serves as the training data solution to facilitate data annotation for image, video and text for various Computer Vision and NLP tasks with a robust tool to manage data quality and si
Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks.
As more people in the world are increasingly gaining access to the internet and smart devices, we generate a staggering 2.5 quintillion bytes everyday. More importantly, 90% of this data is in unstructured form such as emails, articles, news and documents which is difficult to analyze. It’s become clear that extracting actionable information from this vast amount of unstructured data will give an unprecedented advantage to businesses. At UBIAI, we make easy-to-use Natural Language Processing (
Make visual AI a reality. Build production-ready visual AI faster and more easily with FiftyOne from Voxel51. By simplifying and automating how you explore, visualize and curate visual data, Voxel51 lets you test and refine your models alongside exactly the datasets they need to ensure robust, accurate results. Better data => better models => the fastest path to success with visual AI.