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"Datasaur’s QA tooling significantly increased our confidence in the quality of our data."
"Instead of manually creating each project, we’re able to automate the project creation. Instead of manually scrolling through hundreds of medical labels, we can rely on search functions. This has saved admins and team members a lot of time in their project workflows."
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. Their expertise includes having a global crowd of over one 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. Their reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.
Toloka is a crowdsourcing data labeling platform used by hi-tech businesses to quickly label large amounts of data. Designed by engineers for engineers, Toloka accelerates data labeling processes by integrating an on-demand workforce and ensuring full control of quality with intelligent tools and research-based crowd science methodologies. With millions of crowd performers available across every time zone and operations in over 100 countries, Toloka is one of the largest crowdsourcing platforms and partners with major technology companies globally.
super.AI Intelligent Document Processing (IDP) solution leverages the power of Large Language Models (LLMs) to extract data from any document with guaranteed quality. Their platform offers access to the latest AI models and their Data Processing Crowd provides on-demand human-in-the-loop (HITL) review.
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