CloudFactory launches Accelerated Annotation after acquiring

Accelerated Annotation brings you cost-effective AI without compromises

Through our acquisition by CloudFactory, we can now offer a combination of state-of-the-art AI automation and standardized processes to leverage the best data-labeling workforce in more innovative and effective ways. For you, that means cost-effective AI without compromises on quality or speed.

Trusted by 1000+ innovative companies

The merger of Hasty and Cloudfactory enables us to offer you as fully managed solution based on 13+ years of combined experience in AI

Humans and machines team up to give you unparalleled quality

With Accelerated Annotation, we use AI-powered QA to find potential issues. We then send them to our experienced workforce so they can decide whether the annotation needs to be fixed. 

This automated process gives you the highest quality data without compromising speed or ensuring high quality by keeping the human in the loop.

Setting a new standard for labeling efficiency through AI automation

Since we started Hasty, we have pushed the boundaries of what’s possible with AI-powered automated labeling. Together with CloudFactory, we are now able to release what we can say is 5x faster on any use-case than manual labeling.

Combine that with our use of Active Learning which allows us only to label data you need, and you have a recipe for labeling at unparalleled speed.

Bringing data-centric methodology to data labeling solutions

Together, CloudFactory and Hasty have over 15 years of experience in AI. We know that quality and speed are essential, but you also need to be able to rely on us to be consistent.

To ensure we can deliver, we have spent the last six months developing a new standardized process with our customers that maximize both technology and workforce and ensure we can deliver on our promises, whatever your project is.

  • audere

    "Before discovering Hasty, labeling images was labor intensive, time-consuming, and less accurate. Hasty’s approach of training the model while labeling with faster annotate-test cycles has saved Audere countless hours."

    Jenny Abrahamson

    Software Engineer at Audere

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