Case studiesWhy leading organizations choose SuperAnnotate
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- Agent response accuracy: ~78% → >91%
- 10 x evaluation throughput
- QA overhead ↓ 60%
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- Centralized 58 projects & 60,000 hours of work per month on SuperAnnotate
- 82% productivity lift in one month
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- Fine-tuned a domain-specific model outperforming GPT-4o
- Accuracy boost: 46.6% → 95.5%
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Case Studies
How SuperAnnotate helped others
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Hear it from our customers
We reviewed several companies and selected SuperAnnotate due to the high quality of their data. They stand out for their data quality, attention to detail, and fantastic communication. They are an invaluable part of our data pipeline. I don’t see them as a vendor, I see them as a partner.
By using SuperAnnotate’s data labeling tools alongside Databricks’ extensive data processing capabilities, we’ve really streamlined how we create and refine our training datasets. This means we can deliver sharp and contextually relevant advertising to our clients with greater precision.
SuperAnnotate has been an invaluable partner in creating the golden datasets needed to benchmark our models and in enabling us to craft high-quality prompts and instructions for our LLM Judges.
Definitely the best team of annotators I’ve seen and the platform is easy to manage. The quality is really high and consistent.
SuperAnnotate’s platform is incredibly robust and easy-to-use. Their Data Operations team is very thorough, proactive, easy to engage, and acts as a valuable extension of Motorola Solutions’ data operations.
SuperAnnotate has allowed us to cut over 60% off annotation cycle time. Finding annotation teams was super easy, and because they are all trained on SuperAnnotate, they are able to deliver more accurate annotations much faster than before.
Two years ago, our team consisted of four people who were doing a thousand images over two months. Our data scientist is doing the same amount of work today in just one week. So, if I take 4x8, we get effectively nearly 32x faster.
The fact that SuperAnnnotate had a local dedicated team of professionals sped up the annotation performance and improved the quality of instrument annotations. That, combined with our local QA team, made a combination of 1+1 makes 3.