Nurdle AI

87% of AI projects never make it to production. Whether it’s because they are inaccurate, hallucinate, don’t work in real-world contexts, misunderstand real people or that they’re stuck before they start because of the “cold-start problem”, the issue comes down to not enough high-quality use-case specific, privacy-compliant labeled data for training.

But real-world human-labeled data is expensive and requires a lot of data science labor – and synthetic data is so low-quality and unrelated to the model’s actual use-case that it doesn’t improve performance much.

Nurdle can help. By using real-world human-labeled kernel datasets built for specific use-cases, we produce enhanced synthetic datasets that perform almost as well as human-labeled at the speed and price of synthetic datasets. Contact us for a free data gap analysis showing you what kind of data you’re missing and how much you need for your performance target.

Nurdle AI uses real-world custom use case datasets to generate synthetic datasets for accurate LLMs.

Nurdle AI headquartered in United States, North America, operates in the Enterprise Software, Big Data, Artificial Intelligence (AI), Machine Learning sector. With a team of 11-50 employees, Nurdle AI is actively contributing to advancements in Enterprise Software. Their latest funding round, Venture Round - Nurdle AI, raised $Unknown amount. Discover more about their projects, partnerships, and impact on our platform.