TabPFN was trained on 130 million datasets, but they were all fake. This isn't a bug; it's the entire point. Here's why synthetic data is the secret weapon of tabular foundation models.
From structured data to predictions. Instantly.
Our in-house suite of frontier models delivers predictions at a state-of-the-art accuracy that outperforms traditional ML models like XGBoost and CatBoost, all while skipping the overhead of traditional model development, training and maintenance.
Pretrained on millions of synthetic datasets, our models have learned the hidden patterns behind the rows and columns of business data — the kind today's LLMs are simply not designed to see. This enables predictions that can be more than twice as accurate as what you'd get with LLMs.
Get instant predictions for any kind of classification problem on your structured data. Our API scales to datasets of up to 1 million rows and can handle mixed feature types like numbers, text, and categories.
Generate instant numerical predictions for any kind of regression problem on your structured data. Our API scales to datasets of up to 1 million rows and can handle mixed feature types like numbers, text, and categories.
Forecast future values, detect trends, and anticipate changes from your temporal data.
End-to-end modules infused with business logic to solve complex industry use cases out of the box.
"Neuralk-AI's embedding models could help us save our clients numerous hours of unnecessary manual data cleaning."

"We are thrilled to collaborate with Neuralk-AI in developing next-generation AI solutions for our clients."

"I see immense potential in Neuralk-AI's scientific team to empower enterprises in building AI solutions that seamlessly integrate and interact with structured databases."

Learn more about how our predictive foundation models can transform your business