Leverage Neuralk AI’s frontier models and get highly-accurate predictions for any classification or regression task instantly, with zero model retraining.
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 predictive models have learned the patterns and correlations hidden behind the rows and columns of structured data — the kind modern LLMs are simply not designed to see. This deep understanding of structure enables predictions that are more than twice as accurate as LLMs on the complex, messy datasets businesses rely on every day.
Install our Python package giving you access to the Neuralk API by following our technical docs.
Load the structured data tied to your use case - our API supports datasets of to up to 1 million rows and mixed feature types, including categorical, numerical and boolean fields.
Feed your data into one of our predictive endpoints and start getting reliable predictions in seconds.
Unlocking Frontier AI intelligence for your structured data
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