Skip complex ML pipelines. Our expert AI modules are ready to deliver accurate predictions for your use cases in seconds.
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.
Plug in your 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 out-of-the-box modules and start getting reliable predictions in seconds. Discover the use cases we can handle in our Solutions section.