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Turn your raw data into instant predictions

Try the Neuralk API and unlock instant value from your business data, today.

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Stop training, start delivering

Our API gives your access to our suite of proprietary foundation models and expert AI modules delivering instant predictions for your use cases across sales, marketing, product and operations.

Frontier models for data science

Get direct access to our in-house suite of frontier models like NICL that outperform traditional ML models and LLMs.

Instant predictions, no training

Get your predictions delivered instantly without further model training, allowing you to iterate, predict and improve effortlessly.

Datasets of up to 1 million rows

Our API scales to datasets of up to 1 million rows and can handle mixed feature types like numbers, text, and categories.

Minimal preprocessing

Our frontier models work out-of-the-box with minimal to zero data preprocessing & cleaning required.

Seamless integration

Our prediction endpoints can integrate seamlessly into your existing pipelines and processes with minimal setup.

Combine with your expertise

Easily refine critical preprocessing steps according to your unique business knowledge to achieve even higher accuracy levels.
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Get superior performance compared to traditional ML

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.

Discover our benchmark on enterprise use cases ->

Achieve 2x better performance than LLMs

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.

Discover why LLMs struggle with enterprise data ->

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