FINANCIAL SERVICES

Predictive AI for Credit, Fraud & Risk Prediction

Protect revenue, reduce losses, and make smarter lending decisions with a foundation model purpose-built for tabular use cases.

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Leverage Neuralk's guided feature analysis and use-case specific feature generation

The Neuralk Data Science Agent analyzes your source data in the context of your use case, and builds an intelligent feature transformation and enrichment workflow tailored to your industry and the problem you’re solving.

Trust and control go hand in hand

Every transformation is transparent, documented and justified. Any feature engineering step can be modified on the fly by the user.

Skip the custom modelling phase - achieve predictions in minutes rather than weeks

Our suite of Tabular Foundation Models model delivers credit, fraud, and risk predictions at state-of-the-art accuracy that outperforms traditional ML models like XGBoost and CatBoost, all while skipping the overhead of traditional model development, parameter tuning, and continuous retraining.

A unified model for all use cases

Leverage a single foundational model for multiple forecasting use cases and simulations, from customer churn to fraud prediction and to Stress testing. Better accuracy, lower maintenance costs, and the guarantee of State-of-the-Art improvements from our research team.

Outperform LLMs and traditional ML both with a purpose built Predictive Foundation Model

Pretrained on millions of synthetic datasets, our predictive models have learned the complex patterns and correlations hidden within market microstructure, fundamental ratios, alternative data, and time-series features — out-of-the-box.
This deep understanding of tabular data enables our Predictive Foundational models to outperform both traditional ML models and LLMs.

How It Works

Install our Python package giving you access to the Neuralk API

Check our Doc and FAQ before configuring Authentication credentials, verifying API connectivity and rate limits.

Load the structured financial data tied to your risk use case

Our API supports datasets of up to 1 million rows and mixed feature types, including transaction history, customer demographics, credit bureau data, behavioral signals, and categorical risk flags.

Generate predictions from one of our predictive endpoints and start getting reliable credit scores, fraud probabilities, and default risk assessments in seconds (vs. hours for traditional training)

Validate prediction distribution automatically, compare Neuralk vs. baseline on out-of-sample test set. Measure / monitor accuracy improvements (IC, Sharpe, directional accuracy). Deploy to production in one-click.

Ready to unlock the full potential of your tabular data?

Unlock hidden customer insights and maximize revenue instantly with our proprietary suite of foundation models for structured data.

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Built for Industrial Scale

Handles up to 1M rows (tick data, panel datasets, historical universes).

SOTA, out of the box

Pre-trained so you can generate predictions in seconds, not months - try it now.

Handles the Real-world mess

Mixed features types: numerical (prices, returns, ratios), categorical (setors, market regimes), boolean (event flags)

Missing pieces? Don't miss a beat!

Robust to missing data, outliers, and regime shifts