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4-Xtra Technologies

Delivering SaaS extreme event forecasting, and synthetic data generation solutions, utilising patented machine learning & generative AI technologies

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Predict Finance’s Swans: White Swan’s impactful shifts, Black Swan’s rare upheavals. In the era of Digitalization, Big Data and ESG, anticipating these moves are a key challenge in Financial Services. Embrace change – master forecasting, redefine risk with 4-Xtra’s patented machine learning technology.

Our mission is to revolutionise the landscape of forecasting for these high-impact events by harnessing cutting-edge research-based technologies and advanced data processing capabilities via probabilistic algorithms using artificial intelligence and machine learning.

Existing forecasting methods often lack accuracy, speed, flexibility and can lead to substantial losses and increased risk on all fronts. We solve these problems.

4-Xtra’s Extreme Forecasting Engine accurately predicts the likelihood and magnitude of multi-variate events. When coupled with our Synthetic Data Generator which tackles data scarcity and digital privacy, it can produce extreme samples of synthetic data going far beyond the observations in the original data set.

Exceptional Expertise: Our team, comprising PHD data scientists, eminent researchers, and seasoned industry practitioners, boasts extensive proficiency in extreme event forecasting.

Robust Patent Portfolio: We possess a formidable array of patents that safeguard our ground-breaking technology.

Versatile Data Processing and Modularity: Our solution excels in handling various data formats and can seamlessly integrate with diverse solutions, adapting seamlessly to varying use cases and industries, with an initial emphasis on the financial domain.

Swift Forecasting: Real-time predictions empower businesses to make agile decisions in response to evolving circumstances.

Transparent Communication: Our ability to present intricate forecasts in a comprehensible manner enhances the decision-making process for businesses.

Join us in ushering in a new era of unparalleled accuracy and foresight in extreme event forecasting for the financial services landscape.

The use cases for our patented technology in the financial services industry are vast, just a few are highlighted below:

Credit Risk Management:

Extreme Forecasting: Traditional methods might provide a limited view of potential risks. Extreme forecasting goes beyond the norm. By analyzing historical data, market trends, and even macroeconomic factors, you can predict extreme events that could impact creditworthiness.

Synthetic Data: But what if there isn’t enough historical data for this emerging market segment? Here’s where synthetic data steps in. By generating synthetic data that mimics real-world patterns, you can simulate a variety of scenarios, even those that haven’t yet occurred. This enables you to test your credit risk models under diverse conditions and identify potential blind spots.

Combining extreme forecasting and synthetic data. You take your extreme forecasts for economic downturns and apply them to your synthetic data. This lets you assess how your credit risk models perform under stress scenarios that haven’t yet occurred in the real world.

Trading Signals:

Extreme Forecasting: Conventional trading signals often rely on historical data and technical indicators. Extreme forecasting Conventional trading signals often rely on historical data and technical indicators. Extreme forecasting takes it a step further by considering rare, high-impact events that can disrupt markets. By analyzing historical data, global events, and market sentiment, you can identify extreme scenarios that might lead to significant price movements.

Synthetic Data: If you’re dealing with emerging or highly volatile assets with limited historical data? Synthetic data becomes your ally. By generating synthetic data that mimics real market behaviors, you can simulate a wide range of scenarios, including those that haven’t yet occurred.

Combining extreme forecasting and synthetic data. You apply your extreme forecasts to your synthetic data, allowing you to test your trading signals in scenarios that haven’t yet materialized in the real world.

Financial Crime & Fraud Prevention:

Extreme Forecasting: Traditional fraud prevention systems often rely on historical patterns and known attack vectors. Extreme forecasting amplifies this approach by anticipating rare, high-impact events that might signal a major security breach. By analyzing historical attack data, emerging threats, and global trends, you can identify extreme scenarios that could potentially compromise your institution’s security.

Synthetic Data: But what about novel attack vectors that haven’t yet been observed? Synthetic data steps in to fill this gap. By generating synthetic data that emulates real-world user behaviors, transaction patterns, and system interactions, you can simulate a wide array of fraud scenarios, even those that haven’t occurred.

The integration of extreme forecasting and synthetic data. Applying your extreme forecasts to synthetic data allows you to test your fraud prevention strategies in situations that haven’t yet manifested in reality.

ESG performance & reporting:

Extreme Forecasting: Traditional ESG reporting often relies on historical data and incremental progress. Extreme forecasting takes it a step further by anticipating unprecedented shifts that could impact your ESG trajectory. By analyzing global trends, regulatory changes, and emerging social demands, you can identify extreme scenarios that may challenge or elevate your ESG efforts.

Synthetic Data: But what if you’re aiming to assess ESG performance for initiatives that are just starting or haven’t fully materialized yet? Synthetic data becomes your compass. By generating synthetic data that mirrors real-world sustainability behaviors, you can simulate a range of ESG scenarios, even those that haven’t unfolded in practice.

Blending extreme forecasting and synthetic data. Applying your extreme forecasts to synthetic data allows you to test your ESG strategies against hypothetical situations, helping you gauge your organization’s preparedness and adaptability.

Portfolio Management:

Extreme Forecasting: Conventional portfolio management often relies on historical data and standard risk assessments. Extreme forecasting elevates this process by predicting high-impact events that could significantly influence your portfolio’s performance. By analyzing market trends, global events, and macroeconomic factors, you can identify extreme scenarios that might lead to unprecedented market shifts.

Synthetic Data: But what about assets or sectors with limited historical data? This is where synthetic data comes into play. By generating synthetic data that simulates market behaviors, asset correlations, and volatility patterns, you can simulate a wide range of scenarios, including those not yet experienced.

The integration of extreme forecasting and synthetic data. Applying your extreme forecasts to synthetic data lets you test your portfolio strategies under conditions that haven’t yet occurred in reality.

Insurance:

Extreme Forecasting: Traditional insurance risk assessment often relies on historical data and standardized models. Extreme forecasting takes it a step further by predicting rare, high-impact events that could shake the foundations of your risk portfolio. By analyzing historical claims data, global trends, and emerging risks, you can identify extreme scenarios that might lead to unprecedented claims spikes.

Synthetic Data: But what if you’re dealing with emerging risks or novel insurance products? Synthetic data becomes your ally. By generating synthetic data that simulates policyholder behaviors, risk profiles, and claim patterns, you can simulate a variety of scenarios, even those that haven’t yet materialized.

Applying your extreme forecasts to synthetic data enables you to test your insurance strategies against hypothetical situations, helping you gauge your preparedness for unforeseen events.

Why Choose Us?

With 4-Xtra technologies, you’re not just embracing innovation – you’re embracing the future. Our patented technologies ensure you have a competitive edge in a rapidly evolving business environment. We’re not just offering solutions; we’re offering a transformative journey toward enhanced insights, efficiency, and profitability.

Unleash Your Potential:

Whether you’re navigating financial markets, mitigating risks, optimizing strategies, or pioneering new avenues, our SaaS solutions are your trusted partners in innovation. Empower your business to thrive in the face of uncertainty, adapt to change, and uncover opportunities others might miss.

Join the ranks of forward-thinking businesses that leverage extreme event forecasting and synthetic data generation to revolutionize their industries. Choose 4-xtra technologies and embark on a journey towards unparalleled success.

Experience the Future Today. Contact us to learn more about how our SaaS solutions can reshape your business strategies and glide you toward a brighter, more successful tomorrow.

Insights

EPC Data

Leeds Building Society plugs the gap of missing EPC data with new Extreme Forecasting and Synthetic Data generating SaaS based AI/ML Engine from 4-Xtra.

Who we are

The leadership Team of 4-Xtra Technologies

Our team is composed of seasoned experts in their respective fields.
Learn more about their individual contributions and their collective efforts in making this innovative breakthrough possible.

Janos Gyarmati-szabo - Co-inventor

Janos Gyarmati-szabo

Co-Inventor

Lukas Cironis - Principle data scientist

Lukas Cironis

Principal Data Scientist

Leonid Bogachev - Co-inventor and academic lead

Leonid Bogachev

Co-Inventor and Academic Lead

Arshad Mairaj - Director

Arshad Mairaj

Director

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