Synthera AI

Synthera AI

Synthetic Data for Financial Markets using Generative AI.

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Synthera AI, a London-based fintech company founded in 2024, is developing a platform for advanced financial market analysis using generative AI. The company was established by Mariana Barona, a University of Cambridge graduate with experience at Goldman Sachs Asset Management, and Lukas Schreiner, a quantitative engineer with three master's degrees in AI, business, and quantitative finance. Their collective expertise in both finance and artificial intelligence addresses a critical gap in the financial industry. The team is also advised by Professor Rama Cont of the University of Oxford, a renowned expert in quantitative finance and risk management.

The company's core business revolves around generating synthetic data for financial instruments such as equities, yield curves, and foreign exchange prices. This service targets professional investors at hedge funds, asset management firms, pension funds, and banks. Synthera's business model aims to provide these institutions with tools to test portfolios against thousands of realistic, yet previously unseen, market scenarios. This approach moves beyond traditional methods like Monte Carlo simulations, which often fail to capture dynamic market shifts and non-linear correlations, leaving investors exposed to unexpected risks. By using proprietary generative AI models, Synthera's platform can identify subtle patterns and shifts in asset correlations, uncovering insights that are often missed by conventional analysis.

The platform's primary benefit is its ability to perform robust stress testing and backtesting of investment strategies. It allows users to model complex, non-linear relationships and tail risks, which are rare but high-impact events. For clients, this translates into a more accurate understanding of portfolio vulnerabilities and potential opportunities. The technology can simulate joint dynamics between yield curves and create dynamic, regime-dependent factor models, offering a significant improvement over static historical datasets. In late 2024, Synthera AI secured $1.86 million in a pre-seed funding round led by Motive Ventures, with participation from firms like Entrepreneur First and Angel Invest. This capital is being used to accelerate product development and expand its team of engineers and data scientists.

Keywords: synthetic data, generative AI, financial market analysis, portfolio stress testing, quantitative finance, risk management, investment strategy, asset management, hedge funds, financial modeling, dynamic scenario testing, predictive analytics, tail risk analysis, non-linear correlation, yield curve simulation, fintech, professional investors, capital markets technology, backtesting, financial software

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