Synthera AI

We are incredibly pleased to announce our $1.86m pre-seed round, led by Motive Partners and KDX Management LLC, incubated at Entrepreneur First and backed by Robin Capital, BuenTrip Ventures, Angel Invest and exceptional angel investors including Rich Falk-Wallace and Tomás Herrmann. With the deep expertise of Ashby Monk, a Stanford University professor specializing in long-term investing, Michael Hock's extensive experience supporting early-stage fintech startups, Fernando Rivera's success in building a capital markets company, and Robin Haak's proven track record of scaling companies to unicorn status, I am confident we have the support we need to propel Synthera to the next level. This funding marks an exciting milestone for us as we expand our team and accelerate our mission. At Synthera AI, we are developing a proprietary AI engine that generates synthetic financial market data, along with our advisor, Professor Rama CONT from the University of Oxford. By simulating a wide range of market factors—including bonds, FX, commodities, equities, and macroeconomic factors—we help Quants, Portfolio Managers, and Risk Managers capture complex correlations and patterns often overlooked by traditional models. This enables institutions to improve risk forecasts, perform more accurate scenario testing, and hedge more effectively, even against unseen market scenarios. We thank everyone who has believed in us so far and look forward to working with future partners to reshape the financial industry and beyond.

This morning, I had the privilege of catching up with one of my ‘mentees’ Synthera AI from Creative Destruction Lab HEC Paris Aymeric Penven What they’re building at Synthera.ai is nothing short of groundbreaking: 🚀 Synthera.ai is a fintech company redefining financial modeling. They generate synthetic financial market data using advanced generative AI, enabling professional investors to test portfolios and assess risks in ways historical data simply cannot. Here’s the powerhouse team behind it: Founders 💡 Mariana Barona (CEO): First-class degree from Cambridge + Goldman Sachs AM driving growth. 💻 Lukas Schreiner (CTO): Triple master’s (AI, Quantitative Finance) + 5 years as a Quantitative Engineer focusing on AI. Advisor 🎓 Professor Rama CONT : A global authority in quantitative finance and risk modeling. The Impact of Synthera.ai: 💡 Enhanced Stress Testing: Simulate unique market scenarios to test hypotheses and better predict non-linear correlations. 📊 Addressing Data Gaps: Fill in missing pieces of historical data to improve decision-making. ⚙️ Preventing Overfitting: Thousands of simulated conditions = more robust models. 📈 Improved Yield Curve Modeling: Stay ahead of interest rate shifts with cutting-edge predictions. Why it matters: This technology is paving the way for smarter, data-driven investment strategies and deeper insights into market risks. To the team at Synthera.ai: Keep pushing boundaries. The industry is watching! PS : They’re recruiting if you’re ML engineers passionate about the world of finance and capital markets

We are excited to share that we are #hiring a new Founding Data / ML Ops Engineer, to join our early team in London. Apply today or share this post with your network.

Excited to announce that Synthera AI has been selected to join Plug and Play Tech Center’s Silicon Valley and NJFAST Fintech program! Looking forward to the growth and connections ahead. We’ll be presenting at the Silicon Valley Summit (https://pnptc.in/4cFbWPW) on Nov 19th and at the EXPO in New Jersey on Dec 9th. See you there!

Thank you to Plug and Play Tech Center for inviting Synthera to present at the Fintech event in Sunnyvale. We are delighted to have been selected by industry partners to the Plug and Play Accelerator Programme!

We are thrilled to announce that Professor Rama CONT has joined Synthera.ai as our Scientific Advisor. He is Professor of Mathematics at the University of Oxford and head of the Oxford Mathematical & Computational Finance group. Professor Cont is a distinguished figure in the field of quantitative finance, renowned for his pioneering contributions to financial mathematical modeling and quantitative risk management. His groundbreaking research on stochastic analysis, market liquidity, systemic risk and machine learning has been widely published in top-tier journals. He has also been honored with numerous awards for his academic excellence and has acted as a consultant to major financial institutions and regulatory bodies worldwide, influencing both academia and industry. His knowledge and expertise will be of great value to Synthera.ai.

Thank you Wolfson College at the University of Cambridge for shortlisting Synthera.ai as a finalist for the 2024 Entrepreneurship Competition. We are thrilled to have been selected amongst such a talented group of entrepreneurs and glad that you are as excited as we are about this technology!

We are thrilled to introduce Synthera.ai, a first-of-its-kind synthetic data platform for financial markets powered by generative AI 🚀 Every day, thousands of professional investors use Monte Carlo simulations and historical data for strategy formation, risk management, and market predictions. However, Monte Carlos and other parametric methods make fixed assumptions that fail to fully grasp the nuances of market behavior, such as volatility clustering, hidden nonlinear dependencies, and shifting correlations. On the other hand, basing investment decisions solely on historical data risks overfitting, revealing just one of countless possible market outcomes. This creates statistical blind spots that expose investors to unexpected risks. Synthera.ai addresses these challenges head-on. Using recent advances in generative AI, we are producing thousands of realistic yield curves, equity prices, FX rates, and more that retain the true underlying structure and patterns observed in real financial data. With our synthetic data, investors can access insights previously beyond reach, exposing hidden portfolio sensitivities, nuanced predictive signals, and assessing tail risks with unmatched precision, unlocking new opportunities for enhanced risk-adjusted returns. Our initial Value at Risk calculator already exceeds the precision expected from traditional models based on normal distribution by 10x. If you're navigating challenges such as overfitting, breaking correlations during market stress, inaccuracies in volatility and risk metrics, or inflexible stress testing, we would love to hear from you! We've recently secured our pre-seed funding, supported by Entrepreneur First, and will be relocating to San Francisco for three months to gear up for our next funding phase. We welcome connections with investors, quant funds, banks, and others interested in learning more or exploring potential collaborations. The future of finance is synthetic!