Gematria Technologies

From qualitative information to quantitative insights
We leverage the latest AI technological breakthroughs, as recent as summer 2020, to build software solutions enhancing capabilities of finance experts.

Product Development

Enhancing human performance

We apply our world-class machine learning skills to finance. In particular, recent advances in Natural Language Processing (NLP) bring the machine to human level in numerous tasks, such as text generation, summarization or question answering. We use these latest breakthroughs to derive quantitative insights from textual data, be it equity research, tweets, annual reports or earnings transcripts.

Our software uses NLP to help analysts write reports faster and allow traders and asset managers to be more efficient when looking for insight. We aim to generalize access to equity and credit research by retailing targeted reports.

Client Specific

Product integration is tailor-made to the client's needs, from data sources to UX design. The greatest the competitive advantage in data access, the stronger the resulting model.

Largest Scale

Our engineering expertise allows us to efficiently update AI models made of billions of parameters and trained on text corpora made of trillions of words.

Academic Expertise

Our experience and connections at the very best research institutions make it easy for us to stay on top of the latest scientific and technological advancements.

Client Specific

Largest Scale

Academic Expertise

Product integration is tailor-made to the client's needs, from data sources to UX design. The greatest the competitive advantage in data access, the stronger the resulting model.

Our engineering expertise allows us to efficiently update AI models made of billions of parameters and trained on text corpora made of trillions of words.

Our experience and connections at the very best research institutions make it easy for us to stay on top of the latest scientific and technological advancements.

About Us


Gary Bécigneul, PhD

Gary is a 25-year-old, ex-MIT researcher in AI/NLP and did his PhD in the field at ETH Zürich, supervised by Prof. Thomas Hofmann, ex-head of Engineering at Google Zürich. He obtained his Master in Mathematics from Cambridge University at age 21. In 2015, he received the Junior Fermat Prize awarded every two years in France for a contribution to mathematics while in undergraduate studies. His AI research is already cited by hundreds of academic papers. In his free time, he participates in kickboxing tournaments.


Louis Abraham

Louis is a 22-year-old computer scientist holding Master’s degrees from ETH Zürich and École polytechnique. He finished high school at 15, being the youngest laureate of the Concours général in Mathematics, and at 17 became the youngest to enter École polytechnique. His team won the ACM ICPC SWERC 2019, the most prestigious programming contest between European universities. He previously worked as a quant at BNP Paribas London, conducted research in deep learning at ENS Ulm and economics at PSE and Bank of France. In his free time, he is a classical concert pianist and studies orchestral conducting.

Gary & Louis met each other in cryptography classes at ETH Zürich, and co-authored AI research together with Alex Smola (director for machine learning at Amazon Web Services) and Bernhard Schölkopf (director of the Max Planck Institute for Intelligent Systems). They are both driven by fierce competition and their skills are highly complementary.

Contact us

contact@gematria.tech

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