L’annuaire des startups “FinTech” sur Forinov

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Alphien

Alphien

FinTech

Finch Financial Industry Quantitative Research

Alphien is a fintech that connects the financial industry and the scientific world through a platform dedicated to quantitative research.

The financial industry is undergoing a transformation and is trying to apprehend markets in a more scientific manner. Thanks to big data, we are moving from a world where investment decisions were made by men to a world where decisions are made by algorithms.

Most players in the financial industry lack the technology and know-how to participate in this evolution. On the other hand, scientists dream to have access to an effective tool to create and test their research.

Alphien has developed a platform that meets both these needs: It offers scientists the technology and data they need to test and commercialize the fruit of their research. In the meantime, Alphien allows financial institutions to organize competitions on the platform to submit their investment ideas to the best researchers.

Thus, we offer innovative access to research and quantitative management.

Thomas

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DeltaBlock

DeltaBlock

FinTech

Mission: To accelerate the world's transition to more democratic capital markets by Improving the liquidity of relatively illiquid stocks.

Vision: Create opportunities for listed companies to harness the full potential of capital markets

We improve the liquidity of less traded assets by improving its key indicators (market quality) through trading algorithms; engaging traders, reducing the risk perception and enhancing the visibility of the company behind the asset.
The CTO & Co-Founder (Hamza El Khalloufi) has a PhD. In Math applied to liquidity modelling and has stand out as a quant modeller in top financial institutions in France. The CEO & Co-Founder (Maria Silvia Scetta) used to be a Trader and Portfolio Manager, has worked for top institutions such as J. P. Morgan and is specialized in relatively illiquid assets. This team has found a gap in European markets and is planning on enhancing liquidity of relative less liquid assets (mostly in the Mid.Cap space) using cutting edge research in math and expertise in the matter.
DeltaBlock is currently building a Proof of Concept with a top western European exchange and have a beta version “live” with paid customers.

Thomas

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Dreamquark

Dreamquark

FinTech

DreamQuark develops Brain, an Artificial Intelligence platform dedicated to business users and Citizen Data Scientists in banks & insurance. Brain delivers explainable predictions for better business decisions and is in production at BNP Paribas, Groupama GAN and AG2R LA MONDIALE, Royal Bank of Scotland NATWEST, La Vaudoise to name a few.

Building and deploying business-centric and industrial AI applications requires unique data science skills, deep business knowledge and IT expertise altogether. To remove these barriers, Brain has been developed to automate data science tasks and simplify predictive models industrialization. Within few clicks, business users can create powerful AI based business application which can be easily deployed in any existing IT system through APIs.

Brain leverages patented Deep Learning and advanced algorithms, which benefit from years of in-house research and development. The platform provides users with explanations for every single prediction the platform generates, empowering business users to keep full control of the technology, validate business sense and comply with regulations & ethical standards.

Thomas

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Epsor

Epsor

FinTech

Epsor ouvre la voie vers une épargne simple, engagée et adaptée à chacun. Vers l’épargne des salariés. Nous guidons chaque salarié dans son parcours d’épargne et lui donnons les moyens d’aller dans la bonne direction et de réaliser ses projets.

Epsor c’est :

• Impact : allier rendement et responsabilité, avec des offres toujours plus exigeantes, engagées et transparentes.
• Sur-mesure : construire des solutions d’épargne parfaitement adaptées à chaque profil et à chaque projet, avec un conseil personnalisé au plus près des besoins de chacun.
• Pédagogie : donner les clés à chaque salarié pour qu’il puisse être acteur de son épargne, et puisse ainsi prendre les bonnes décisions.

Thomas

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Finturi

Finturi

FinTech

SME

Blockchain

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At Finturi, we share a mission of solving cash flow problems of businesses and helping them grow. Our research shows that an average Dutch business faces a cash-flow problem 3.7 times/year. The current methods of raising working capital are expensive, slow and paper heavy. With the use of technologies like blockchain, artificial intelligence and machine learning, we aim to make the process of raising working capital secure, quick, low cost and easy.

We start with building a win-win platform which connects businesses with financiers and helps them borrow money against invoices. This platform also gives financiers an opportunity to invest in invoices and earn honest returns in limited period. At a later stage we aim to build a peer to peer invoice financing platform which involves, businesses, their clients as well as financiers. Our end goal is to make the entire process of supply chain financing much more efficient and faster with the use of technology.

Thomas

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Nephelai

Nephelai

FinTech

IntelligenceArtificielle

ExcellenceOperationnelle

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Nous sommes une fintech fondée par 4 associés ingénieurs il y a 2 ans.
Nos clients sont les banques d'investissement, gestionnaires d'actifs, courtiers, asset servicers, et nos utilisateurs les équipes Front Office de trading et Middle Office.
Nous sommes une assistance à la saisie et à l'enrichissement des transactions financières, afin d'améliorer la competitivité de nos clients, à l'aide d'algorithmes de Machine Learning que nous avons développé spécialement pour ce cas d'usage.
Concrètement, nous completons automatiquement et avec une grande justesse la plupart des champs nécessaire à la bonne confirmation des transactions, à partir d'une saisie très partielle
de la transaction par le trader.
Nous scannons egalement toutes les transactions saisies dans les différents systèmes et alertons les équipes en temps réel des anomalies, qui représentent, selon l'activité entre 5 et 25 des transactions.
Nous avons deux clients en production, la Société Générale, et OFI Asset Management, un gestionnaire d'actif.

Thomas