Fin&Tech Community report – December 8th 2017 – Part 1

What 
The 
Fintech!

Europe is currently in the grip of a Fintech revolution with 2018 set to be a pivotal year for startup companies looking to transform the financial world.

I hence went to gauge the French Fintech sector’s temperature at the FIN&TECH COMMUNITY held on December the 8th at Palais Brongniart in Paris.

 As I walk through La Bourse doors, it is like I am travelling back in time, back to the traditional open outcry trading. What ironic to host a Fintech event in such a place.

 In the meantime, I can feel that we are the new stockbrokers, the future of the financial industry.

As I try to sit in a crowded conference room where about 1000 participants are hustling not to miss a piece of info, we have no doubt about being the new impact makers!

Note: This is the 1st article of the two parts report written by Nada Rafi on the Fin&Tech Community day organized by Finance Innovation the 8th of December 2017 in Palais Brongniart (Paris). Part 1 (this article) introduces the Fin&Tech community and zooms on the labeled startups. Part 2 come back on noteworthy information that came to her ear during the event.

FIN&TECH COMMUNITY AT A GLANCE

It’s a key event for the financial ecosystem that illustrates the will of FINANCE INNOVATION technology cluster to provide an accurate forward-looking vision of tomorrow’s French financial industry by pulling together, around the ongoing digital transformation, all the concerned actors: banks, insurance groups, financial startups, academic poles, competitiveness poles, public authorities etc…

Since 2007, there has been 570 innovative projects that were labeled by FINANCE INNOVATION. On this basis, project holders have access to a wide service offer: Upstream of the label, they are accompanied by a pool of experts who challenge their project in many aspects (strategy, market, targets, business model, management, skills etc…).

Once labelled, they also benefit from the FINTECH GROWTH program in order to deepen their strategy, their commercial development, their international growth, the access to the research tax credit and tax optimization. They can also benefit from the FINTECH FAST TRACK program designed as an innovation lever for large financial groups.

Several themes are addressed by these innovative projects. They concern mainly:

  • New technologies such as Big Data, AI, Blockchain
  • Social issues such as housing, prevention, health
  • Financial engineering issues such as factoring, crowdfunding, SME scoring, financial supply chain
  • Risk management in a broad sense such as cybercrime, digital protection, and the payments sector obviously

ZOOM ON THE LABELED STARTUPS

40 FINTECHS have received an Excellence Award during this 6th edition: 7 startups in the Insurance sector, 8 in the Bank category, 9 in Asset Management, 8 in the Finance & Consulting era, 3 in the Real Estate sector and 5 in the Social Solidarity Economy.

Considering this high attendance, 2 minutes and not a second over, this was the time allowed to all the participants that were here to do their pitch.

Even a conference facilitator was there to prompt the discussions to move forward!

Below are presented some of the Bank category players:

Note: This is my personal opinion based on their very short presentation on stage. We all know that the pitch exercise is harder than it looks and this is what I perceived while listening to them. If my feedbacks can help any enhance their elevator pitch, they’re welcome, for the others that I may have offended, I know that a project does not come down to a business model or an idea, it’s also the expertise, the people behind, the passion, all these things that I could not catch in only 2 min.

1 – ICA_ The Independent Calculation agent

Pitch: Software as a Service to support the banking industry with the latest regulatory risk and xVA trading challenges

An innovative turnkey solution using Big data and cloud computing technologies to ease (cost and time) trading activities risk management.

It’s not for us to say:

The business model is clear, however I don’t see the competitive advantage for big banks that have their own models, their own big data platforms already.

Besides, nothing is said about data integration, management, encryption whereas it is more data than calculation that matters (even if the developments have been done by former GAFA programmers).

A fair promise but maybe more dedicated to smaller financial institutions.

The ICA Web site: http://www.the-ica.com

2 AGRILEND

Pitch: The first crowdfunding platform dedicated to the agricultural sector

It’s not for us to say:

I support all efforts and initiatives aiming at promoting sustainable finance and green economy for a better future.

It’s hence a praiseworthy initiative that will help with the agricultural Big Bang.

Agrilend web site : https://agrilend.fr

3 DEECISION

Project DNA_ Deal and network amplifier: Beyond KYC

Pitch: Deal & Network Amplifier for private banking

The first solution of decision support which reveals your customers’ intelligence & data networks.

It’s not for us to say:

The KYC topic? We all agree that we’ve seen it over and over again but then I hear “Beyond kyc” which aroused my curiosity….

Unfortunately, the internal/external surveying, the 360° client view that drastically enhances collaboration and increases efficiency has not managed to convince me.

Deecision web site: http://deecision.com/fr/dna

4 CARDABEL

Project MAR-ML

Pitch: The Alternative ‘Inappropriate Trading’ Detection Solution

The First Machine Learning Solution to detect known and unknown types of inappropriate trades in Capital Markets

It’s not for us to say:

All evidence is that this is far more easily said than done. Indeed, with my anti-fraud background all I can say is that there’s no silver bullet that can detect a fraudulent pattern without a minimum of data mapping. As for their MAR-ML project: apply supervised machine learning algorithms to market abuse detection maybe a more promising concept. However, their business model is not clearly presented. What are we paying for?

Cardabel web site: http://www.cardabel.com

5 KERNIX

Project: Scoring-ML

Pitch: Tailored web development for multi-channel digital solutions

Their new project is about providing a new scoring model that better reflects the undertaking’s risk profile.

It’s not for us to say:

I was not expecting a digital agency with a strong expertise in web and mobile apps development, SEO, UI and UX design, to move into the financial world. It’s maybe because one of the two co-founders is “passionate about new technologies and eager to learn new skills through the activity of his clients”.

The figures seem to speak for themselves as they boast about having increased the credit granting by 20%.

Kernix web site: https://www.kernix.com

 6 PAYLEAD

Project: ALO (Account linked Offer)

Pitch: It all starts with banks

PayLead allows banks to engage with their cardholders by sharing personalized offers funded by merchants. Consumers receive personalized offers that are tied directly to their credit card.

It’s not for us to say:

It could have been useful when Icarried dozens of loyalty cards in my wallet. Besides, with sales, pre-sales, private sales, black Friday, birthday offers, Christmas offers, Valentine’s day offers, Mother’s day offers etc… Who need additional ones? I guess they might have a target…

Paylead web site : https://www.paylead.fr

 AND THE WINNER IS…

 DREAMQUARK: THE FINTECH OF THE YEAR

Scale up Artificial Intelligence in financial services

 Based on 3 main pillars, the company guarantees an important ROI anywhere in the organization.

  1. Simple to use, easy to deploy, highly scalable
  2. Powerful proprietary Deep Learning technology
  3. Unique interpretable decisions & bias identification

“Brain”, their flagship product, offers AI-powered algorithms to help financial institutions from risk management (Fraud, anti-money laundering) to credit scoring or portfolio management.

They score points by proposing a full transparency of AI algorithms as they say they can explain individual decisions of the algorithm to customers and regulators and even identify bias before the go live.

I’m waiting to see…

Dreamquark web site : https://www.dreamquark.com

You can continue reading Fin&Tech community day on part 2 of the report.