The 8th of November, our partnership with Finance Innovation brought us to Station F, the biggest startup incubator in the world.
There, we had the chance to bump into some FinTechs. Of all those thought-provoking conversations, four particularly caught our attention:
Cardabel applies unsupervised Machine Learning to fraud detection. Instead of relying on pre-defined rules, its algorithms detect abnormalities from a statistical perspective.
Able to digest raw historical data, it detects atypical trading strategies, abnormal transactions and odd evolution of key indicators.
Rather than replacing traditional tools relying on key patterns or words that can still be mandatory from a regulatory standpoint, Cardables enhances them by reducing false positives – but also identifies potential frauds those tools would not be able to, for lack of known comparable. Icing on the cake, Cardabel is built to be implemented swiftly, which its track record proves.
We previously wrote about the future of Asset Management: Active Asset Allocation might be one of its builders.
Winner of the Ladies of Fintech award, active asset allocator is a robo aimed at institutional investors, pension funds and asset managers.
Its asset allocation techniques are based on risk management: it helps investors in effectively reducing their risk while remaining totally agnostic to their preferences in terms of asset class or strategy. The self-proclaimed aim of Active Asset Allocation is to promote long term savings, France and Europe-wide.
With already €1 Billion rotating on the platform, it does not attempt to replace asset managers, but to help them decreasing risk through numerous techniques and extending their comprehension of markets, from their own perspectives.
Turgot Am is a traditional Asset Manager, but the subject of our exchange was elsewhere. To help wealth managers in improving their offer, they built a multi-insurer subscritpion hub for personalized profiled management. It addresses the whole customer pathway: KYC, Allocation, risk calculation, performance ratios, and client reporting, all of which under white label. The end customer has then a comprehensive vision of the term capital obtained according to the investment horizon.
A comprehensive offer of UCITs is available on their platform, as well as their own funds. It is compatible with life insurance and retirement savings.
Currently aimed at wealth managers only, the tool may well open to private bankers – who knows.
After catching our curiosity with its name, Liliane kept our attention with its objective: becoming a TripAdvisor for fund allocations.
The principle is simple: clients determine an investor profile. They access a catalog of allocations that are compared daily from performance, risk and social responsibility standpoints. The right tools are provided within Liliane to follow and analyze each proposal in depth. On top of those analytics, user comments can be key to deciding which solution to select: the contact button is right on the allocator’s profile, Linkedin-like, and a C2B2C chat service is integrated.
Free for retail clients, its main target, Liliane is subscription based for professionals. To extend its reach, Liliane is also available in white label for private bankers and insurers willing to showcase their allocation models.
We look forward to follow and exchange again with those enterprises.
Again, thanks to Finance & Innovation for this nourishing event.