Finantix, global provider of enterprise solutions in WealthTech, InsurTech and RegTech, announced the acquisition of smartfolios, the creators of quant-enabled investment tools that support the key stages of the digital advisory value chain.
With this acquisition, Finantix is set to combine its enterprise-grade technology and its recently launched AI offering with smartfolios quantitative analysis solutions to deliver a peerless digital wealth management platform with a unique breadth of features and real-time thematic-style analytics.
Finantix provides end-to-end digital wealth advisory services and hybrid robo-advisory solutions to wealth managers, top-tier private banks and insurers in more than 40 markets. Together, Finantix and smartfolios will harness the power of quantitative analysis to provide an engine that covers the full range of investment processes including: strategy building, house view distribution, robo-personalised portfolios, advanced analytics and continuous portfolio fine tuning. The technology will support an extensive product taxonomy and provide real-time thematic-style analysis.
Ralf Emmerich, co-founder and director of Finantix, said: “We are delighted to have smartfolios join the group. The addition of smartfolios will add a critical quantitative analysis element to our well-established digital wealth offering. This acquisition will extend our coverage and support for key actors like CIOs and Investment Strategists and provide a solid foundation for strategic robo-advisory initiatives that don’t follow a low-end formula.”
For Finantix’ clients this acquisition means that they will be able to further tailor their customers’ experience and services and proactively anticipate their needs. In addition, they will be able to understand what’s happening in their book of business across multiple views, including: performance, regulatory compliance, house view adherence, customer behaviour, key opportunities and events detection, next best-action generation and proposal building, advice reasoning and research personalisation.