additiv teams up with Clarity AI to bring sustainability insights to wealth managers
By Megha Bhattacharya
SaaS provider to the wealth management industry, additiv, today announced a partnership with data science tech platform Clarity AI in a bid to provide wealth managers sustainability insights to build smarter portfolios, provide client support and comply easily with regulation.
The collaboration will see additiv clients include Clarity AI‘s sustainability insights into their investment decisions. Through the use of big data and machine learning, Clarity AI aims to assess the sustainability and impact of a portfolio’s investments.
Javier Penalva, Head of Strategy from Clarity AI, commented, “This is an exciting partnership for us. We are passionate about helping wealth managers make smarter decisions around sustainability and assess the impact of companies on our society and planet. The partnership with additiv will expand the reach of our sustainability and impact insights to private banks and wealth managers globally.”
Christine Schmid, Head of Strategy at additiv added, “Sustainable investing is a crucial and fast-growing part of the wealth industry. It is also a key area for providers to differentiate themselves. Clients want to invest in companies that conform with their values and make an impact, being able to do this accurately and dynamically will set wealth managers apart. It will also help wealth managers to better meet new regulatory and disclosure requirements with respect to sustainability.”
Recently, additiv announced the launch of Wealth Solution Builder, a new approach to enable banks and other financial institutions to create their WealthTech end-to-end solution and client journeys. additiv stated that the new solution is expected to assist FIs with the development of functionality and client journeys.
Wealth Solution Builder is built on its DFS system of intelligence, the new product offers access to an extensive and RESTful API catalogue. In addition, IT teams will benefit from access to front-end code libraries and samples, data integration methods, test data sets, postman collections, configuration handbooks, checklists, cookbooks and much more.
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