The buyer has raised $1.4 billion since its inception in 2012. Italy’s former PM heir’s family office H14 had initially invested in 2018.
Contentsquare, a global leader in digital analytics, has recently announced a definitive agreement to acquire Loris.AI, a leading conversational intelligence platform, drawing on capital raised in recent years from several international venture capital investors, including Italian firm H14, the family office of Luigi Berlusconi, son of former Italian Prime Minister Silvio Berlusconi, which became a shareholder in 2018 (see here the press release).
Founded in Paris in 2012 by Jonathan Cherki, Contentsquare has raised a total of $1.4 billion since its inception. Its latest round dates back to 2022, when the scaleup raised $600 million, including $400 million in equity (Series F) and $200 million in venture debt (see the press release here). At that time, the equity investment was led by Sixth Street Growth, joined by several other new and existing investors, including Bpifrance, Canaan, Eurazeo, Highland Europe, KKR, LionTree, SoftBank Vision Fund 2, and BlackRock. The credit line was provided by BNP Paribas, Crédit Agricole CIB, Goldman Sachs, JP Morgan, and Société Générale. The entire operation had a post-money valuation of $5.6 billion.
As for Loris, AI, founded in 2019 by Etie Hertz and based in Tel Aviv and New York, has also raised capital from venture capitalists since its inception, who will now complete their exit. The last announced round dates back to 2022, when the scaleup raised $12 million led by Bow Capital, with participation from new investor ServiceNow Ventures, along with existing investors Floodgate and Vertex Ventures (see the press release here). Vertex led the previous $5.1 million round raised in 2021, which also included participation from LinkedIn’s executive chairman, Jeff Weiner (see JewishBusinessNews here).
Loris has assembled a world-class team of data scientists, machine learning experts, behavioral linguists, and technologists to improve empathy in digital conversations and make customer support more scalable.
