DataSine Scores $5 Million Investment in Round Led by BBVA

In a conscious move, BBVA’s Propel Venture Partners has invested into psychology and machine learning (ML) tie-up business DataSine, reports Antony Peyton of Fintech Futures (Finovate’s sister publication).

The bank says it has co-led the latest funding round of $5.2 million (£4 million). BBVA and DataSine do not reveal the other names and have been contacted for more details.

The funding will be used to help DataSine launch a new content personalization platform called Pomegranate.

This is described as a collaborative artificial intelligence (AI) powered campaign platform that “tailors content to personality specific to the customer”.

DataSine founder and CEO Igor Volzhanin said: “I launched DataSine after moving to London to do a PhD in Psychology because I believed that personality can help companies understand their customers as a whole, which empowers them to truly connect with customers through every interaction, and move beyond traditional focus of click optimization.”

The platform works by applying ML to behavioral data that companies already collect to build customer profiles, and provides an AI-powered content editing platform to guide marketers in tailoring a range of content elements, including words and images.

DataSine is entering the SME market through the launch of Pomegranate in March. Pomegranate already integrates with HubSpot and MailChimp, and the company is looking to launch further integrations throughout the year.

DataSine launched in 2015 and has worked with various companies from across Europe, including BNP Paribas and Tinkoff Bank.

For BBVA, it likes to invest in a wide range of firms. Call it hedging your bets or diversification – the choice is yours.

Just last month, it was one of the big names in India-based investment app Groww’s $6.2 million funding round.

Headquartered in London, DataSine demonstrated its Pomegranate personality profile platform at FinovateEurope 2018.

Finovate Alumni News

On Finovate.com

  • Tink Raises $63 Million, Goes Live in Five New European Markets.
  • DataSine Scores $5 Million Investment in Round Led by BBVA.

Around the web

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This post will be updated throughout the day as news and developments emerge. You can also follow all the alumni news headlines on the Finovate Twitter account.

Finovate Alumni News

On Finovate.com

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Around the web

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  • Anorak earns a spot in FinSMEs’ Top 10 U.K. Insurtech Startups to Watch in 2019 roster.
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  • DataSine and FinovateFall Best of Show winner Golden join the Envestnet | Yodlee Incubator’s latest cohort.
  • API platform provider for banking and insurance NDGIT announces strategic partnership with Synpulse.
  • James Finance, Ocrolus, Hydrogen, and iProov shortlisted for India FinTech Awards 2018.
  • PYMNTS highlights WePay Co-founder Rich Aberman in its latest podcast.
  • Jack Henry & Associates introduces a voice-driven consumer billpay solution.

This post will be updated throughout the day as news and developments emerge. You can also follow all the alumni news headlines on the Finovate Twitter account.

FinovateEurope Sneak Peek: DataSine

A look at the companies demoing live at FinovateEurope on the 6 through 9 of March 2018 in London. Pick up your tickets today and save your spot.

DataSine uses psychology and machine learning to help companies create a unique customer experience based on individual needs and personalities.

Features

  • Transforms customer data into valuable personality insights
  • Optimally segments customer audience by personality type
  • Offers automated data and psychology-driven content improvement

Why it’s great
DataSine enables companies to make personalisation possible at scale, building trust with customers and increasing overall engagement and lifetime value.

Presenters

Igor Volzhanin, CEO
Volzhanin founded DataSine in 2015 with a background in psychology and computer science. He is working to change the way banks view their customers.
LinkedIn

James Gin, Chief Scientist
Gin brings experience in financial modeling and business analytics, blending industry knowledge with applied machine learning techniques to find powerful insights in complex datasets.
LinkedIn