DataSine Secures $5.2 mn Series A to Enhance Machine Learning Tech

London: London-based AI startup DataSine, which combines expertise in psychology and AI and machine learning to help businesses personalize their marketing communications at scale, has raised $5.2 million in Series A funding from leading European and US investors, led by Pentech and Propel Venture Partners. Other investors include C Entrepreneurs / Cathay Innovation, Twin Ventures and Sistema_VC.

DataSine’s content personalization platform Pomegranate is a collaborative AI-powered campaign platform that ensures content is tailored to personality. Pomegranate helps businesses tailor content to resonate with their audience, from the segment level down to the individual customer. It applies machine learning 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’s AI-powered personalization to increase customer engagement, CTRs and sales, while their clients enjoy improved user experience through relevant content. The collaborative product philosophy helps marketers make far more informed decisions. This means they can spend less time on tasks like copy tweaking and A/B testing, and more time on being creative.

DataSine applies machine learning to behavioral data to build customer profiles. Those profiles let companies ensure individualized communication. For example, DataSine’s personality test shows up a person as 71% Extroverted, 29% Impulsive, 63% Open-Minded, 58% Agreeable, and 10% Emotional, DataSine uses this data to predict the best way to communicate with such a person predicting aspects like what images would this person like, which fonts would they prefer, which colors and design should be deployed in email communications for such a person. Here’s an example of personalized emails based on a psychological profile:

Personalized Emails Using DataSine's Machine Learning

By helping marketers personalize everything from emails and landing pages to call center scripts, DataSine allows the algorithmic tailoring of customer experience to move beyond traditional personalization and product recommendations. With over 85% of interactions between businesses and their customers expected to occur online over the next five years, it is crucial for businesses to be able to understand customers contextually and create more personal digital experience. The effective combination of social media, AI and personal data adds a new dimension to how marketers can reach out to their customer base and increase revenue streams. This funding round recognizes DataSine’s unique approach to personalization, based on psychology and AI.

DataSine’s expertise in psychology and machine learning has been making waves with its existing enterprise customers across Europe, where its tech has helped achieve uplifts of up to 80% in engagement and 71% in sales using the unique approach.
Now 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.

“I launched DataSine after moving to London to do a PhD in Psychology, because I believed that personality can help companies understand their customers, which empowers them to truly connect with customers through every interaction and move beyond traditional focus of click optimization. By helping businesses build genuine connections, we hope to change the way businesses see their customers,” DataSine founder and CEO Igor Volzhanin said. “With this round of funding, we are now in a great position to deliver on our mission to empower companies to treat their customers like individuals.”

According to Boston Consulting Group, personalization will push a revenue shift of some $800 billion to the 15% of companies that get it right over the next five years in three sectors alone (retail, healthcare, and financial services). Technavio analysts forecast the global AI-based personalization market to grow at a CAGR of close to 13% between 2018 and 2022. 9 out of 10 marketers say their customers expect individualized experiences and, according to Gartner, by the end of this year, organizations that have fully invested in online personalization will outsell those that haven’t by over 30%.

“We feel DataSine is particularly well-positioned to bring psychology and AI to address contemporary marketing challenges,” Marc Moens, a partner at Pentech, the leading investor in this Series A said. “The idea that digital communications can be tailored for an individual in the age of big data is very appealing and addresses the needs of the market. DataSine has a proven ability to drive business outcomes through their technology and we are happy to support them in their growth.”

Rohit Bodas, Partner at Propel Venture Partners, said, “Personalized communication has long been the Holy Grail for marketers. DataSine, built by experts in AI and psychology, holds tremendous promise in delivering personalization at scale. We have been impressed with the traction with global financial institutions and ability to help marketers and business leaders improve sales conversion and customer engagement.”

DataSine launched in 2015 and has worked with leading companies from across Europe, including BNP Paribas, Hello Bank! and Tinkoff bank. It has also received numerous accolades, winning the BNP Paribas International Hackathon and being accepted into the prestigious Techstars accelerator program. Volzhanin holds a PhD in Psychology and Computer Science from the University of London. CTO Chris Loy and Chief Scientist James Gin both hold degrees in Physics from Oxford University and Machine Learning from University College London.

artificial intelligence
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