Voyantis, an Israeli startup that offers a prediction-based growth operating system, raised $19 million in Seed funding from such notable investors as Target Global, Square Peg, and Schusterman Family Investments. With this round Voyantis came out of stealth mode and the company said that it will use the new funds for further development of its codeless Artificial Intelligence (AI).
This usually starts by tapping into the markets that are already out there and making your pitch. But how do you find these potential markets? How can a new business be sure that it is not wasting time and resources by pursuing the wrong markets or locations? This is where a company like Voyantis comes into the picture.
Developing a customer base is probably the hardest task for any startup. Small businesses that offer local services can go by word of mouth and people simply passing by. But when you offer an entirely new product, or one that will compete with the already established companies, your new firm will need to somehow create an entirely new customer base.
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Founded in 2020 by CEO Ido Wiesenberg and CTO Eran Friendinger, Voyantis offers Marketing and Growth teams to onboard game-changing optimization capabilities based on predictive LTV modeling, engineering free.
Top global brands who already use Voyantis show significant ROI uplift, acquiring and retaining the most valuable users, at scale.
Voyantis turns ‘rocket science’ tech into an off-the-shelf, engineering-free product that any marketing and growth leader can easily deploy.
The company’s founders explain that these days all companies are “making the shift to get on the path to profitability so it is crucial to understand, and act on the future value of each user.”
And they say that this is why they created Voyantis: “To transform the way online businesses acquire and retain customers of the highest value, with superior predictive AI solutions and insights from thousands of data points to efficiently achieve exponential profitability by transitioning to LTV-based growth.”
And Ido Wiesenberg said, “Talking to hundreds of customers we realized that there’s a need to shift from decision making based on spreadsheets and calculations, to decision making based on machine learning and predictions.”
“Another realization is that predictions alone are not enough, the capability to seamlessly act on them is no less important,” he added. “That’s why we built the platform to support both decision-making, and actions with zero R&D needed.”