Voyantis Raises $41M to Help Companies Transition to Efficient Growth, by Focusing on the RIGHT Customers at the RIGHT Time
Voyantis, the AI-driven growth platform for customer acquisition and lifecycle optimization, announced it raised $41M in funding, bringing its total funding to $60M. Voyantis has tripled its ARR two years in a row and the funding will fuel and expedite its rapid growth trajectory. The round was led by Intel Capital with participation from Square Peg, Target Global, Jibe, Redseed, Alicorn, 20Growth, Essential and ICON. Intel Capital Investment Director Lisa Cohen will also join Voyantis' board of directors to further accelerate the company's growth.
Voyantis was founded on the premise that evolving global economy fundamentals were causing companies to shift away from growth-at-all-costs strategies towards efficient and fiscally responsible growth practices, with a focus on improving Unit Economics. With a bold mission to reimagine, transform and streamline the whole growth process, Voyantis empowers growth teams to identify, acquire, engage, and retain their most valuable customers. Voyantis combines predictive and prescriptive AI to eliminate the guesswork traditionally involved in assessing a customer's potential value and delivers the user automated actions on the next steps and execution timing.
'We built Voyantis because we believed that the traditional Growth playbooks were primed to be completely re-written in the AI-era. Our new AI-based approach to Growth, opens up a vast new world for Growth and Acquisition teams,' said Ido Wiesenberg, Co-Founder and CEO of Voyantis. 'Our mission is to empower businesses to increase profitability and improve unit economics by leveraging AI to acquire, nurture and retain the right customers for their business based on the platform's ability to assess the future value of a customer at any given point of time throughout their journey and couple the prediction with the optimal set of actions. We are proud to partner with Intel Capital to redefine how businesses achieve sustainable, healthy and predictable growth.'
Voyantis tripled its customer base in 2024. Companies such as Miro, Rappi and Moneylion rely on Voyantis to automate the acquisition of high-value customers on an individual's lifetime value (LTV) basis, which is predicted and continuously updated at every stage of the journey using anonymized first-party, declarative, engagement, and revenue data. These predictions are then coupled with AI-generated prescriptions that produce targeted actions or incentives executed directly via platforms such as Salesforce and Braze.
'Having worked with our portfolio companies at Intel Capital to increase efficiency over the past few years, we've noticed a broader trend across the market: companies of all sizes are focusing on driving smarter, more intentional campaigns that maximize LTV. Voyantis is positioned to enable and automate this shift, empowering companies to optimize and prioritize acquiring, nurturing and retaining the most valuable customers,' said Lisa Cohen, Investment Director at Intel Capital. 'Voyantis' ability to productize the connection between predictive and prescriptive AI redefines how businesses unlock customer value. Seeing their customers reporting to their boards based on the Voyantis growth metrics solidified our faith in their ability to help companies grow.'
With offices in the US, EMEA, LATAM and Israel and over 70 employees, Voyantis is on a rapid global growth trajectory. The funding will enable Voyantis to expand hiring efforts across sales, marketing, and delivery teams to optimize GTM strategy and pursue further R&D initiatives.
About Voyantis:
Voyantis helps companies to focus on the RIGHT customers at the RIGHT time - for every step of the customer journey. Voyantis is at the forefront of using AI to transform growth strategies. By leveraging user-level lifetime value (LTV) predictions and AI-generated action prescriptions, Voyantis enables businesses to acquire, retain, and nurture high-value customers with precision and efficiency. Companies such as Miro, Rappi and Moneylion rely on Voyantis's AI platform to automatically trigger actions such as acquiring the right customers on Google and Meta, allocating incentives to the right customers via Salesforce and Braze, and triggering the right upsell options at the right time for each of their customers.
Voyantis helps companies to focus on the RIGHT customers at the RIGHT time - for every step of the customer journey. Voyantis is at the forefront of using AI to transform growth strategies. By leveraging user-level lifetime value (LTV) predictions and AI-generated action prescriptions, Voyantis enables businesses to acquire, retain, and nurture high-value customers with precision and efficiency. Companies such as Miro, Rappi and Moneylion rely on Voyantis's AI platform to automatically trigger actions such as acquiring the right customers on Google and Meta, allocating incentives to the right customers via Salesforce and Braze, and triggering the right upsell options at the right time for each of their customers.
For more information, visit https://www.voyantis.ai/.
SOURCE: Voyantis
Copyright Business Wire 2025.
PUB: 02/11/2025 09:33 AM/DISC: 02/11/2025 09:33 AM
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Axios
an hour ago
- Axios
Axios AI+ NY Summit: AI's rapid rise outpaces guardrails
NEW YORK – AI and the internet are outpacing oversight — threatening kids, creatives, national security and even basic innovation, leaders across tech, politics and entertainment said at the Axios' AI+ Summit. Why it matters: AI is transforming industries and society faster than it can be regulated, creating sweeping, serious security risks, according to several speakers. The June 4 summit hosted multiple conversations and was sponsored by BCG, Booking Holdings, Snyk, Varonis, and Workato. Here are some key takeawayes: WndrCo founding partner Jeffrey Katzenberg said kids' unsupervised use of the internet is "destroying a generation." Lumen Technologies president and CEO Kate Johnson said telcos aren't innovative enough and have ceded too much ground to Big Tech. The Weather Company CEO Rohit Agarwal said AI could help forecasters be as specific as giving guidance on what time of day to walk your dog. Gov. Kathy Hochul (D-N.Y.) made a dig at Rep. Marjorie Taylor Greene (R-Ga.) for saying she didn't know the GOP's "big, beautiful" tax bill included a provision that would ban states and municipalities from regulating the tech for 10 years. Lux Capital co-founder Josh Wolfe said the best way to beat China in the AI race is to "make sure every single young" person is super well-versed in AI. Actor and entrepreneur Joseph Gordon-Levitt said there needs to be an incentive to keep creatives paid and employed as AI disrupts the entertainment business. Content from the sponsored View from the Top conversations: Vlad Lukić, BCG managing director and senior partner, and global leader for its tech & digital advantage practice discussed the disconnect between corporate AI investment and tangible outcomes. According to a recent study of 1,000 companies, "Over 75% of them are with budgets in this year deploying AI at scale, but only 25% of them have a line of sight to value creation from those activities," he added. Danny Allan, chief technology officer at Snyk, said visibility, false expectations, and proper policies are lacking behind the pace of AI-powered software development. "The speed and velocity that software is coming through the pipelines is like nothing I have ever seen in my career right now. It's so, so fast. And the trouble that CISOs have is they don't have the trust that what is coming through that pipeline is actually secure." Bhaskar Roy, Workato chief of AI products and solutions, said businesses will experience real transformation when AI agents tackle the "messy middle." "There are a few companies that are targeting the core and looking at how they can transform the core with … agentic AI and that's what excites us." Rob Sobers, chief marketing officer at Varonis, warned that security risks, like "AI model poisoning" where attackers inject malicious data into AI models, could impact people's lives. While working with an organization researching Alzheimer's, they noticed a hacker feeding the organization's custom AI model new data out of nowhere, Sobers said. And, "that could change subtly the dosage of a medication that you're giving somebody. … It's super important to get the trust and security layer right."
The Verge
an hour ago
- The Verge
iOS 26's new ‘adaptive power' mode dials back performance to save battery
Apple is working on a new 'adaptive power' feature in iOS 26 that aims to make your battery last longer. In the iOS 26 developer beta, Apple describes the feature as a way for the iPhone to make 'small performance adjustments to extend your battery life,' including by lowering screen brightness and 'allowing some activities to take a little longer.' Apple also notes that it may automatically enable Low Power Mode, which restricts background activities, when your battery reaches 20 percent. Bloomberg 's Mark Gurman first reported on the possibility of an AI-powered battery optimization feature for the iPhone last month. At the time, Gurman said that the feature will use the 'battery data it has collected from users' devices' to determine which apps it should lower power consumption on. Google has a similar Adaptive Battery feature for Android phones, which it says uses AI to analyze how you use your phone, allowing it to shut off lesser-used apps in the background. The Adaptive Power toggle currently exists alongside Low Power Mode in the Battery > Power Mode section of the Settings menu in the iOS 26 developer beta. Apple plans to release the iOS 26 beta to more users next month before rolling it out to everyone in the fall. Along with a new 'liquid glass' design, iOS 26 adds a bundle of new features, including updates to the Camera, Phone, Safari, and Messages apps, as well as Apple Intelligence-powered live translation for text messages and calls.
CNET
an hour ago
- CNET
The Scientific Reason Why ChatGPT Leads You Down Rabbit Holes
That chatbot is only telling you what you want to believe, according to a new study. Whether you're using a traditional search engine like Google or a conversational tool like OpenAI's ChatGPT, you tend to use terms that reflect your biases and perceptions, according to the study, published this spring in the Proceedings of the National Academy of Sciences. More importantly, search engines and chatbots often provide results that reinforce those beliefs, even if your intent is to learn more about the topic. For example, imagine you're trying to learn about the health effects of drinking coffee every day. If you, like me, enjoy having exactly two cups of joe first thing in the morning, you may search for something like "is coffee healthy?" or "health benefits of coffee." If you're already skeptical (maybe a tea purist), you might search for "is coffee bad for you?" instead. The researchers found that framing of questions could skew the results -- I'd mostly get answers that show the benefits of coffee, while you'd get the opposite. "When people look up information, whether it's Google or ChatGPT, they actually use search terms that reflect what they already believe," Eugina Leung, an assistant professor at Tulane University and lead author of the study, told me. The abundance of AI chatbots, and the confident and customized results they so freely give you, makes it easier to fall down a rabbit hole and harder to realize you're in it. There's never been a more important time to think deeply about how you get information online. The question is: How do you get the best answers? Asking the wrong questions The researchers conducted 21 studies with nearly 10,000 participants who were asked to conduct searches on certain preselected topics, including the health effects of caffeine, gas prices, crime rates, COVID-19 and nuclear energy. The search engines and tools used included Google, ChatGPT and custom-designed search engines and AI chatbots. The researchers' results showed that what they called the "narrow search effect" was a function of both how people asked questions and how the tech platforms responded. People have a habit, in essence, of asking the wrong questions (or asking questions in the wrong way). They tended to use search terms or AI prompts that demonstrated what they already thought, and search engines and chatbots designed to provide narrow, extremely relevant answers, delivered on those answers. "The answers end up basically just confirming what they believe in the first place," Leung said. Read more: AI Essentials: 29 Ways to Make Gen AI Work for You, According to Our Experts The researchers also checked to see if participants changed their beliefs after conducting a search. When served a narrow selection of answers that largely confirmed their beliefs, they were unlikely to see significant changes. But when the researchers provided a custom-built search engine and chatbot designed to offer a broader array of answers, they were more likely to change. Leung said platforms could provide users with the option of a broader, less tailored search, which could prove helpful in situations where the user is trying to find a wider variety of sources. "Our research is not trying to suggest that search engines or algorithms should always broaden their search results," she said. "I do think there is a lot of value in providing very focused and very narrow search results in certain situations." 3 ways to ask the right questions If you want a broader array of answers to your questions, there are some things you can do, Leung said. Be precise: Think specifically about what exactly it is you're trying to learn. Leung used an example of trying to decide if you want to invest in a particular company's stock. Asking if it's a good stock or a bad stock to buy will likely skew your results -- more positive news if you ask if it's good, more negative news if you ask if it's bad. Instead, try a single, more neutral search term. Or ask both terms and evaluate the results of each. Get other views: Especially with an AI chatbot, you can ask for a broad range of perspectives directly in the prompt. If you want to know if you should keep drinking two cups of coffee a day, ask the chatbot for a variety of opinions and the evidence behind them. The researchers tried this in one of their experiments and found they got more variety in results. "We asked ChatGPT to provide different perspectives to answer the query from the participants and to provide as much evidence to back up those claims as possible," Leung said. At some point, stop asking: Follow-up questions didn't work quite as well, Leung said. If those questions aren't getting broader answers, you may get the opposite effect -- even more narrow, affirming results. In many cases, people who asked lots of follow-up questions just "fell deeper down into the rabbit hole," she said.
