The artificial intelligence industry has no shortage of users. The harder problem is turning that usage into a sustainable business.
As generative AI applications spread across consumer and enterprise markets, developers are confronting an unusual combination of opportunities and pressures. AI can make software faster to build and easier to distribute, but the costs of supporting increasingly sophisticated interactions can rise with usage. At the same time, subscription models may not be enough to capture the full economic value of millions of free users.
Velocity is building around that gap, and the company has gained a new investor with deep roots in advertising technology. AppLovin has joined Velocity’s roster of investors as the startup continues developing what it calls the monetization and distribution infrastructure for the AI era.
For Velocity CEO and co-founder Tal Shoham, the addition represents an important endorsement of the company’s direction. “We’re incredibly excited to welcome AppLovin as an investor in Velocity,” Shoham said in a LinkedIn post.
AI Has A Monetization Problem
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The first generation of AI products largely competed on capability. Companies raced to launch smarter assistants, more powerful creative tools, and applications that could automate increasingly complex tasks.
The next phase may be defined by economics.
AI applications can be expensive to operate, particularly as users demand longer interactions, more sophisticated reasoning, and richer outputs. Yet many products still rely on free access to attract users and build market share before attempting to convert them into subscribers.
That creates a difficult balancing act. Restrict free usage too aggressively and companies risk limiting engagement and slowing adoption. Keep products free for too long and the cost of serving users can become difficult to justify.
Velocity’s strategy is based on adding another option to that equation: monetization through advertising and recommendations designed around real-time user intent.
The Intent Advantage
In traditional digital advertising, companies have often relied on signals gathered from a user’s past behavior. AI introduces a potentially different source of information: what a person is explicitly asking for right now.
When someone interacts with an AI application, they may reveal precisely what they are trying to accomplish. They could be researching a purchase, comparing products, looking for a service, or trying to solve a specific problem.
Velocity is building infrastructure intended to interpret those interactions and connect relevant commercial recommendations to the context of the conversation.
The company’s broader argument is that this approach could allow AI applications to monetize users without immediately placing them behind subscription paywalls. Instead, advertising revenue could help fund expanded access, giving users more opportunities to experience a product while potentially increasing the likelihood of future conversion.
It is a model that reflects a larger shift in how software companies think about growth. In the AI era, the most valuable commercial signal may not be who a user is or what they did yesterday, but what they are trying to accomplish right now.
AppLovin Enters The Picture
The arrival of AppLovin as an investor gives that thesis a connection to one of the established players in advertising technology.
For Velocity, the investment comes as it seeks to build a new infrastructure category at the intersection of AI and advertising. AppLovin’s participation adds experience from a market that has spent years developing systems for connecting advertisers, applications, and audiences.
Shoham described the company’s relationship with AppLovin as a meaningful tailwind for its ambitions.
“Having one of the world’s leading advertising technology companies join us on this journey is a powerful tailwind as we build the monetization and distribution infrastructure and the growth engine for the AI era”
The investment arrives as the advertising industry itself faces a potential transformation. If AI assistants and applications become major gateways for product discovery and decision-making, the mechanics of advertising could shift from keyword-based search and audience targeting toward conversational intent.
Velocity is positioning itself for that transition.
Building For A Multi-Platform AI Market
The company says it has spent the past several months scaling its platform across iOS, Android, and Web. It is also partnering with leading advertisers and AI companies and says its technology now monetizes millions of AI interactions every day.
The multi-platform approach reflects the reality of the emerging AI market. AI is not confined to one device or one application category. It is appearing in mobile apps, web services, productivity software, creative tools, and specialized products.
For infrastructure providers, that fragmentation creates both a challenge and an opportunity. The companies that can help AI applications monetize consistently across different environments could become important parts of the ecosystem.
“We’re still at the very beginning, and couldn’t be more excited for what’s ahead.”
The Business Model Behind The AI Boom
Velocity previously raised $27 million in seed funding led by NFX and Red Dot Capital Partners, with participation from Stardom Ventures, Corner Ventures, and Transcend. Shoham founded the company with Amir Shaked and Nimrod Zuta, former executives at ironSource and Unity.
The founders’ background in monetization and advertising is central to Velocity’s approach. Rather than treating monetization as something that happens after an AI product achieves scale, the company is attempting to make it part of the infrastructure from the start.
That may prove increasingly important as the AI market enters a new phase. The initial race was to build applications people wanted to use. The next race may be to develop the economic engines that allow those applications to keep growing.
With AppLovin now backing Velocity, the startup is positioning itself for that next contest, one in which the winners may be determined not only by the intelligence of their AI, but by how effectively they can turn user intent into sustainable growth.
