Inworld enables real-time online experiences. The platform offers an AI runtime — the infrastructure that supports the execution and deployment of AI models and applications — that’s scaled to handle tens of millions of concurrent users. 

It’s also lightning-fast.

Those online experiences extend well beyond games. Inworld’s AI appears in its customers’ applications as personalized language tutors, virtual emcees that provide contextual commentary for live-stream events, and in-app customized guides that help end-users learn to use a whole range of applications more quickly.

Inworld also leverages Gemini internally. The seamless integration of Gemini with Google Workspace makes pulling data from Google Docs and Sheets into Gemini models straightforward — and more secure. They’ve even developed a searchable in-house archive of Meet transcripts in Google Drive .

“That kind of personal care is invaluable,” Gibbs reports. “The close relationship we’ve forged with our dedicated team allows us to put our trust in Google and stay on top of new product developments that enable us to work more productively.” 

Plans are now underway to make Inworld developer tools available through Google Cloud Marketplace . 

“Distribution is always a challenge for a startup,” Gibbs admits, “and allowing customers to procure our runtime through the Marketplace will help get our products and tools into more developers’ hands more easily.” 

Gibbs also appreciates that the AI strategy and philosophy at Google complement Inworld’s own. “AI’s impact goes beyond technology — it has serious social implications as well, he explains. “We develop AI with those risks in mind, and the high-quality research Google conducts demonstrates that it takes them seriously as well.”

Large companies investing in AI have the resources to build bespoke infrastructure and tooling to differentiate their AI capabilities from those of their competitors. While many of Inworld’s customers are enterprise clients and entertainment companies, Gibbs believes it’s important to give all developers ownership over the AI applications they create. “Otherwise, you’re essentially renting a house and then spending millions of dollars of your own money to renovate it,” he observes.

So Inworld is enabling smaller developers to build long-term value and maintain control over their intellectual property by providing access to all different types of scalable models — including those for hardware detection, capacity optimization, and backup cadence — to companies without Fortune 500 resources.

“Inworld’s mission is to deepen engagement — whether you’re playing an online game, using a language-learning app, or ‘hiring’ a virtual coach to get you ready for a marathon,” Gibbs concludes. “We’re using Google AI to push the boundaries of creativity and play, and to inspire a generation of games and other consumer applications that we’ve yet to imagine, and I’m so grateful that we get to have a lot of fun doing it.”