Inworld AI provides a developer platform for creating AI-powered virtual characters to populate immersive realities including the metaverse, VR/AR, games, and virtual worlds. Their mission is to create and inspire new meaningful relationships.

Inworld uses advanced AI to build generative characters whose personalities, thoughts, memories, and behaviors are designed to mimic the deeply social nature of human interaction. The Inworld platform features a no-code studio that makes the creation of AI characters accessible to writers, designers, and creators. Integrations with the most popular game engines, like Unreal and Unity, make it easy for developers to deploy characters into game environments.

They are a team of experts that have pioneered conversational AI platforms and generative models at API.AI (acquired by Google and renamed Dialogflow), Google and DeepMind. They are continuing to build out our incredibly talented team, with experts in generative language models, emotions, speech synthesis, multimodal interaction, design, and 3D animation.

Inworld is backed by top-tier investors including Section 32, Intel Capital, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, First Spark Ventures, The Venture Reality Fund, CRV, Meta, Microsoft’s M12 fund, Micron Ventures, LG Technology Ventures, NTT Docomo Ventures, and SK Telecom Venture Capital. Inworld was one of six companies selected for the 2022 Disney Accelerator. Prominent angels include Twitch Co-Founder, Kevin Lin; Oculus Co-Founder, Nate Mitchell; Animoca Brands Co-Founder, Yat Siu; The Sandbox Co-Founder, Sebastien Borget and NaHCO3, the family office of Riot Games Co-Founder, Marc Merrill.

AI/ML

Games

Software

Inworld AI

Inworld AI's headquarters in Mountain View, CA, United States

This department focuses on designing, developing, and maintaining software applications and platforms.

Software Development

The Software Engineering team at Inworld AI is responsible for developing and maintaining the platform that enables the creation and integration of advanced AI-powered virtual characters. This includes building and optimizing the no-code studio, ensuring seamless integration with popular game engines like Unreal and Unity, and enhancing the overall performance and reliability of the platform. The team also collaborates with experts in machine learning, generative language models, and 3D animation to create lifelike characters that mimic human social interactions.

Software Engineering

The Product Management and Marketing team at Inworld AI is responsible for overseeing the development and promotion of the company's AI-powered virtual character platform. This team ensures that the product aligns with market needs and customer expectations, while crafting compelling marketing strategies to drive adoption and engagement. They collaborate closely with design and engineering teams to refine product features, manage the product lifecycle, and create targeted marketing campaigns to communicate the platform’s value to diverse audiences, including game developers, creators, and businesses entering immersive virtual environments.

Product Management and Marketing

The Leadership Team at Inworld AI is responsible for steering the company's strategic direction and fostering innovation in the development of AI-powered virtual characters. Comprising experts in operations, marketing, creative direction, product development, and technology, they work collaboratively to align the company's mission with cutting-edge advancements in AI and immersive technologies. Their leadership drives initiatives that enhance user experience, partner relationships, and market positioning within the rapidly evolving landscape of the metaverse and virtual realities.

Leadership Team

This department focuses on the development and implementation of machine learning algorithms and systems.

Machine Learning

This department is responsible for deploying engineering solutions in direct alignment with client needs and operational goals.

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Software Engineering

Product Management and Marketing

Leadership Team

Machine Learning

Forward Deployment