Inworld AI

0.00

Inworld AI creates advanced AI characters for games, enhancing NPC interactions with natural language processing and other technologies.

Visit website

What is Inworld AI?

Inworld AI is a platform that offers AI characters designed for game development. These AI characters are created using artificial intelligence technologies such as natural language processing models, machine vision, speech-to-text, and other computer models to mimic the dynamic and social nature of human interactions. The platform provides features like real-time generative AI, character engine for expressive multimodal AI, contextual mesh for staying in-world or on-brand, and APIs for easier integrations, aimed at enhancing gameplay experiences and interactions with NPCs.

The Inworld AI engine comprises various machine learning and character AI models intended to mimic human gestures, speech, safety, emotions, and memory. It allows for the creation of AI NPCs with advanced cognition, perception, and behavior, going beyond traditional NPCs to include agentic AI that guides, challenges, and entertains players. By leveraging AI technology, Inworld aims to drive player engagement, increase revenue, and enhance core game loops, ultimately providing developers with tools to streamline game design processes and elevate player experiences in the gaming world.

Who created Inworld AI?

Inworld AI was founded by Kylan Gibbs, Ilya Gelfenbeyn, and Michael Ermolenko. Kylan Gibbs serves as the CEO and Co-Founder, Ilya Gelfenbeyn as the Executive Chairman and CSO, and Michael Ermolenko as the CTO and Co-Founder. The team consists of experts in conversational AI and generative models, with a background in launching successful ventures in the AI industry.

What is Inworld AI used for?

Powering gameplay in experiences
Streamline game development and unlock productivity with AI-generated game assets
Deliver new gameplay mechanics with AI logic engines
Create deep connections with players and offer new gameplay strategies
Get real-time gameplay mechanics that adapt to players' decisions
Go beyond NPCs with agentic AI for autonomous companions and intelligent crowds
React to player inputs in real-time for personalized gameplay
Support a LiveOps pipeline to manage player experiences
Streamline creative process with AI-assistive features for game narratives and content creation
Leverage annotations, reinforcement learning, and log reviews to fine tune and train AI agents according to preferences and game lore
Creating dynamic NPCs
Enabling worlds that evolve with player actions
Streamlining game design
Facilitating future-proof AI infrastructure
Analyzing player behavior for personalized gaming experiences
Streamlining game development with AI-generated assets
Delivering new gameplay mechanics with AI logic engines
Supporting LiveOps pipeline for player experience management
Fine-tuning and training AI agents for game preferences
Generative Tools for streamlining game development and unlocking productivity with AI-generated game assets
Creating NEO NPCs for deep connections with players and emergent storytelling opportunities
Real-time adaptation to react to player inputs and provide personalized gameplay
Support for a LiveOps pipeline to manage player experience as content changes
Drive player engagement and increase revenue with AI NPCs in games
Streamlining creative process with AI-assistive features for game narratives, dialogue, voices, and character creation
Fine-tuning AI agents with annotations, reinforcement learning, and log reviews
Asset management by hosting game assets from a centralized repository
Inworld Core for custom solutions for enterprise-ready AI infrastructure
Generative Tools for streamlining game development
Neo NPCs for creating deep connections with players
Dynamic Agents for guiding, challenging, and entertaining players
Real-Time Adaptation for reacting to player inputs in real-time
Player Management for supporting LiveOps pipeline
Developer-facing AI for streamlining creative process
Content Creation with AI-assistive features
Fine Tuning for training AI agents according to preferences and game lore
Asset Management for hosting game assets and connecting data to game design workflows
Models & Microservices for gaming experiences
Player Management for LiveOps pipeline
Real-Time Adaptation for personalized gameplay
Dynamic Agents for autonomous companions and intelligent crowds
Content Creation AI-assistive features
Fine Tuning AI agents through annotations and reinforcement learning
Asset Management for game assets
AI Infrastructure with custom solutions
Inworld Voice for expressive & natural voice AI

Who is Inworld AI for?

Game developers
AI engineers
Game Designers
Content creators
Developers
Asset managers
AI developers
Narrative designers

How to use Inworld AI?

To use Inworld AI, follow these steps:

Understand the Features:
- Inworld AI provides AI NPCs with advanced cognition, perception, and behavior, real-time adaptation to player inputs, player management for LiveOps, and more engaging game loops.
Developer Platform:
- Access the Inworld Platform to create characters with distinct personalities and contextual awareness. Use real-time generative AI, character engine for expressive AI, and contextual mesh for staying in-world or on-brand.
Models & Microservices:
- Utilize models and microservices to power your gaming experiences. Incorporate senses to analyze player behavior, builders to streamline development with AI-generated assets, and systems for new gameplay mechanics.
Partners & Experiences:
- Explore partnerships like Neo NPCs, enabling deep connections with players and innovative gameplay strategies. Understand how Inworld collaborates with studios like Ubisoft to enhance NPC reasoning and perception.
Content Creation:
- Use developer-facing AI for streamlined creative processes. Benefit from AI-assistive features for game narratives, dialogue, voices, and character creation.
Fine Tuning:
- Leverage annotations, reinforcement learning, and log reviews to fine-tune and train AI agents based on your preferences and game lore.
FAQs:
- Find answers to common questions about Inworld AI, such as creating avatars, the functionality of AI characters, supported languages, and how the character AI engine operates.

By following these steps, you can effectively leverage the features and capabilities of Inworld AI to enhance player engagement, drive replayability, and streamline your game development process with advanced AI technologies.

Pros

Real-Time Adaptation: React to player inputs in real-time to power personalized gameplay
Streamline creative processes with AI-assistive features for game narratives, dialogue, barks, voices, and character creation
Leverage annotations, reinforcement learning, and log reviews to fine-tune and train AI agents according to preferences and game lore
Host game assets from a centralized repository and leverage AI to connect data to game design workflows
Get models and microservices that can be composed into a modular solution to power gaming experiences, from large language models to text-to-speech and safety features
Analyze player behavior and game states continuously to create more interactive, responsive, and personalized gaming experiences
Deliver new gameplay mechanics with AI logic engines and processing pipelines to achieve complex goals and provide enhanced functionality
Real-time Generative AI Optimized for performance and scale
Character Engine Power expression with multimodal AI
Contextual Mesh Stay in-world or on-brand
APIs IntegrationsShip faster with powerful and easy-to-use integrations
Help drive millions of views on platforms like Twitch and YouTube for successful game launches
Player Management: Support a LiveOps pipeline with effective ways to manage the player experience as content around them changes
Impact core game loops: Drive engaging gaming loops that keep players coming back again and again
Increase revenue: 81% of gamers report that they'd be willing to pay more for a game featuring AI NPCs

Cons

Specific cons of using Inworld AI were not explicitly listed in the provided documents.
Limited language support (focused on English for now)
Missing features such as support for additional languages
Potential lack of versatility with character visuals (uses Ready Player Me avatars for demos, limited customization)
No information provided on pricing structure and value for money compared to other AI tools in the industry
Limited language support with a focus on English only
Lack of information on pricing transparency and detailed pricing options
Possible limitations in character appearance customization compared to other platforms
Absence of information on the extent of developer support and community resources
Potential lack of flexibility in AI character behaviors and interactions
Uncertainty about the extent of AI character memory and narrative controls
Limited information on knowledge and safety features available for AI characters
Missing details on scalability and performance optimization for AI characters
Absence of clarity on integration capabilities with third-party tools and platforms
No specific mention of advanced training or customization options for AI models

Pros

Cons

Real-Time Adaptation: React to player inputs in real-time to power personalized gameplay
Streamline creative processes with AI-assistive features for game narratives, dialogue, barks, voices, and character creation
Leverage annotations, reinforcement learning, and log reviews to fine-tune and train AI agents according to preferences and game lore
Host game assets from a centralized repository and leverage AI to connect data to game design workflows
Get models and microservices that can be composed into a modular solution to power gaming experiences, from large language models to text-to-speech and safety features
Analyze player behavior and game states continuously to create more interactive, responsive, and personalized gaming experiences
Deliver new gameplay mechanics with AI logic engines and processing pipelines to achieve complex goals and provide enhanced functionality
Real-time Generative AI Optimized for performance and scale
Character Engine Power expression with multimodal AI
Contextual Mesh Stay in-world or on-brand
APIs IntegrationsShip faster with powerful and easy-to-use integrations
Help drive millions of views on platforms like Twitch and YouTube for successful game launches
Player Management: Support a LiveOps pipeline with effective ways to manage the player experience as content around them changes
Impact core game loops: Drive engaging gaming loops that keep players coming back again and again
Increase revenue: 81% of gamers report that they'd be willing to pay more for a game featuring AI NPCs

Specific cons of using Inworld AI were not explicitly listed in the provided documents.
Limited language support (focused on English for now)
Missing features such as support for additional languages
Potential lack of versatility with character visuals (uses Ready Player Me avatars for demos, limited customization)
No information provided on pricing structure and value for money compared to other AI tools in the industry
Limited language support with a focus on English only
Lack of information on pricing transparency and detailed pricing options
Possible limitations in character appearance customization compared to other platforms
Absence of information on the extent of developer support and community resources
Potential lack of flexibility in AI character behaviors and interactions
Uncertainty about the extent of AI character memory and narrative controls
Limited information on knowledge and safety features available for AI characters
Missing details on scalability and performance optimization for AI characters
Absence of clarity on integration capabilities with third-party tools and platforms
No specific mention of advanced training or customization options for AI models

Inworld AI FAQs

Does Inworld create avatars?: The avatars are character visuals used throughout are product are meant to be illustrative. We use Ready Player Me avatars for our demos, but as a developer platform, our goal is to be compatible with any character visuals or models. We power the character’s brain, and its appearance is completely up to you.

What is an AI character?: An AI character is a character that’s created using artificial intelligence technologies. These can include natural language processing models, machine vision, speech-to-text, and other computer models. Together, they work to mimic the dynamic and social nature of human interactions.

What languages do Inworld characters speak?: Inworld characters currently focus on English but are looking to add additional languages in the future.

How does Inworld’s character AI engine work?: The Inworld Engine comprises several machine learning and character AI models that are designed to mimic human gestures, speech, safety, emotion, and memory.