Inworld AI
4.20
0
Inworld AI creates advanced AI characters for games, enhancing NPC interactions with natural language processing and other technologies.
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:
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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.
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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.
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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.
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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.
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Content Creation:
- Use developer-facing AI for streamlined creative processes. Benefit from AI-assistive features for game narratives, dialogue, voices, and character creation.
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Fine Tuning:
- Leverage annotations, reinforcement learning, and log reviews to fine-tune and train AI agents based on your preferences and game lore.
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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
Inworld AI FAQs
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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.
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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.
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What languages do Inworld characters speak?
- Inworld characters currently focus on English but are looking to add additional languages in the future.
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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.
Get started with Inworld AI
Inworld AI reviews
Liam Anderson
November 28, 2024
What do you like most about using Inworld AI?
The ability to create characters that interact naturally with players is a game changer. The real-time generative AI makes NPCs feel alive, and the integration of speech-to-text adds a layer of immersion that is essential for modern gaming.
What do you dislike most about using Inworld AI?
Sometimes the character behaviors can feel a bit scripted, especially in high-stakes scenarios. I would love to see more variability in their responses.
What problems does Inworld AI help you solve, and how does this benefit you?
It significantly reduces the time spent on programming NPC interactions. This allows me to focus on other aspects of game development, which ultimately speeds up our production timeline.
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Sophie Kim
January 9, 2025
What do you like most about using Inworld AI?
The contextual mesh feature is fantastic! It helps maintain the game's theme while enabling characters to respond appropriately to player actions. This keeps the gameplay engaging.
What do you dislike most about using Inworld AI?
The initial learning curve was a bit steep, but once I got the hang of it, everything flowed smoothly.
What problems does Inworld AI help you solve, and how does this benefit you?
It solves the challenge of creating believable NPCs. By using Inworld AI, we can keep players engaged longer, which is crucial for retention and monetization.
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Marco Rossi
January 12, 2025
What do you like most about using Inworld AI?
The AI's ability to mimic human emotions and gestures is impressive. It adds a level of depth to character interactions that traditional methods lacked.
What do you dislike most about using Inworld AI?
However, the pricing can be a concern for smaller indie studios. It feels a bit steep for the features offered.
What problems does Inworld AI help you solve, and how does this benefit you?
It helps in creating more dynamic stories within the game, but I believe it requires more optimization to fully realize its potential in varied contexts.
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