Inworld provides an AI engine for game development, offering tools for creating dynamic NPCs, game mechanics, and evolving game worlds.

Inworld

Inworld powers AI-driven gameplay for video games and immersive experiences. 

Whether you’re looking to unlock novel gameplay, create content at scale, improve player immersion, or future proof your AI infrastructure, Inworld helps uplevel your game development with AI.

Inworld has worked with Xbox, Ubisoft, NVIDIA, NetEase Games, Niantic, LG UPlus, Alpine Electronics, and indie game developers to create AI-driven experiences. We’re backed by top-tier investors including Lightspeed Venture Partners, Section 32, Intel Capital, Microsoft’s M12 fund, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, and First Spark Ventures. 

The Inworld product suite includes: 

Inworld Engine powers real-time experiences with groundbreaking game mechanics, dynamic NPCs, and worlds that evolve with each action. AI NPCs can learn and adapt, deliver nuanced performances, perceive the world around them, and autonomously initiate actions based on players' decisions. 

Inworld Studio consists of a suite of tools that enhance game design. Using AI to streamline workflows, the Studio enables developers to workshop, draft, and outline storylines, narratives, dialogue, quests, and more.  

Inworld Core is our custom solution for future-proof AI infrastructure, including custom models, training, serving and security.


Comcast NBCUniversal LIFT Labs

Kleiner Perkins

The.AI Ventures

BITKRAFT Ventures

NaHCO3

The Venture Reality Fund/VRF

M12 - Microsoft's Venture Fund

Nate Mitchell

Intel Capital

Accelerator Ventures

NTT DOCOMO Ventures

LG Technology Ventures

Founders Fund

XRM Media

Lightspeed Venture Partners

Dentsu Ventures

First Spark Ventures

Samsung NEXT

Stanford University

Inworld AI

AI in games is a hot topic, but have you wondered if it actually delivers results?Join me on our webinar on Tuesday, August 27th to learn about how Playroom’s Death by AI reached 10M multiplayer players in just one month. Register here: https://hubs.li/Q02LZrsc0 

I’m hosting this webinar with Tabish Ahmed, CEO of Playroom, to discuss the challenges and successes in developing Death by AI and how Inworld AI’s AI solutions were key to its success.

Webinar Details: 
📅 Date: August 27, 2024
⏰ Time: 11am PT
🎤 Hosts: Christopher Covert (Inworld) & Tabish Ahmed (Playroom)
🖊️Registration: https://hubs.li/Q02LZrsc0 

What You’ll Learn:
How Playroom managed AI costs and performance with a large, dynamic multiplayer player base.
Strategies to ensure reliable AI responses, even under the pressure of high-demand multiplayer scenarios.
Insights on scaling a multiplayer game without introducing latency or compromising the gaming experience.

I’m really looking forward to this conversation, and I think you’ll find it incredibly valuable for your own projects. Looking forward to having you join us!

Last month I took part in an Inworld AI webinar, called '#AI and the Future of Storytelling'... 🔮 Hosted by Joana Flor and featuring the legendary Jon Snoddy (Operative Games & former Walt Disney Imagineering), Amanda W. (Niantic, Inc.) and Lachlan Sleight (Liquid City) 🔥 Check it out: 

It was a really interesting conversation and points to an exciting and more personalised future when it comes to #gaming, #content, #immersive and #marketing. 

https://lnkd.in/eDxXXY-B

Christopher and I are hosting a webinar where we will be discussing the hype around the hot topic AI in Games 🔥 and how Death by AI became the first AI-driven game to run at scale for Millions of Users, thanks in large part to Inworld AI's pivotal role. 

What to expect from this little talk:
- Excitement
- Day-of panic
- Total Meltdown
- A glimmer of hope
- Relief!
- Lessons Learned

This will be a fun talk, come join us!

Webinar Details: 
📅 Date: August 27, 2024
⏰ Time: 11am PT
🎤 Hosts: Christopher Covert (Inworld AI) & Tabish Ahmed (Playroom)
🖊️Registration: https://hubs.li/Q02LZrsc0

What More You’ll Learn:
- How Playroom managed AI costs and performance with a large, dynamic multiplayer player base.
- Strategies to ensure reliable AI responses, even under the pressure of high-demand multiplayer scenarios.
- Insights on scaling a multiplayer game without introducing latency or compromising the gaming experience.

Meet Hayley Hu, our Staff ML Engineer / TLM at Inworld AI! 🎉 

Check out our latest blog post, where Hayley shares her journey, achievements, and the unique culture at Inworld.

https://lnkd.in/eVbPtrkq

#EmployeeSpotlight #Inworld #WorkCulture

Matchmaking in multiplayer games is complex due to its significant impact on the player experience. That’s why Activision’s Call of Duty weighs things like player ping, time to match, skills/performance, platform, whether voice chat is enabled or disabled, input device, recent maps/modes, and playlist diversity to create the optimal match.  However, these factors add to complexity and ultimately additional time to matchmaking in games, which can lead to player churn. This leaves game companies to decide between two churn-inducing options - longer lobby wait times or imbalanced matches. 

Here is a solution: Inworld AI generative AI players tailored to each player’s level makes  competition enjoyable for all. This would be a scalable solution that makes games more accessible and enjoyable for all players regardless of skill level and location – something that’s likely to boost player retention and extend playtime.

They can be deployed to take over when one of your team members has to leave mid-game or can’t join a gaming session. AI players could even mimic the gameplay of that particular player. 

Learn more about the future of multiplayer games, powered by AI: 
🌐

Excited to share that our CEO Kylan Gibbs will be participating as a judge for Game Changers 2025 led by Lightspeed, GamesBeat, and Nasdaq. Looking forward to discovering incredible startups in gaming & interactive media.

Metric
Company Name	Inworld
Symbol
MSH ID	AI:INWORLD
Market	PRIVATE
Sector	Technology
Industry	Artificial Intelligence for Gaming
Country	US
Stage
Employee Count	109
Website	inworld.ai
LinkedIn	inworld-ai
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Monthly Web Traffic	263.38K
Web Traffic Growth	1.19
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AI:INWORLD

Inworld

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