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Inworld AI Profile
Inworld AI

@inworld_ai

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AI products for builders of consumer applications, enabling scaled applications that grow into user needs.

Mountain View, CA
Joined August 2021
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@inworld_ai
Inworld AI
15 days
We just made state-of-the-art TTS 20x more affordable. $5 per million characters. And we're open sourcing the training and modeling code (built on Llama). Because scaling voice AI shouldn't break your budget. Technical Details →  Why and how we did it
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@inworld_ai
Inworld AI
15 hours
Did you know you can access @inworld_ai TTS via @livekit's agents framework plugin? . Now, you can create previously unimaginable, real-time voice experiences such as multiplayer games, agentic NPCs, customer-facing avatars, live training simulations, and more. It’s studio.
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@inworld_ai
Inworld AI
7 days
Scaling AI to billions of users requires ecosystem collaboration. The @Modular x @inworld_ai partnership delivered breakthrough results in inference optimization for Inworld TTS: .→ 70% latency improvement .→ 60% cost reduction . Incredible to see @iamtimdavis's energy and.
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@inworld_ai
Inworld AI
14 days
Blog post: Product Hunt:
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@inworld_ai
Inworld AI
14 days
Been awesome seeing devs play around with Inworld TTS!. If you're curious how it all works, we break it down in our latest blog post, with training code coming soon. We're also live on Product Hunt. Would love your support! Links below.
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@inworld_ai
Inworld AI
15 days
Available now via API or Playground at  Already integrated with @LiveKit and @Vapi_AI .More platforms coming soon. Show us what you build.
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@inworld_ai
Inworld AI
15 days
This isn't about being a voice AI company. It's about removing barriers for consumer applications. When voice is affordable, builders can focus on what matters: scaling to millions of users.
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@inworld_ai
Inworld AI
15 days
We're open sourcing our training and modeling code in the next couple weeks. Built on Llama thanks to @MetaforDevs. Ready to extend. Great AI infrastructure should be accessible to every developer.
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@inworld_ai
Inworld AI
15 days
Inworld TTS delivers:.* Industry-leading quality benchmarks.* 200ms to first audio chunk.* Free voice cloning.* 11 languages + crosslingual support.* Emotion/style controls.* Enterprise-ready (SOC2 Type II). At 1/20th the cost.
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@inworld_ai
Inworld AI
15 days
The problem: developers are stuck between two bad options. Premium TTS → unaffordable at scale.Affordable TTS → compromises on quality. We built a third option.
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@inworld_ai
Inworld AI
19 days
Just a few more days until our first major model release. Given the volume of outreach, we're also going to open up some more early access to our full new product (still in early research preview - opening up publicly this summer). We're currently testing with just a few early.
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@inworld_ai
Inworld AI
22 days
Inworld is evolving. 1. We published our vision of the future. These are distilled learnings based on our first 4 years working with partners like @nvidia, @Microsoft, @statusgamexyz, @litumbrella, @streamlabs, @NanobitGames, @NBCUniversal, @MistralAI, @Google and thousands of.
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@inworld_ai
Inworld AI
23 days
We still see technology forcing conformity everywhere. Making users smaller to fit its constraints. However, we’re now convinced that when software begins to truly evolve through use, it will become as diverse as the people touching it. We want to return users to the center of.
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@inworld_ai
Inworld AI
23 days
Through years of working with teams, we've recognized three things applications need to come to life, solve evolution and return focus to the user:. 1) An understanding of users and their context, in real-time. 2) The ability to make changes, to any part of the application.
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@inworld_ai
Inworld AI
23 days
So we're building toward living applications. Software that evolves itself through use. Every interaction teaches it. Every user shapes it. Not through scheduled updates. Through continuous adaptation. Your struggles should simplify interfaces. Your patterns should become
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@inworld_ai
Inworld AI
23 days
Evolution remains. Where builders spend most of their time. Where user needs get lost in the shuffle of updates and maintenance. The monster that compounds in hunger and pulls you down by the gravity of maintaining what is, leaving your users to see less net new value at the end.
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@inworld_ai
Inworld AI
23 days
Scale is being solved by an accessible ecosystem: open weights, training code, efficient inference, flexible hardware options, backend interoperability. Technical advances make quality definable by users, not economics. At Inworld, we are deeply committed to ensure the terms of.
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@inworld_ai
Inworld AI
23 days
However, when one phase is solved, weight falls to the next. As building becomes more seamless there is more to scale. When you’ve scaled more, you have more to maintain and evolve.
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