AI built for people.
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Joined August 2021
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Inworld is your new favorite inference provider.
We already process tens of trillions of tokens a month because we understand consumer AI different, and we've built our inference from the ground up for it.
Today, the inference top consumer AI apps run on is opening up.
Today we’re introducing Reasoning for Realtime TTS-2, making it the first TTS model in the world that can steer itself based on context.
In consumer apps, your LLM generates every reply. Directing how each one sounds takes extra prompts, tags, and rules.
Reasoning now handles that inside your TTS request. It reads the text and the context you pass, writes a delivery direction, which Realtime TTS-2 performs.
For developers this means:
- Emotion, tone, and pacing shaped by the context of each line.
- No emotion-tag rules to maintain in your chat prompt.
- Fewer LLM output tokens spent writing voice directions.
The generated direction comes back in the API response, so you can inspect it. Your own instructions and inline tags always take precedence.
Available today with Realtime TTS-2. Who are you building for?
We’ve added new voices to the Inworld library, giving developers more accents and styles to choose from.
This video gives you a first listen. Keep an ear out for new additions as we keep growing the collection!
Try the latest voices in our TTS Playground: platform.inworld.ai/
Inworld AI retweeted
Sat down with the @inworld team to talk through their new TTS-2 model. I was impressed with the natural language voice steering capabilities of the model.
That capability helped us bring Expressive Mode to LiveKit Agents, where the LLM uses the conversation’s context to guide the voice’s tone.
It makes a cascaded voice pipeline sound highly natural. More here: livekit.com/blog/making-voic…
Introducing the Inworld Spooktober Challenge 🎃
Build something spooky with Inworld between now and Halloween, October 31. Post a video of your creation, use #inworldvoice or #inworldinfra, and tag @Inworld to enter.
Whichever post gets the most likes wins AirPods Max, $500 in Inworld credits, and Inworld swag shipped to you!
For inspiration, Clint from our team used TTS voice steering to turn a talking teddy bear into something straight out of Obsession. Meet Cuddles.
Gemma 4 31B Fast is live on Inworld Inference.
- Google’s 31B open-weight model, with faster, optimized serving on Inworld’s GPUs
- 256K-token context
- Text and image understanding
- Built-in reasoning mode
Try it with your own prompts: inworld.ai/model
MiMo V2.6 Flash from Xiaomi is now on hosted on Inworld Inference:
- Open-weight reasoning model with vision and function calling
- V2.6 family showcased for 3D game development
- 524K-token context
- $0.14 in / $0.28 out per 1M tokens
- Cached input at $0.003, so long conversations stay cheap
Check it out at: inworld.ai/models
Inworld’s international presence keeps growing. We’re hiring across Europe, with roles in our Science and ML Engineering teams in Germany, Switzerland, Serbia, and the UK.
We’re looking for research scientists and ML engineers to help build our speech models and the inference systems behind realtime AI applications.
If that sounds like your kind of work, we’d love to hear from you.
Explore the roles and come work with us: inworld.ai/careers
Our @livekit partner story explores how Inworld’s speech models and LiveKit’s realtime infrastructure help developers build voice applications that can scale with their users.
Through Inworld’s integration with the LiveKit Agents framework, developers can use pre-built or custom voices alongside their choice of LLM and speech recognition models, with LiveKit handling realtime communication across web and mobile apps.
The accompanying video takes a closer look at expressive delivery, including how TTS-2’s voice steering helped the team bring Expressive Mode to LiveKit Agents.
“Inworld's TTS-2 marks a real step forward in emotionally expressive voice synthesis. When combined with the conversational intelligence of LiveKit agents, it enables interactions that feel genuinely human, responsive, nuanced, and alive in ways that feel natural.” - David Zhao, CTO, LiveKit
Watch the video or read the full partner story for more on our work together: inworld.ai/customers/livekit
Latitude wanted every story beat in Voyage to be narrated, with a distinct, consistent voice for each character. Its existing voice provider made that too expensive, while its separate inference service slowed down as traffic grew.
We partnered with the team to make always-on narration affordable and serve the models behind Voyage’s game mechanics and stories.
Key results:
- Voice at roughly a quarter of the cost of their previous provider
- TTS 3–5x faster than another provider in Latitude’s production tests
- More than 15 million TTS calls in six weeks
- More than 25 million inference calls over the same period
With Inworld’s support, Latitude made narration a default part of Voyage. The team also runs its own fine-tuned story models on Inworld without having to manage the infrastructure to serve them.
Read the full case study: inworld.ai/customers/latitud…
Status, the AI social simulation game built by Wishroll, was growing fast. Its five-person team needed to bring AI costs down without compromising the experience players expected.
We partnered with them to make that growth sustainable.
Key results:
- 95% reduction in AI costs
- Scaled to 500,000+ daily active users
- 35x revenue growth to tens of millions in annual revenue
- Sub-second response times, even at peak demand
With Inworld’s support, the team could keep expanding the game’s audience while spending more engineering time on new features.
“Working with Inworld has been the most positive experience I've had with another company... They've been incredibly hands-on, responsive, and fast. It's like having an external ML team dedicated to helping us solve our problems.”
- Fai Nur, CEO and co-founder of Wishroll / Status
Read the full case study for a closer look at how we worked together.: inworld.ai/customers/status
Inworld AI retweeted
@thestatusai has scaled to tens of millions in annualized revenue. Working with @inworld, we cut our AI costs by about 95% while maintaining or improving content quality.
When you build consumer AI, you want people to be obsessed with your app. Then you have to afford that obsession.
Our users spend an average of over an hour and a half a day on Status. They’re building relationships with characters, creating stories, and getting absorbed in these worlds. Every interaction needs to feel worth coming back for.
Inworld’s team got into the details with us: which models to use, how to structure prompts, and how to test whether the content was actually funny and engaging. They’ve been hands-on and fast, and we’ve kept working together to improve performance and lower costs.
That gave our team more room to keep shipping. More features, more things for players to do, and a business that could support the experience we wanted to build.
There’s so much opportunity in consumer AI when you understand what people enjoy. Making the economics work gives you room to keep finding more of it.
Read more on how we scaled with Inworld: inworld.ai/customers/status
With @thestatusai, we worked on prompts, evaluations and serving to cut AI costs by over 95% while maintaining or improving content quality.
@latitudegamesai ran 25M+ inference calls in its first six weeks on Inworld.