Inworld
A voice and inference platform for consumer AI apps, offering realtime text to speech, speech to text, speech to speech and LLM inference through an API.
A voice and inference platform for consumer AI apps, offering realtime text to speech, speech to text, speech to speech and LLM inference through an API.
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Inworld is a practical fit for buyers evaluating focused AI tooling.
- What is Inworld?
- A voice and inference platform for consumer AI apps, offering realtime text to speech, speech to text, speech to speech and LLM inference through an API.
- Who is it for?
- AI application developers who need to generate spoken responses from text for voice-enabled software.
Product information
What this product does
Realtime voice models and open LLMs on a fleet we operate, for the apps people use every day. First audio as low as 50 ms; tens of trillions of tokens a month.
Sourced from inworld.ai
Works With
Platforms
- API
AI Models
- Realtime TTS-2
- Realtime TTS-2 Flash
- Realtime STT-1
- DeepSeek V4.1 Flash
- GLM 5.3 Flash
- Qwen3.8 Flash
- MiMo 2.6 Pro
- Gemma 4 26B
Company & Maker
Who built Inworld?
- Company
- Inworld AI
- Product
- A voice and inference platform for consumer AI apps, offering realtime text to speech, speech to text, speech to speech and LLM inference through an API.
- HQ
- Mountain View
- Founded
- 2021
- Founders
- Kylan Gibbs - Co-founder, CEO
- Michael Ermolenko - Co-founder, CTO
- Ilya Gelfenbeyn - Co-founder
Some facts above are based on publicly available information and may have changed.
The maker hasn't published a public statement we can verify yet.
Problem Solved
What problem does Inworld solve?
Built for teams making consumer apps such as companions, tutors, wellness coaches, games and voice agents. Voice and LLM responses that are slow, costly or unreliable break conversations and make apps expensive to scale. Inworld provides realtime voice models and LLM inference aimed at low latency, lower cost and high reliability across regions. For example, a team building a language tutor can use one API for speech in, model responses and spoken replies.
Researched with AI · Data refreshed 2 hours ago · How we score
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Inworld is an AI technology platform focused on text-to-speech, speech-to-speech, and LLM routing. Its stated capabilities suggest applications in voice interfaces and AI-powered conversations, although specific customer workflows are not documented in the supplied evidence.
Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Give a companion app an expressive, directable voice
- Build a language tutor that speaks and listens
- Run voice agents for customer support
- Narrate game and interactive media with live voices
- Add Inworld voices to LiveKit Agents
- Generates spoken audio responses from text inputs.
Pricing reality
Vendor stated
No pricing information supplied.
Actual cost
The pricing page was unavailable in the collected signals, with zero prices detected. Current costs cannot be established.
Hidden costs
3 hidden cost warnings — unlock to view
Pricing reality
Last updated Oct 2026
Starting price
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General buyer tips
Common across software subscriptions, not findings about this product.
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LIVE ESTIMATEEstimated spend
--Starting price has not been verified from a linked pricing source yet.
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Activity signals
Insufficient data
Only 6 of 5 minimum public signals linked. Score appears once we collect 0 more independent signals.
HOW THIS TOOL SCORES
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Innovation Index™
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Functionality Score™
Does it cover the jobs buyers expect, and can it keep up?
Low confidence (30%) - some sub-scores have thin evidence.What this means →
Data sources
Traffic & search proof
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Google Trends live interest
Live Google Trends data for Inworld: interest over time, regions, topics, and related queries.
Tracks 12-month Google search interest on a 0-100 relative interest scale.
Includes regional demand, so readers can see where search interest is strongest.
Includes related topics and related queries to surface adjacent demand and search intent.
FAQ
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Sources and methodology
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