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Inworld AI creates AI-powered non-player characters for games. These NPCs have distinct personalities, contextual awareness, memory, and emotional intelligence to deepen immersion. Their character engine runs in real-time with low latency and includes safety, knowledge, memory, narrative controls, and multimodal abilities, built by the Dialogflow team for production-ready scalability. The product helps game developers monetize by selling access to the engine to enable autonomous, goal-driven NPCs that can learn and adapt within the game world.
Industries
Consumer Software
AI & Machine Learning
Entertainment
Gaming
Company Size
51-200
Company Stage
Series A
Total Funding
$117M
Headquarters
Mountain View, California
Founded
2021
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Total Funding
$117M
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Tencent Cloud and Inworld AI announce strategic partnership to deliver a one-stop, lifelike, Realtime Voice AI solution. Jun 17, 2026 Tencent Cloud, the cloud business of global leading technology company Tencent, today announced a strategic partnership with Inworld AI, a leading voice AI research lab and developer platform for real-time, human-level voice experiences. Through the collaboration, Inworld's top-ranked text-to-speech (TTS) models will be deeply integrated with Tencent Cloud's enterprise-grade global realtime communication infrastructure. Developers can directly select Inworld TTS in the Tencent Real-Time Communication (Tencent RTC) console and SDK to build AI applications with emotionally intelligent, real-time voice experiences delivered over Tencent RTC's low-latency global network. Tencent RTC and Inworld AI Power Enterprise-Grade Realtime Voice AI for Global Customers Inworld AI is widely recognized for powering highly expressive voice AI - for companions, enterprise agents, interactive entertainment, and more - where emotional nuance, timing, and non-verbal cues matter as much as the words themselves. Inworld's TTS stack delivers ultra-realistic, context-aware speech and precise voice cloning with performance ranked #1 by users on the Artificial Analysis Speech Arena. Inworld TTS delivers sub-130ms first-chunk latency, supports over 100 languages, and enables instant cross-lingual conversion within a single generation while preserving a consistent speaker voice. Developers can easily clone voices, design custom voices, control vocal style, and stream natural voice responses. By integrating Tencent RTC technology, developers gain access to an enterprise-grade realtime communication backbone featuring more than 3,200 global nodes, sub-300ms worldwide latency. Advanced capabilities, such as AI noise suppression and weak-network resilience, ensure conversational AI applications run seamlessly across regions, especially in some markets where connectivity and latency challenges are common. As part of this partnership, Tencent RTC and Inworld AI have jointly launched a Conversational AI Demo, showcasing the seamless integration of Inworld TTS with Tencent RTC's real-time communication infrastructure. The demo also features a curated selection of recommended voices tailored to different languages and application scenarios, allowing developers to experience them firsthand. Interested developers and enterprises can experience the demo here: https://trtc.io/demo/homepage/#/inworld Wison Xie, Head of Tencent RTC Product at Tencent Cloud, said, "Production-grade voice AI requires both a capable model and a capable network - neither side can deliver it alone. Inworld has set a new bar for expressive, controllable TTS, and we are proud to bring those voices into Tencent RTC's global real-time communication backbone. This partnership is part of a long-term commitment to give developers a one-stop path from prototype to production, so they can focus on the experience they want to create, not the underlying infrastructure." Kylan Gibbs, CEO at Inworld AI, said, "Tencent Cloud gives developers a powerful platform for integrating enterprise-grade conversational AI into any application. Now, with access to Inworld TTS through Tencent RTC, developers can leverage state-of-the-art tech in their full cloud stack. We're excited to partner with Tencent to push the boundaries of high-quality, broadly accessible voice AI." About Tencent Cloud: Tencent Cloud, one of the world's leading cloud companies, is committed to creating innovative solutions to resolve real-world issues and enabling digital transformation for smart industries. Through its extensive global infrastructure, Tencent Cloud provides businesses across the globe with stable and secure industry-leading cloud products and services, leveraging technological advancements such as cloud computing, Big Data analytics, AI, IoT, and network security. It is its constant mission to meet the needs of industries across the board, including the fields of gaming, media and entertainment, finance, healthcare, property, retail, travel, and transportation. About Tencent RTC: Tencent RTC provides real-time communication solutions, including audio/video calling, live streaming, and in-game voice. With enterprise-grade security, AI-powered enhancements, and a global network of over 3,200 nodes, Tencent RTC powers mission-critical communication for customers worldwide. About Inworld AI: Inworld is widely recognized for powering highly expressive voice AI - for companions, enterprise agents, interactive entertainment, and more - where emotional nuance, timing, and non-verbal cues matter as much as the words themselves. As a premiere AI research lab building the models and infrastructure for real time AI experiences, Inworld leads with #1-ranked TTS models optimized for human-like expression and sub-200ms latency that feels like a real conversation. Inworld's Realtime API unifies STT, LLM routing, and TTS into a single low-latency voice pipeline trusted by developers building consumer applications, AI companions, and voice agents worldwide.
Inworld launches TTS-1.5 for real-time voice with 16 languages. Inworld launches TTS-1.5 with two real-time voice models, sub-250 ms latency, 16 language support, and flexible deployment for developers and enterprises. Inworld has released TTS-1.5 on December 18, 2025, expanding its text-to-speech portfolio with two new models aimed at real-time voice applications. The launch positions Inworld as a direct competitor to established voice AI providers, with a focus on low latency, multilingual coverage, and deployment flexibility for both developers and enterprises. * TTS-1.5-Max: Targets most production use cases, delivering sub-250 ms P90 latency with a 190 ms median. * TTS-1.5-Mini: Designed for ultra-latency-sensitive scenarios, reaching 160 ms P90 and 120 ms median latency. Both models are offered free through December 31, 2025, before moving to usage-based pricing at $10 per million characters for Max and $5 for Mini. The models introduce a reworked, streaming-native audio codec built for real-time generation, alongside quantization-aware training and large-scale reinforcement learning to reduce word errors, cutoffs, and artifacts. Inworld reports top placements on independent, user-voted TTS leaderboards that prioritize naturalness and expressiveness over synthetic metrics. TTS-1.5 supports 16 languages and includes updated voice cloning options via API, as well as on-premise deployment for organizations with strict data residency needs. The service is available through partners including LiveKit, NLX, Pipecat, Stream Vision Agents, and Vapi. Founded to support interactive characters and conversational agents, Inworld continues to focus on voice systems that operate at human conversational speeds, targeting use cases ranging from assistants and live translation to accessibility tools and interactive entertainment.
Inworld AI, a research lab developing AI models for consumer applications, has launched TTS-1.5, a text-to-speech model designed to address latency, cost and quality barriers in realtime AI applications. The model delivers P90 latency of 130ms for its Mini version and 250ms for Max, making it four times faster than previous generations. TTS-1.5 shows a 40% improvement in word error rate and 30% better expressiveness compared to earlier models. Priced at $5-10 per million characters, the model costs 25 times less than competing alternatives. The infrastructure is available now for developers. Founded by former Google and DeepMind AI experts, Inworld is backed by Lightspeed, Kleiner Perkins and Stanford University. CEO Kylan Gibbs said the release addresses key pain points preventing consumer AI applications from scaling.
Modular has also teamed up with AI application developers such as Inworld AI to accelerate speech synthesis and San Francisco Compute Co., which operates a GPU cluster marketplace.
Inworld has launched Runtime for developers, an AI toolkit that was born from experiences with industry giants like Disney, Xbox, and NVIDIA.
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Industries
Consumer Software
AI & Machine Learning
Entertainment
Gaming
Company Size
51-200
Company Stage
Series A
Total Funding
$117M
Headquarters
Mountain View, California
Founded
2021
Find jobs on Simplify and start your career today