EPISODE · Jan 15, 2026 · 1H 7M
Kylan Gibbs, Inworld CEO on Realtime AI & Consumer-Scale Infra
from Venture with Grace · host Grace Gong
Kylan Gibbs is the co-founder & CEO of Inworld AI, the core infrastructure for real-time, multimodal AI applications at global consumer scale.Inworld is a product-focused research lab delivering sub-500ms, high-QPS AI experiences via specialized models and streaming architectures that most teams can’t build in-house.Under Kylan’s leadership, Inworld has launched products including Inworld TTS (ranked #1 on major third-party benchmarks for latency, quality, and cost) and Inworld Runtime, a C++-optimized real-time orchestration and observability platform.Prior to Inworld, Kylan focused on product development at DeepMind (Google) and Bain & Company. Backed by Lightspeed, Kleiner Perkins, S32, Microsoft M12, CRV, Bitkraft, and others, he is now focused on defining the next AI stack and enabling AI-native products that were previously impossible.Topics:Why the next wave of AI must be real-time: latency, QPS, and unit economics at consumer scaleInside the real-time AI stack: specialized models, streaming infrastructure, and production-ready orchestrationBeyond credits: building a durable consumer AI ecosystem through infrastructure and acceleration
What this episode covers
Kylan Gibbs is the co-founder & CEO of Inworld AI, the core infrastructure for real-time, multimodal AI applications at global consumer scale.Inworld is a product-focused research lab delivering sub-500ms, high-QPS AI experiences via specialized models and streaming architectures that most teams can’t build in-house.Under Kylan’s leadership, Inworld has launched products including Inworld TTS (ranked #1 on major third-party benchmarks for latency, quality, and cost) and Inworld Runtime, a C++-optimized real-time orchestration and observability platform.Prior to Inworld, Kylan focused on product development at DeepMind (Google) and Bain & Company. Backed by Lightspeed, Kleiner Perkins, S32, Microsoft M12, CRV, Bitkraft, and others, he is now focused on defining the next AI stack and enabling AI-native products that were previously impossible.Topics:Why the next wave of AI must be real-time: latency, QPS, and unit economics at consumer scaleInside the real-time AI stack: specialized models, streaming infrastructure, and production-ready orchestrationBeyond credits: building a durable consumer AI ecosystem through infrastructure and acceleration
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Kylan Gibbs, Inworld CEO on Realtime AI & Consumer-Scale Infra
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