The only AI framework powering massive consumer applications

Adapt instantly to your users, continuously improve quality with scale, maintain real-time responsiveness, and reduce per user costs as usage grows

Powering experiences from:

Continuously Evolve Quality to Better Engage Users

Challenge

Consumer‑facing AI goes stale fast as models lag behind shifting user interests, demanding continuous real‑time learning to keep engagement high.

How we solve this
1.5hdaily per user
42%+increase in engagement
Inworld [has] enabled dynamic, evergreen gaming experiences that keep players coming back. Developers and gamers alike have reported enhanced player engagement, satisfaction and retention.
Nvidia Blog

Real-Time Performance for Massive Concurrent Users

Challenge

Standard cloud AI adds multi‑second latency and often collapses under traffic spikes, shattering real‑time experiences and user trust.

How we solve this
90%+reduction in latency
500k+daily active users
We tried building this with standard cloud APIs, but the 1-2 second delay made the assistant feel disconnected from the action. Working with Inworld, we achieved 200ms response times that make the assistant feel present in the moment.
Streamlabs

Cost Efficiency & Full Ownership That Improves with Scale

Challenge

As usage climbs, most AI vendors hike per‑user costs with opaque billing and lock‑in that jeopardize growth, control, and security.

How we solve this
95%+reduction in cost
150+models supported and evaluated
If we had launched with our original architecture, we'd be broke in days, even raising tens of millions wouldn't have sustained us beyond a month. Now we have a path to profitability. Inworld is helping us stay ahead of AI advancements so we can keep optimizing and delivering the best experience for our users.
Fai Nur, CEO, Wishroll

Learn more about how Wishroll's game Status is Cutting AI costs by >95%, scaling to 500K+ DAUs, and driving time spent per user to over 1.5 hours per day.

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