
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…

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…
Founded: 2021
Core product: Realtime voice and character AI platform (TTS, STT, speech-to-speech, model routing, Realtime API)
Key verticals: Consumer apps, enterprise support & sales, interactive media/games
Notable partners/customers: Xbox, Ubisoft, NVIDIA, NetEase Games, Niantic, LG, Logitech Streamlabs
Total disclosed funding: >$100M (reports of $117M–$125M)
Prominent investor: Lightspeed Venture Partners
Realtime conversational and voice AI for interactive characters, companion apps, games, and enterprise support
2021
Software Development
>50000000
August 2023 tranche reported as >$50M and brought total disclosed funding to over $100M; post-money valuation reported at about $500M
“Backed by a syndicate including Lightspeed Venture Partners, Section 32, Kleiner Perkins, Founders Fund, Microsoft M12, Intel Capital, Bitkraft, Stanford and others”
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About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA.
Who We're Looking For
A year ago, reliably working agentic systems barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.
Experience We Find Useful
You don't need all of this. But you need enough to make a case.
If you learned through building, competitions, or collaborations outside academia — that counts. We care about evidence, not credentials.
What We’re Not Looking For
What Working Here Is Like
We hand you unclear problems and expect you to make them clear. We value researchers who say "I don't know yet " — and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater.
We don't need a cover letter. A link to something you've built tells us more.
Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams.
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