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Inworld AI

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@inworld

AI built for people.
Mountain View, CA inworld.ai Joined August 2021
204 Following 13K Followers 585 Posts

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Inworld AI Verified account @inworld
Inworld is your new favorite inference provider.

We already process tens of trillions of tokens a month because we understand consumer AI different, and we've built our inference from the ground up for it.

Today, the inference top consumer AI apps run on is opening up.
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Inworld AI Verified account @inworld
We just made it easier for your coding assistant to build with Inworld.

Introducing the Inworld AI plugin with 24 skills to help you explore, test, and integrate Inworld APIs from the coding tools you already use.

Start with what you want to build or test:
- “Find a voice for my app and let me hear it on this script.”
- “Transcribe this recording with speaker labels.”
- “Add a realtime voice agent to my app.”
- “Benchmark Inworld inference against my current setup using my app’s requests.”

Try it today: github.com/inworld-ai/plu…
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Inworld AI Verified account @inworld
Realtime TTS-2 Flash takes 46ms to start speaking. 93.2% accuracy on hard text on @cekuraai’s new independent voice benchmarks.

Congrats to @tarush_agarwal_ and team on the launch. Better evals help all of us build better voice agents. Who are you building for? 👀
Tarush Agarwal Verified account @tarush_agarwal_ 2d
Introducing Cekura Bench: the world’s leading Voice AI Benchmarks

We benchmarked 50+ models from openAi, Google, Nvidia, xAI, Inworld, Gradium, Assembly, Fish audio and more

Now you can:
→ Compare naturalness, performance and cost
→ See how the best voice agents are being built.
→ Find the best fit for what you are building.

Our tests cover Speech-to-Speech models, Speech-to-Text models, Text-to-Speech Models, and Voice Agent platforms. We recorded real humans doing tasks in different domains and created the most representative voice benchmark out there!

Explore the benchmarks: benchmarks.cekura.ai

We would love to collaborate with more teams on these benchmarks. Reach out if you are interested.
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Inworld AI Verified account @inworld
On October 23, we brought 50 people together for Backchannel Berlin, an afternoon exploring speech AI and inference (and featured among Luma’s top events for Berlin!).

We dug into how to evaluate expressive speech and make realtime inference more efficient. Guest speakers shared their work on full-duplex conversations and using AI to read ancient papyri, before a closing fireside looked ahead to what conversations with AI could feel like in 2028.

We love being part of these conversations with people working at the forefront of consumer AI. Thanks to everyone who shared their research and perspectives. We’re looking forward to hosting more gatherings like this as our community grows.

We’re growing our team here, too. If you’re based in Berlin or elsewhere in Germany, we have remote roles open in ML engineering and research.

Come work with us! inworld.ai/careers