Camb AI

The world’s leading speech synthesis and translation company.

[Camb AI @useCamb_AI]

Introducing MARS8 - the first family of Text-to-Speech AI models by the research team at CAMB AI

Because voice AI needs to serve 8 billion people, and one model cannot serve every use case.

[Camb AI @useCamb_AI]

We turned The Adventures of Sherlock Holmes into an audiobook using https://t.co/RlS3qi4TsM.

Natural narration, pacing, and emotion, generated from written text.

A faster way for publishers and creators to bring stories into audio and reach audiences across languages.

[Camb AI @useCamb_AI]

Learn more about NVIDIA's Content Localization Blueprint - https://t.co/WyZkbVqVuw

[Camb AI @useCamb_AI]

@nvidia × https://t.co/hd4X7xSsST: production-grade dubbing.
We’re stoked to announce that we’ve teamed up with NVIDIA to bring AI-assisted multilingual dubbing into the recently announced NVIDIA Content Localization Blueprint, a modular reference architecture for broadcasters, streamers, and studios.

Accelerated by NVIDIA Dynamo-Triton and TensorRT, https://t.co/hd4X7xSsST’s voice models deliver dubbing that preserves prosody, emotional fidelity, and speaker identity, even across complex, multi-speaker environments.

A big thank you to the NVIDIA team for the trust!

Learn more about the content localization blueprint in the link below

[Camb AI @useCamb_AI]

What's the most undervalued asset in sport media rights today?

It's not the footage. It's not the distribution deal. It's not even the platform it lives on.

It's the language it's delivered in.

Leagues are sitting on content that could be reaching entirely new audiences, fans who would watch, engage, and spend, if only it spoke to them in their own language. That gap between content and audience is where localization fits in.

The LFP understood this. When they integrated AI-powered live commentary into their League + app without altering their production workflows.

They didn't hire a team of additional commentators either. They just made their content feel native to a new audience. And that audience responded.

Our very own Marte spoke about this at SportsInnovation back in March, and as every league enters the business end of the season, we felt it was the right moment to share it.

If you’re thinking about localization solutions as part of next seasons plans, get in touch!

[Camb AI @useCamb_AI]

What a week 🇺🇸

Janel, Jay, and Felix spent the last few days at @NABShow , PEAK | SportsTech Conference, and @Google Cloud Next '26 three conferences, three connected industries, and some great conversations about the future of AI in sport, media, and entertainment.

Whether it was discussing live multilingual commentary with broadcasters and rightsholders, or showcasing MARS8 on Google Vertex AI, it was a reminder of just how much momentum there is in this space, and how central voice AI is becoming to it.

Thanks to everyone who stopped by to chat.

We look forward to being back next year!

[Camb AI @useCamb_AI]

Read the full article here: https://t.co/SC5MQUvLBq

[Camb AI @useCamb_AI]

If you manage content at a club, league or federation, ask yourself this:

How many languages is your archive available in?

For most organisations, the honest answer is one. Maybe two. And yet the fans who would watch that content, from abroad, exist in their hundreds of millions.

Historically, they haven’t been able to access it in a way that feels made for them.

We've spent a lot of time working with sports organisations on this exact problem and have concluded that the economics of localisation have always been the bottleneck.

That's changed now with AI localization. And the rightsholders that move first won't just recover dormant value from their content libraries, they'll build fanbases in markets previously underserved

We wrote about what that opportunity looks like in practice in an article we released recently.

Read the full piece in the comments below 👇

[Camb AI @useCamb_AI]

Exciting day 4 here at the @NABShow! 🎙️

Our own Janel Downing is joining a panel today: "AI in Sports: From Data to Dynamic Fan Experiences", alongside Sepi Motamedi from @nvidia, Jason Dvorkin from @awscloud (AWS), and Jono Luk from @SumerSports.

If you're attending, don't miss this one. The conversation will dig into how AI is reshaping sports and fan engagement, and more importantly, how our AI-powered localization solution is helping global sports leagues connect with fans in their own language, at scale.

[Camb AI @useCamb_AI]

What happens in Vegas... involves quite a lot of AI

We're heading to @NABShow , PEAK Sports Tech, and @googlecloud Next, three conferences, one city, three completely different worlds.

Catch Janel, Jay and Akshat from our team if you happen to be in Vegas!

[Camb AI @useCamb_AI]

Try out our Image Localizer today: https://t.co/muZ2btFlu5

[Camb AI @useCamb_AI]

Still rebuilding the same image for every new market?

We localized the Harry Potter movie poster into Japanese in minutes with typography, layout, spacing, all intact.

Ad banners. Movie posters. Manga. Comics. Marketing graphics. If text lives inside an image, our Image Localizer handles it across 150+ languages.

What used to take weeks now takes minutes.

Checj it out via the link below

[Camb AI @useCamb_AI]

Read the full article: https://t.co/SC5MQUvLBq

[Camb AI @useCamb_AI]

Sports organisations: your archive is a revenue stream.

Just waiting to be unlocked.
Think of the most iconic sporting moment in your memory. Now imagine it in a language that wasn't yours. That's been the reality for billions of fans across decades of content they can't connect with.

The moments were iconic enough. The economics never were, until now.

Read the blog below to know how you can commercial your legacy and archived content

[Camb AI @useCamb_AI]

The Paralympic Games belong to everyone. Language shouldn't be the reason fans are left behind.

We partnered with @EurovisionSport to deliver real-time subtitling across the Milano Cortina 2026 Paralympic Winter Games, 12 days, multiple simultaneous streams.

Take a look at what we delivered in the short clip below

Live doesn't forgive.

[立花慎之介 僕の声で。君の言葉で。 @tcbn_bokukoe]

＼✨本日より番組リニューアル✨／

「世界のアニメ＆ゲームの潮流を知る」20分番組としてパワーアップ！
「https://t.co/Ip4OJmBekK」を使い、立花さんの“声質のまま”【日本語・ヒンディー語・アラビア語・英語】で全編映���配信✈️

🗓隔週木曜 日本時間 18時更新

#立花慎之介 #QloveR #文化放送

[Camb AI @useCamb_AI]

Go deploy now on MARS8 - https://t.co/1230HD6rWr

[Camb AI @useCamb_AI]

Are you building voice models on @Google Cloud?

Then our family of TTS models, MARS8, is exactly where you need it: live on Vertex AI.

What does that actually mean for you?

Our voice models are purpose-built for multiple functions, such as real-time agents, live dubbing, and on-device use.

And unlike purely API-based TTS, you're not paying per token or hitting rate limits. It's flat, GPU-based pricing that scales with you, so your margins grow as your volume does.

As Ziad Jammal from Google Cloud said, “Google Cloud’s AI infrastructure, including NVIDIA AI chipsets, has underpinned the development of https://t.co/hd4X7xSsST models”

If your stack already lives on Google Cloud, deploy MARS8 without any additional configurations (link in comments)@

[Camb AI @useCamb_AI]

PSG vs OM. Le Classique.

Earlier this year, we powered the Trophée des Champions with live AI-dubbed commentary, a first for European football.

It was so nice…so we had to do it twice.

Last month, during the @Ligue1 encounter between the two sides, we delivered AI-dubbed Italian commentary live, translating the French broadcast in real time.

Just a new language layer without any additional production workflows.

For leagues, that means reaching new markets that were previously too complex or costly to serve.

Keen to see it in action? Watch the clip below
@LFPfr

[Camb AI @useCamb_AI]

The AI world gets together in San Jose this week 🇺🇸

@NVIDIAGTC is back for another edition, bringing together researchers, builders, and companies shaping the next generation of AI.

Felix Fredriksson from our team will be there on-site to connect with like-minded builders and showcase our localization infrastructure

For us, GTC is a reminder of what we’re building: the voice and language infrastructure that allows content to travel across languages while preserving the original voice, emotion, and nuance.

If you're attending GTC this week, reach out to Felix to learn more about our enterprise solution

[Camb AI @useCamb_AI]

Not all voice belongs in the cloud

MARS-Nano is the smallest model in our MARS8 family of TTS models, designed for high-quality on-device voice.

It runs in constrained environments while preserving naturalness and clarity.

Expressive voice that runs entirely on-device, from phones to embedded systems, bringing lower latency, stronger privacy, and reliable performance even when connectivity isn’t guaranteed.

Voice AI just became a core part of on-device infrastructure.