Featured #13 🎙️ CAMB.AI on Building Content in Every Language, for 8 Billion People

Interviews, articles, events, and everything else Featured by SportsTechX.

Back after a hiatus, we have plenty of content to Feature so we’re reviving this one 😎

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Making Live Sports Borderless with Avneesh Prakash

What if watching a live football match in your own language didn’t depend on whether a broadcaster had a commentary team available? For CAMB.AI, that is the problem worth solving.

Speaking at Sports Tech Nation in Munich, Avneesh Prakash explains why the company started with one of localization’s hardest use cases - live sport - and how its technology is moving from multilingual broadcasts toward something much bigger: content and conversations available in every language, potentially directly from the devices in our homes.

Here’s how CAMB.AI is thinking about language, live sports, AI localization and a future where content doesn’t stop at linguistic borders.

Why is language still such a big barrier?

For Avneesh, the problem is personal.

Growing up in India, he saw firsthand how knowing English could change what someone had access to - from education and healthcare to entertainment and sport.

• India’s linguistic diversity made the inequality especially visible: language could determine what information and opportunities someone could access.

• Avneesh says learning English opened doors for him that equally capable people around him did not always have.

• That experience eventually became the larger thesis behind CAMB.AI: content is being created globally, but language still determines who can meaningfully consume it.

The company was built around the belief that technology can finally begin closing that gap.

Why start with one of the hardest use cases - live sports?

Live sports leaves almost no room for error. Commentary changes in seconds, audio is unpredictable and fans have little tolerance for latency.

• CAMB.AI started here because solving sports meant tackling emotion, prosody, timing and language together.

• Working with Major League Soccer, the company took English commentary and delivered it in four languages.

• The bigger opportunity: giving rights holders a way to reach fans in languages and markets they previously couldn't serve with live commentary.

How do you make AI commentary actually feel natural?

Translation alone isn't enough. A phrase that works in one language might need to be expressed completely differently in another.

CAMB.AI built its solution around its own specialized models:

• BOLI adapts content for the target language while preserving context and cultural sensitivities.

• MARS handles voice synthesis, including the emotion and prosody of the original.

• The system also manages multiple speakers - in one NASCAR broadcast, Avneesh says it dealt with 50+ voices across commentary, ads and interviews.

The goal is simple: the fan shouldn't feel like they're listening to a robotic AI translation.

Could your TV eventually translate the match for you?

This is where CAMB.AI's vision gets particularly interesting.

Rather than relying only on the cloud, the company has optimized its specialized models to run on consumer-device chipsets.

• Through its work with Broadcom, CAMB.AI is bringing localization to the edge.

• That could reduce dependence on cloud compute, GPUs and connectivity, while improving privacy and reliability.

• More importantly, it could eventually put language choice directly in the hands of fans.

Imagine selecting your language on a smart TV or set-top box and having the broadcast localized directly on the device.

What keeps a team chasing a goal that big?

Inside CAMB.AI, Avneesh describes the culture through the “Mamba mentality” - the idea that whatever the team can do today, it should believe it can do better tomorrow.

The mission also happens to be unusually personal for the people working on it.

• CAMB.AI has a team of roughly 50 people speaking more than 30 languages.

• Many are not native English speakers themselves.

• That means the problem they are building for is one many of them have personally experienced.

That connection matters because the company isn’t approaching language only as a commercial localization opportunity.

For Avneesh, it is fundamentally about creating a world where someone’s native language does not decide which content, conversations or opportunities are available to them.

And his advice to founders follows much the same philosophy:

From multilingual live commentary today to localization running directly on consumer devices tomorrow, CAMB.AI’s bet is that language should eventually become invisible infrastructure - not a barrier.

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Why the Attention Economy Is Becoming Sports’ Biggest Opportunity

In this episode, we speak with Chris, Partner at TenSquared Capital, about how the firm is investing across the attention economy and why sports, live experiences and fandom sit at the centre of that thesis.

• Chris explains why live sports and experiences become more valuable as AI makes content easier to create, with scarcity and exclusivity giving them an advantage in an increasingly crowded attention economy.

• We discuss why TenSquared prefers backing the technology infrastructure powering creators, athletes and entertainment businesses rather than individual pieces of IP, and how the firm looks for areas where consumer attention is high but monetization remains underdeveloped.

• Chris also shares his views on the rise of athletes as standalone brands and businesses, alongside the potential for stablecoins and tokenization to unlock new models for athlete financing, direct-to-fan commerce and fan engagement.

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