Real-time speech translation powered by smart predictions.
Real-time speech-to-speech translation powered by Predictive Semantic Modeling—anticipating your meaning, bridging languages instantly, and making every conversation feel natural.
Our reason why
Why Us?
The founders of BabelBit bring decades of experience delivering disruptive patented innovations to diverse multi-sector global markets...
Why Now?
For decades, researchers have tried to automate simultaneous interpretation — to replicate what profess...
Unique Technology
BabelBit is not simply applying LLMs to speech. We are extending what an LLM fundamentally does.
From Speech to
Understanding in a Split Second
Hit play, start talking, and experience
effortless understanding.
Getting Started
Decentralised Development
with financial incentives
Track competition results, explore the code, and start mining with clear, step-by-step guides.
Latest from X
@babelbit
After successfully validating our proof of concept with French > English, we're excited to announce that Babelbit is entering the next phase: Expansion. Over the coming months, we'll be adding new languages to expand the capabilities of Babelbit, starting with Spanish. Every https://t.co/OAurfATApj
https://t.co/eYL5zWc1mh
Attention Babelbit miners! You can now get 24/7 agentic support (from Clawdia) in our own $TAO Discord channel. Support covers: ▪️Babelbit public repo ▪️Challenge result data ▪️Miner onboarding support For any other issues you can as always catch us in the Bittensor discord https://t.co/3thgLdnJye
@TaoOutsider @mogmachine @tom_tensor We will, only just getting started!
After our previous conviction lock announcement, where parts of the core team, including @mogmachine and @tom_tensor, locked their Alpha, we are delighted to announce that 20% of our owner key emissions will now be conviction locked going forwards. Our focus remains unchanged: https://t.co/PhKShfkstK
This article marks the beginning of a broader effort to showcase the market opportunity in front of Babelbit. Most people have no idea how large the interpretation market really is, and that's understandable. Interpretation is used across a wide range of industries: Healthcare, https://t.co/QMJA7LiInl https://t.co/9XrHHcqxp0
https://t.co/Z0i1cmNx1K
@sobczak_mariusz Grateful for your ongoing belief - thankyou!🫶
Conviction 💥 From day 1 building on Bittensor has been a privilege. Core team conviction lockups from @tom_tensor and @mogmachine - Bullish on @babelbit 🚀A big shout out to all of our supporters for your belief so far 🙏 Much much more to come 🫡 https://t.co/6aXz3HD54Y https://t.co/JPseJJkiWc
Faster isn't the same as earlier. Earlier isn't the same as better. Most translation systems optimise for speed. That's not wrong. Speed reduces latency. Latency matters. But there's a third dimension most systems ignore entirely. The moment meaning becomes usable. A system
Most subnets produce an output. It gets used. Then it's gone. Babelbit works differently. Every competition round improves the underlying system. Better prediction. Better calibration. Better domain adaptation. The foundational intelligence - context, cultural awareness - comes https://t.co/QArcxcJPkE
https://t.co/mknJdD4iT0
Every translation benchmark in use today rewards the wrong thing. BLEU, AL, DAL, LAAL, ATD - all measure how closely machine output matches input. None measure what actually matters: whether the meaning arrived. BLEU is the standard benchmark for translation quality. Measures https://t.co/Jft20mojRj
🥐 Fr: Je pense que vous avez tout à fait raison. 🌍 Standard: I think you are absolutely right. 🚀 Babelbit: Agreed. The correct translation is one word. Same meaning. Half the latency. Better conversation. This is adequacy over accuracy. A translator converts what was said. https://t.co/PjkOAwd5Lo
D'oh! Forgot the link!!!!! https://t.co/RUtvYwrnOb Full instructions contained in the repo including access to some of our latest R
Latency under 2 seconds. Performance ahead of SOTA. We've accelerated our GTM plan by two months. First phase launches this month: • Building a reseller network via B2B systems integrators • Targeting marquee brands as early adopters • AWS Marketplace as the primary conduit https://t.co/FbTSeGoZC3
Calling speech and language ML talent. Join an ongoing competition to train a low-latency transformer network to predict and paraphrase as it translates. $400k paid out over the last six months. Phase 2 is starting now, and the bounty will only grow as the competition delivers.
Working with Mark again was a total pleasure, and especially getting the whole team involved. We are creating more and more new features all the time, and of course we will be putting out our usual (slightly dry) demos. However, doing the demos live in the middle of a https://t.co/F56Ly6fK2r
Looking forward to this one. Bring your questions on how we're building speech-to-speech translation without text steps, why predictive models change the game for latency, or how we're applying professional interpreter techniques in the incentive mechanism. We've been https://t.co/BWuyNIETsb
In October 2025, founder Matthew Karas built Babelbit's first prediction engine prototype with a single LLM prompt. No code written by hand. Two out of three scripts ran first time. One had a bug - fixed in one iteration. He then handed it over to chief scientist Josh to expand
After successfully validating our proof of concept with French > English, we're excited to announce that Babelbit is entering the next phase: Expansion. Over the coming months, we'll be adding new languages to expand the capabilities of Babelbit, starting with Spanish. Every https://t.co/OAurfATApj
https://t.co/eYL5zWc1mh
Attention Babelbit miners! You can now get 24/7 agentic support (from Clawdia) in our own $TAO Discord channel. Support covers: ▪️Babelbit public repo ▪️Challenge result data ▪️Miner onboarding support For any other issues you can as always catch us in the Bittensor discord https://t.co/3thgLdnJye
@TaoOutsider @mogmachine @tom_tensor We will, only just getting started!
After our previous conviction lock announcement, where parts of the core team, including @mogmachine and @tom_tensor, locked their Alpha, we are delighted to announce that 20% of our owner key emissions will now be conviction locked going forwards. Our focus remains unchanged: https://t.co/PhKShfkstK
This article marks the beginning of a broader effort to showcase the market opportunity in front of Babelbit. Most people have no idea how large the interpretation market really is, and that's understandable. Interpretation is used across a wide range of industries: Healthcare, https://t.co/QMJA7LiInl https://t.co/9XrHHcqxp0
https://t.co/Z0i1cmNx1K
@sobczak_mariusz Grateful for your ongoing belief - thankyou!🫶
Conviction 💥 From day 1 building on Bittensor has been a privilege. Core team conviction lockups from @tom_tensor and @mogmachine - Bullish on @babelbit 🚀A big shout out to all of our supporters for your belief so far 🙏 Much much more to come 🫡 https://t.co/6aXz3HD54Y https://t.co/JPseJJkiWc
Faster isn't the same as earlier. Earlier isn't the same as better. Most translation systems optimise for speed. That's not wrong. Speed reduces latency. Latency matters. But there's a third dimension most systems ignore entirely. The moment meaning becomes usable. A system
Most subnets produce an output. It gets used. Then it's gone. Babelbit works differently. Every competition round improves the underlying system. Better prediction. Better calibration. Better domain adaptation. The foundational intelligence - context, cultural awareness - comes https://t.co/QArcxcJPkE
https://t.co/mknJdD4iT0
Every translation benchmark in use today rewards the wrong thing. BLEU, AL, DAL, LAAL, ATD - all measure how closely machine output matches input. None measure what actually matters: whether the meaning arrived. BLEU is the standard benchmark for translation quality. Measures https://t.co/Jft20mojRj
🥐 Fr: Je pense que vous avez tout à fait raison. 🌍 Standard: I think you are absolutely right. 🚀 Babelbit: Agreed. The correct translation is one word. Same meaning. Half the latency. Better conversation. This is adequacy over accuracy. A translator converts what was said. https://t.co/PjkOAwd5Lo
D'oh! Forgot the link!!!!! https://t.co/RUtvYwrnOb Full instructions contained in the repo including access to some of our latest R
Latency under 2 seconds. Performance ahead of SOTA. We've accelerated our GTM plan by two months. First phase launches this month: • Building a reseller network via B2B systems integrators • Targeting marquee brands as early adopters • AWS Marketplace as the primary conduit https://t.co/FbTSeGoZC3
Calling speech and language ML talent. Join an ongoing competition to train a low-latency transformer network to predict and paraphrase as it translates. $400k paid out over the last six months. Phase 2 is starting now, and the bounty will only grow as the competition delivers.
Working with Mark again was a total pleasure, and especially getting the whole team involved. We are creating more and more new features all the time, and of course we will be putting out our usual (slightly dry) demos. However, doing the demos live in the middle of a https://t.co/F56Ly6fK2r
Looking forward to this one. Bring your questions on how we're building speech-to-speech translation without text steps, why predictive models change the game for latency, or how we're applying professional interpreter techniques in the incentive mechanism. We've been https://t.co/BWuyNIETsb
In October 2025, founder Matthew Karas built Babelbit's first prediction engine prototype with a single LLM prompt. No code written by hand. Two out of three scripts ran first time. One had a bug - fixed in one iteration. He then handed it over to chief scientist Josh to expand
Our Story
Babelbit was founded by a speech technology innovator with over 25 years of experience and a long backlog of ideas for products that traditional deep learning could not yet support.
Team
Our Story
Babelbit was founded by a speech technology innovator with over 25 years of experience and a long backlog of ideas for products that traditional deep learning could not yet support.
The company exists to fix the poor experience of today's “simultaneous translation” tools, which are often too slow and overly literal, and to make effortless understanding possible in high-stakes multilingual meetings.
Conquests
Latest Winners
Track competition results, explore the code, and start mining with clear, step-by-step guides.
Mining
Latest Winner:
5Cr5uDxqFUeApRq5AHFiPLfPyG6GLUy14814c4uymsxrQtXY
Prices
TAO:
$215.10
-
Alpha:
0.0037 TAO