co-founder @luelcompany | professional chef
Joined February 2009
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We're changing the game for multi-speaker separation in the real world, at scale.
Introducing Luel Multi-Speaker Separation. One messy conversation in. Every voice back on its own track, at up to 48 kHz.
Trained on real conversations from our contributor network of 900k+ users, not just studio speech.
Inigo Lenderking retweeted
There are so many seasoned software executives who are completely out of their element with the types of products that will breakout in the next few years.
Over the last 20 years, their brains were wired to build apps that deliver value by outputting deterministic results, but AI produces value from probabilistic results. This is such a different way to approach how something should work.
Young people who are thinking in this way from the outset will be at a significant advantage -- in the same way they were advantaged when thinking about how products could be social in 2010.
Inigo Lenderking retweeted
After working closely with researchers over the last few months, the slowest part of every project was the same manual data sourcing, costing days to weeks of dev time.
We are building agent-native data infrastructure.
Your agent can browse, license, pay for and download data securely, in minutes, not weeks.
The Luel data marketplace is becoming agent-native.
Buying data is still one of the slowest parts of building — procurement threads, licence review, a sample weeks later. We're taking that friction out.
Now your agent does it. Buy rights-cleared datasets, quality-assured through Luel's QA pipeline.
Have data to sell? Same workflow, same pipeline.
We're launching with our most popular datasets, with regular catalogue updates to follow
Inigo Lenderking retweeted
The Luel data marketplace is becoming agent-native.
Buying data is still one of the slowest parts of building — procurement threads, licence review, a sample weeks later. We're taking that friction out.
Now your agent does it. Buy rights-cleared datasets, quality-assured through Luel's QA pipeline.
Have data to sell? Same workflow, same pipeline.
We're launching with our most popular datasets, with regular catalogue updates to follow
Inigo Lenderking retweeted
People still underestimate how large the data market will become.
Better models do not reduce demand for data. They increase the number of useful things models can learn.
The frontier keeps moving, so the data has to keep getting harder.
Inigo Lenderking retweeted
Introducing the Luel Speech Platform
Generate production quality speech audio, through our Studio or over the API, with voices from Bhutan to Morocco
Built with Luel's 800,000+ contributor network across 96+ countries.
Your first 30 minutes are included when you sign up ⬇️
Inigo Lenderking retweeted
Dzongkha TTS — the first commercial-grade voice for Bhutan's national language.
Roughly 600,000 people speak Dzongkha, yet almost no shippable text-to-speech existed for it — digital voices default to English, leaving government announcements, citizen services and everyday interfaces without a natural option.
We're changing that — delivering a voice that reads Dzongkha in Tibetan script, neutral by default with a light emotion layer that shifts warmer or more serious, keeping a Himalayan language audible on the phones, kiosks and learning tools of daily life.
Inigo Lenderking retweeted
There’s only so much AI can learn from the public internet. Some of the harder problems require data people have to create.
With Luel Labs, @LuelCompany is taking the human-data infrastructure it has built into multimodal research, starting with speech and underrepresented languages where existing datasets fall short.
We’re excited to see where @williamnamgyal, @Lenderking, and the team take Luel Labs.
Today we're launching Luel Labs, our end-to-end multimodal data lab.
Our research is powered by Luel's global network—leveraging 750,000+ contributors across 96+ countries to generate fully consented, quality-assured audio, video, and image data.
First up — Breakthrough TTS for underrepresented languages from the tips of the Himalayas and across the Sahara. We're delivering the first commercial-grade TTS for Tibetan and Dzongkha, and outperforming existing Masri and Darija models.
Alongside this effort, we’re driving foundational research to help the industry handle messy, real-world data—pioneering new approaches to 48kHz speaker separation, conversational overlap, STT modeling, data integrity, speech understanding and more.
Inigo Lenderking retweeted
AI is being built in a few hundred languages. The world speaks around 7,000.
That gap isn't only about voice technology. It's about who gets served by the systems now shaping how people access government, healthcare, education, and work — and who gets left out because the technology never learned their language.
The people in this film speak languages most technology hasn't reached. They're not hidden from the world. They're hidden from the technology shaping its future.
Luel Labs is live!! past few weeks we’ve stacked researchers who are actually hyped about data as infrastructure. feels like we’re fully swinging the company at that problem.
Today we're launching Luel Labs, our end-to-end multimodal data lab.
Our research is powered by Luel's global network—leveraging 750,000+ contributors across 96+ countries to generate fully consented, quality-assured audio, video, and image data.
First up — Breakthrough TTS for underrepresented languages from the tips of the Himalayas and across the Sahara. We're delivering the first commercial-grade TTS for Tibetan and Dzongkha, and outperforming existing Masri and Darija models.
Alongside this effort, we’re driving foundational research to help the industry handle messy, real-world data—pioneering new approaches to 48kHz speaker separation, conversational overlap, STT modeling, data integrity, speech understanding and more.
