AI training data for every language

For a world without language barriers
Our global clients identify language barriers.
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We use our proprietary dataset engineering tool to create the ideal domain-specific datasets for Large Language Models (LLMs) and Neural Machine Translation systems  (NMTs)
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Our local partners work with their networks of native speakers who submit AI training data using our mobile apps.
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We offer custom fine-tuning services for the data we collect.
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We provide API endpoints to custom LLMs, NMTs, TTS, and STT models
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Our language solutions unlock opportunities for flourishing everywhere on earth.

The latest AI breakthroughs in language have unlocked new possibilities to solve a global infrastructure challenge. XRI is leading the way.

Founder/CEO

Daniel Wilson
Daniel has an MA and PhD in linguistics and has consulted on language technology development for low-resource languages in over 15 countries. He lived abroad for 5 years in the Republic of Georgia and Russia and has extensive experience in linguistic documentation of endangered languages. Daniel is intimately aware of the multilingual complexity of the developing world and is passionate about bringing the energy and innovation of a technology company to solving this global infrastructure challenge.

Head of Machine Learning

Jonathan Shaw
Jonathan has an MA in computer science and a PhD in Machine Learning and worked at Meta as an AI Software Engineer where he lead their speaker identification technology initiative. Before that he worked as the tech lead and principal researcher at Sensory, a speech technology company.

Data Scientist

Dillon Mee
Dillon is a PhD candidate in Computational Linguistics from University of Arizona. He has a BA in Linguistics from UC Berkeley, an MA in Language Technology from University of Arizona, and an MA in Teaching from USC. He was born in Oman and has lived in Lebanon and Azerbaijan.

Director of Administrative Services

Kerry Wilson
Kerry has a degree in Global Studies and experience in small business development, monitoring and evaluation, and INGO strategic planning. She is bi-lingual (English, Russian) and has lived and worked abroad with speakers of minority languages.

Director of Data Governance

Joanne Boisjolie
Joanne has an MBA from Indiana Wesleyan University and a BS in Computer Science from Minnesota State University, along with Executive training from Yale University. Joanne is responsible for XRI's data compliance and capacity for scale. Joanne brings decades of experience in data management and governance with international experience including as PriceWaterhouseCoopers’ Global Chief Data - Office Portfolio and Programme Director; Director of Enterprise Information at AMTRAK; Data Project Lead for the US Office of the Secretary of Defense; Enterprise Data Management Practice Manager and SME for the US Army and Air Force; IT Development Manager for the Administrative Offices of the US Courts; and Senior Consultant to the US Department of Justice on the National Courts System Statistical Reports for Congress.

Director of Operations

Jeff Bruinsma
Jeff has an MBA from Michigan State and has served as an Executive in both finance and HR roles for multi-billion dollar companies such as L3Harris, DynCorp International, and Raytheon. Jeff has a strategic responsibility for ensuring that XRI can scale efficiently and effectively according to industry best practices.

Senior AI Engineer

Timothy Khouw
Timothy earned his PhD in theoretical physics from Boston University. As vice president of a quantitative hedge fund, Timothy has designed predictive AI models and robust automated systems that directly manage billions of dollars of capital daily. Prior to his career in finance, he conducted research at CERN in Geneva, Switzerland, the world's premier particle physics research institute. Born in Dallas, Texas, Timothy attended the University of Notre Dame where he served as president of the Society of Physics Students.

Founder

Daniel Wilson
Daniel has a PhD in linguistics and has consulted for over 5 years on language technology development for low-resource languages in over 15 countries. He lived abroad for 5 years in multiple countries and did linguistic documentation of endangered languages. He is intimately aware of the multilingual complexity of the developing world and is passionate about bringing the energy and innovation of a technology company to solving this global infrastructure challenge. Daniel previously founded a web3 startup.

Head of Machine Learning

Jonathan Shaw
Jonathan has a PhD in Machine Learning and worked at Meta for 3 years as an AI Software Engineer where he lead their speaker identification technology initiative. Before that he worked as the tech lead and principal researcher at Sensory, a speech technology company.

Data Scientist

Dillon Mee
Dillon is currently working on a PhD in Computational Linguistics from University of Arizona. He has a BA in Linguistics from UC Berkeley,  an MA in Language Technology from University of Arizona, and an MA in Teaching from USC. He was born in Oman and has lived in Lebanon and Azerbaijan.
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Language Technology Specialist

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Operations Lead

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Operations Manager

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Data Compliance Director

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Founder

Instead of downloading multiple programs or requiring specific plugins with access to a software’s internals, you download our AI on your computer only once.
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Head of Mahine Learning

By using a single prompt, our AI works to finish multiple rudimentary tasks at once that would otherwise be time-consuming, so you can focus on more meaningful work.
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Data Scientist

By rating the performance of the task and the error you get  aresent back to our servers, are corrected, then re-deployed to the entire network using RLHF/RLAIF.

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