About domainXpert
We believe the best AI is built by the best humans
Frontier models don't get smarter by processing more text. They get smarter when the right expert — with the right credentials, in the right domain — teaches them what good reasoning actually looks like.
2,400+
Verified experts
180+
Domains covered
47
Frontier models trained
98%
Quality pass rate
Our mission
Close the gap between human expertise and machine intelligence
For decades, the world's most specialized knowledge lived in the heads of researchers, clinicians, engineers, and scholars — largely inaccessible to the systems that could benefit most from it. domainXpert exists to change that. We build the infrastructure that connects credentialed domain experts with the AI labs training the next generation of models, making it possible for genuine expertise to flow into AI at scale.
Expertise over volume
We'd rather have one verified cardiologist than a thousand generalists annotating medical data. Quality of knowledge always beats quantity of contributors.
Transparency in every engagement
Experts see the full project scope, compensation, and timeline before accepting any work. No surprises, no hidden terms.
Rigor as a competitive advantage
Our QA pipelines are built to catch errors that crowdsourced platforms miss. That rigor is what makes domainXpert-trained models measurably better.
Long-term relationships over transactions
The best expert contributions come from people who understand the platform, the standards, and the mission. We invest in that relationship.
How we got here
Built by people who saw the gap firsthand
domainXpert was founded in 2023 by a team of AI researchers and domain specialists who kept running into the same problem: the training data available for specialized domains was either too shallow, too noisy, or both. Crowdsourced annotation platforms were built for scale, not depth. The result was models that could approximate expert reasoning but couldn't replicate it.
We started by building the vetting infrastructure — the credentialing system, the quality rubrics, the project-matching engine — that would make it possible to work with real experts at scale without sacrificing the standards that make expert contributions valuable.
Today, domainXpert works with over 2,400 verified specialists across 180+ domains, contributing to training runs at some of the most advanced AI labs in the world. The mission hasn't changed: get the right human knowledge into the right models, at the quality level the next generation of AI demands.
The team
The people behind the platform
Abel Alvarado
Co-founder & President
Former AI research lead at a top-5 NLP lab. PhD in Computational Linguistics from Stanford. Built the original expert-matching algorithm that became domainXpert's core infrastructure.
James Fairclough
Co-founder & CTO
Previously led data infrastructure at two frontier AI companies. Designed the QA pipeline architecture that achieves domainXpert's 98% quality pass rate.
Dr. Amara Osei
Head of Expert Relations
Practicing physician and former clinical researcher. Oversees credentialing standards across medical, life sciences, and clinical domains.
Dr. Ames Whitfield
Head of Partnerships
10 years in AI product and business development. Manages relationships with AI labs and research organizations on the platform.
Want to be part of this?
Whether you're a domain expert ready to contribute or a researcher who wants to learn more, we'd like to hear from you.