Meridian 44Platform · Expert AI · Meridian 44 LLC
Industry AI models, trained on verified practitioner knowledge.
Most AI learns from the internet. Expert AI learns from verified domain practitioners — the people who work in each industry. Their knowledge trains the models, their names stay on every contribution, and the founding generation of contributors is being recruited now.
Where general-purpose AI falls short
Limitations of general-purpose AI
- Web-scraped training dataMost AI trains on content scraped from the internet without quality control — outdated articles, biased datasets, and unverified claims mixed together as if they were expert knowledge.
- Confident errorsGeneric AI generates plausible-sounding but factually wrong answers, particularly in specialized domains where a wrong answer carries real consequences.
- No domain expertiseGeneral-purpose models lack the operational understanding practitioners develop over decades. They cannot distinguish textbook theory from how the work is actually done.
- No accountabilityWhen web-scraped AI gives bad advice, there is no expert to consult, no way to trace the source, and no accountability for the impact on a business.
How Expert AI is designed to respond
- Practitioner-sourced knowledgeExpert AI starts from verified practitioner knowledge, not scraped internet data. Every contribution comes from a domain expert with documented credentials and industry experience.
- Verified and attributedBlockchain attribution traces every insight to its expert source. When the AI makes a recommendation, the practitioner behind that knowledge is named.
- Industry-specific modelsExpert AI is built as 44 industry-specific models, each trained on practitioner knowledge from its own vertical — not one generic model stretched across every domain.
- Continuous expert refinementPractitioners update their contributions as their industries change. The models stay current because the experts who built them keep contributing.
The expert contribution pipeline
Domain experts encode operational knowledge into industry-specific Expert AI models. Five stages take every contribution from practitioner to production.
Expert AI across 44 industries
44 of 44Expert AI is in active development for 10 industries, with architecture designed for all 44. Each industry's model is built with practitioners from that field.
Contribute to Expert AI for your industry.
Founding contributors are defining how Expert AI learns from practitioners. Your domain expertise shapes the AI your industry will use.