Today we launch OraData — a marketplace where AI companies can source training data that actually represents the real world.
Most AI training datasets are built from web scraping. They overrepresent English, urban environments, and Western contexts. The result: models that fail when deployed in Dakar, Douala, or Dhaka.
OraData takes a different approach. We work with domain experts on the ground — botanists who know their local flora, linguists who speak Wolof natively, drivers who navigate unpaved roads daily — and we pay them fairly to produce structured, GPS-tagged, protocol-driven data.
We cover six verticals: Extreme Roads (for autonomous vehicle perception beyond urban datasets), Rare Languages (for LLMs that serve 4 billion underrepresented speakers), Medicinal Flora (for ethnobotanical AI), Medical Imaging (HIPAA-compliant DICOM annotation), Physical AI (gesture capture for humanoid robotics), and Agriculture (crop monitoring and phenology).
Every dataset goes through our Golden Rule: the person who collected the data is never the person who validates it. This is enforced at the database level with three independent layers — CHECK constraints, BEFORE INSERT triggers, and Row Level Security policies. Even a code bug cannot bypass it.
For AI companies, we offer two modes: browse our marketplace and buy ready-made datasets instantly, or place a custom order and we handle everything from collection to delivery.
For contributors, we offer transparent pricing (you see what you earn before accepting), tier-based progression (Bronze to Diamond), and instant payouts for top performers.
We are OraData LLC, based in Bloomington, Minnesota. Our data speaks the truth.
