We build the pipeline that creates raw, licensed human data at scale and feeds it into the AI ecosystem.
Consent-verified speech, face, motion, and environmental data from native contributors worldwide.
Comprehensive human data collection through a single contributor session.
Prompted and spontaneous speech, digits, voice commands. Multiple dialects per language. WAV 16kHz+, full transcriptions.
20+ facial expressions, 360° head rotation, diverse demographics. AI-ready face meshes and landmarks.
Full-body movement, hand gestures, culturally-specific actions. Pose estimation data via MediaPipe.
Non-native speakers reading and speaking in foreign languages. Ukrainian-accented English, Filipino-accented English, Spanish-accented German, and any L1→L2 combination. Metadata includes native language, proficiency level, and accent strength.
Human preference ranking, response quality assessment, safety evaluation. Multilingual evaluators across 13+ languages for LLM alignment.
Natural human translations across 13+ language pairs. Not machine translation — authentic, culturally-native text for LLM training.
Handwritten text samples across scripts: Cyrillic, Latin, Arabic, Devanagari, and more.
Photographs of body parts, skin, nails, and physical features. Diverse demographics and Fitzpatrick I-VI skin tones.
Retinal scans, dental X-rays, dermatology photos via clinic partnerships. Patient consent and clinical metadata included.
Active contributor networks with native speakers.
Custom language collection available on request
From brief to delivery in four steps.
You tell us what data you need — language, format, volume, demographics, recording conditions. We scope the project and send a quote.
Our distributed contributor network records, photographs, or annotates according to your specifications. Every contributor signs a commercial consent form.
Automated QC pipeline checks every file: SNR analysis, language verification, format compliance, metadata validation. Failed files are re-collected.
Clean, labeled datasets delivered via secure cloud transfer with full documentation: consent records, metadata, and quality reports.
Built for AI teams who need reliable, diverse, and legally cleared training data.
Every contributor signs a commercial consent agreement. No scraping, no gray areas.
Automated QC pipeline: SNR analysis, language verification, format validation.
Gender, age, region, dialect — every data point comes with full demographic context.
Need 500 Kazakh speakers under 30? 200 Argentine Spanish dialogs? We build to spec.
Focus on languages AI still struggles with. Fill the gaps in your training data.
Active contributor networks across 4 continents. Datasets delivered in days, not months.
The collection layer for AI training data.
REMI Data is an AI data infrastructure project of REMI FS LLC, a Florida-registered company based in Miami. We collect, process, and deliver licensed human data for AI/ML training — speech recordings, facial expressions, body motion, medical imagery, handwriting, and more.
Founded in 2024 by Alexander Adamov, an entrepreneur with 25+ years of business experience in Ukraine and the United States. REMI Data combines deep operational expertise in managing distributed teams with scalable data collection technology. REMI Data is a member of the NVIDIA Inception program.
We operate contributor networks across 6 countries and 4 continents, covering 13+ languages — with a focus on underrepresented languages that AI still struggles with.
Founder & CEO
Entrepreneur with 25+ years of business experience in Ukraine and the United States. Background in managing distributed international teams, real estate development, and technology operations. Based in Miami, FL.
Tell us what data you need. We'll scope, price, and deliver.