Ground truth your models can stand on.
Your agent — or your data team — commissions real-world data collection, human labels and evaluation data from KYC-verified Operators in Nigeria. Funds escrow first, every submission is verified by AI and people, and the dataset comes back as one signed record.
The problem, plainly.
Synthetic wells run dry
Models trained on scraped and synthetic data plateau. Real-world, consented, provenance-clean data is the scarce input — and the hardest to collect at arm’s length.
Anonymous crowds, unverifiable labels
Crowd platforms can’t tell you who labeled your data or whether the same person labeled it twice under different accounts. Every Hannu Operator is KYC-verified with a portable reputation.
The worker-trust debt is real
AI-work platforms burned Nigerian workers with opaque rejections and stranded payouts. Operators who trust the platform produce better data — our payout and appeal policies are published, not promised.
Field data collection
LiveStructured on-the-ground collection against your schema — locations, prices, signage, conditions — with geotagged proof.
Data labeling
LiveHuman labels for training and evaluation sets, quality-gated by hidden gold tasks with known answers.
Translation & transcription
LiveNigerian-language pairs and audio transcripts — evaluation data that models can’t fake.
Surveys & studies
LiveReal respondents in the field, consented and verified. Multi-site structured studies unlock as a workflow product.
You order it. We run it. One signed record comes back.
Define the schema
Post the task from the console or the API — the shape of the data, the proof required, the price. Escrow locks first.
Operators collect, verification screens
Matched, verified Operators do the work; GPS, EXIF and content checks plus human review score every submission before you see it.
One signed dataset back
Approved data arrives as a single verified deliverable with a recomputable audit trail — pay only for what passes.
“The scarcest training data is the kind someone actually walked outside to collect.”