Field data collection On-the-ground gathering against the fields you define — prices, stock, conditions and photos across markets, outlets and streets.
Scraped data plateaus, synthetic data drifts — and neither ever walked outside.
The open web has already been crawled, and models trained on model output drift from the real world. What you actually need is the data no one has digitised — the price on the shelf today, the condition of a road, an answer from a real person, a label only a human eye gets right.
Gathering it means putting trained, trusted people on the ground and trusting what they send back: do that without checks and you inherit made-up rows; do it through an agency and it is slow, costly and opaque. What closes the gap is verified people collecting against the fields you define, with proof on every row and the personal data handled the way NDPA/NDPC expects.
One lifecycle, funded to signed. Fund it once — the platform runs every step and hands back one signed report.
Define & fund
The checks you can run. Each one honestly stated — Live, Pilot or Gated, never claiming more than it delivers.
Surveys and data labeling Structured surveys with real, consented respondents, and human labels for training and evaluation sets — both quality-gated with hidden checks that carry known answers, and the collector never shown to the respondent.
A multi-site study One structured study run across many sites at once and returned as a single signed deliverable — unlocking per zone as the pilot gates hold.
Go deeper
AI labs & data teams
The persona page for AI and data teams — labeling, evaluation data and Nigerian-language pairs.
GuideMarket research
The FMCG persona — price checks, shelf photography and consumer studies in the field.
Guidehannu Academy
Where collectors are trained and certified before they ever join a run — so the labels come back right.
Put your data collection on the ground.
Send verified people to collect against the fields you define — and get back one signed dataset with proof on every row.