For universities & researchers
Primary data collection is where most research budgets go and where most replication fails. The instrument, the sample, the payments and the archive are usually four separate problems, each solved badly under time pressure.
Commissioning professional fieldwork often costs more than the rest of the project combined, which quietly shapes what questions get asked at all.
Reviewers increasingly ask for the underlying data. A spreadsheet on a laptop is not a defensible archive, and it cannot prove it is the version the analysis used.
Recruiting a specific population — by profession, region or language — is slow, and paying them across borders is slower.
Describe the research goal and Surda AI drafts questions checked for leading and confusing wording. You edit it; nothing is fielded without your review.
Filter by age, gender, location, education and profession, and see how many verified respondents match before you commit any budget.
Field with ODK Collect or KoboCollect where there is no signal, in 27 languages including 17 African ones, and get one dataset back regardless of channel.
Each dataset carries a SHA-256 fingerprint and a timestamp anchored to a public ledger — a reviewer can confirm the data behind your analysis is unchanged, without an account.
List a dataset on the marketplace and other teams can license it. Respondents share in every resale, which is also why they answer carefully.
The free plan collects responses, drafts surveys with AI and seals datasets. No sales conversation to begin.
Read live from the platform, not written into this page.
Worth being precise about: a seal establishes that a dataset is unaltered since collection and that respondents were paid. It is not a peer review and makes no claim about sampling validity — that stays your methodological responsibility, which is exactly as it should be.
Check any dataset's fingerprint yourself →Who you need to hear from, roughly how many responses, and where. You will hear back from someone who can actually answer it.
