For NGOs & development partners
Monitoring and evaluation is judged on method as much as findings. The hard part was never the analysis — it is reaching people who are offline, paying them where banking does not reach, and producing something an auditor can follow afterwards.
Reporting requirements increasingly ask how a figure was produced and whether the underlying data can be re-examined. Most collection tools cannot answer that.
A single baseline can absorb a large share of a programme grant before any analysis happens, and the resulting dataset usually cannot be reused.
Rural, offline, unbanked, and speaking a language most panels do not support. They are exactly the population the programme exists to serve.
Field teams collect with ODK Collect or KoboCollect on any Android device, with no signal, and submissions sync when they are back online. Surdatics implements the open standard rather than integrating one vendor.
Direct payout to local bank accounts or in stablecoin. A payout method is only ever offered when the platform can actually settle it, so nobody is debited for a payment that cannot be made.
Each round produces a dataset with its own fingerprint and timestamp. You can show a funder that the endline is the endline, unaltered since collection.
A short facial liveness check confirms one real, unique person — which is what stops duplicate enumeration and ghost respondents before they reach your data.
27 languages, 17 of them African. Surda AI drafts the translation and your team reviews it before anything goes to field.
Responses are charted, cross-tabulated and summarised as they arrive, with anomaly flags for speeding, straight-lining and duplicate text.
Read live from the platform, not written into this page.
What a seal establishes, precisely: that a dataset has not been altered since collection, how many responses it held, and that contributors were compensated. It does not certify sampling design or field quality — those remain your methodology, and ours is built to make them auditable rather than to vouch for them.
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.
