De-identified institutional & financial records
Transaction, statement and ledger records supplied by the institution that holds them, de-identified before they leave the building, and licensed for model training under a data-sharing agreement.
African financial behaviour is close to absent from the corpora that credit, fraud and forecasting models are trained on. The records exist — in banks, microfinance institutions, payment processors, cooperatives and mobile-money operators across the corridor — and none of them have ever been prepared for licensing, because preparing them is expensive, slow and nobody has offered to carry it.
This line only ever moves one way, and the constraint is not negotiable. The holding institution is the counterparty and the source. We do not buy records from intermediaries, we do not accept material whose origin is a third party, and we do not handle anything that identifies an account holder or that could authenticate as one. De-identification is performed under the institution's own supervision, against a written schema, before the material leaves their control. What is licensed onward is a statistical object, not a set of people.
It is stated as an intake line because that is what it is: there is no standing inventory and there is no public sample, and there will not be one. If your model needs African transaction structure, give us the schema and the volume and we will tell you which institutions the question can be put to and what clearing it takes.
Specification
- Counterparty
- The holding institution only — banks, microfinance, payment processors, cooperatives, mobile money
- De-identification
- Performed under the institution's supervision, before egress, against a written schema
- Excluded absolutely
- Credentials, authentication material, identifiable account holders, and anything sourced from an intermediary rather than the holder
- Formats
- Parquet, CSV or JSONL; schema and data dictionary ship with the tranche
- Legal basis
- Institutional data-sharing agreement plus an NDPA 2023 assessment, per tranche
- Status
- Sourced to mandate. No standing inventory and no public sample.
Other supply lines
Cleared African archive — radio, broadcast, film
Decades of in-language radio, broadcast and film sitting in archives that were never contracted for machine learning, in a market with no aggregator working it.
In-language conversational audio
Unscripted, multi-speaker, overlapping speech in languages with effectively no licensed commercial corpus — from cleared archive and from purpose-built collection.
Egocentric & real-world capture
Purpose-collected, head- and chest-mounted first-person video from working environments that cannot be collected anywhere else.
Instrumented & sensor-layered capture
The premium tier of embodied data — multi-rig, force-instrumented capture of manual work, stood up against a funded brief.
Enterprise & operational documents
Company archives, contracts, correspondence, forms, technical manuals and printed matter — the document layer that extraction and document-understanding models are starved of outside Europe and North America.
Property & transaction records
Listings, valuations, title histories and completed-deal records from agencies, developers and estate surveyors — the structured layer under African urban property, which no dataset currently describes.