The data your model is missing.
Jwuma sources, vets, trains and pays a workforce across 12 countries for the categories that are thin in every scraped dataset. Low-resource languages, code-switched speech and imagery from markets the web never photographed properly.
What we run
Field capture
Real-world imagery collected by contributors physically present in the market. EXIF preserved for provenance, capture checklists enforced in-app, consent recorded where people or private property are in frame and validators rejecting blur and duplicates before the batch ever reaches you.
Speech and transcription
Transcription with speaker turns and code-switch tagging, done by native and fluent speakers sourced in-region. Quality tracked per language rather than pooled into a single misleading average.
Evaluation and red-teaming
Human judgement against a rubric you author. Frozen at batch start so a run is always judged against one auditable standard, with calibration tasks keeping reviewers aligned before production work begins.
Terms that run as code, not as a PDF
The commercial protections that normally live in a contract nobody enforces are implemented in the platform, visible to both sides in real time.
- Review clock with a visible countdown on every delivery
- Deemed acceptance on expiry, so nothing stalls indefinitely
- Rejection cap with a calibration trigger above threshold
- Cure window routing rejected work back for correction
- Prepaid balance drawing down per accepted task, with low-balance alerts
- Country restrictions enforced at assignment, not just documented
Ethics as constraints, not marketing
Contributors are paid on our QA acceptance, never on your review timeline. A slow review cycle on your side never becomes an unpaid worker on ours.
Automation may flag or hold work. It cannot reject a submission, decline an applicant or ban an account. Every such decision is made by a named human and written to an audit log.
We store performance metrics only. Personality and behavioural inference about workers is absent from the data model entirely, which means it isn't a setting anyone can quietly flip on later.
What clients ask first
Tell us what you need collected
Bring a spec, a sample or just the gap you've found in your data. We'll tell you honestly whether we can source it and what it would take.