Intwasa
Technologies
Each of these is written, hosted and maintained by Intwasa. Status is stated plainly: live means real users depend on it today.
Satellite agronomy and land assessment.
Satellite NDVI field monitoring, seasonal drought risk, generated crop schedules and on-device pest identification.
Sentinel-derived vegetation indices with per-field zone breakdowns, a drought model calibrated to Zimbabwe's natural regions, phenology-driven management calendars, an offline pest and disease classifier that runs on the handset, a 329-variety seed library and export certification tracking.
Estate due-diligence dossiers — boundaries, soils, water and access assembled into one reviewable brief.
Interactive mapping over parcel geometry with layered environmental and infrastructure context, built for the question an acquirer actually asks: what is on this land, and what will it cost to farm it.
Examination preparation, secondary through tertiary.
Past papers, generated quizzes and live tutoring for the secondary syllabus.
A worked past-paper archive with automatic marking, spaced-repetition quizzing and scheduled sessions with tutors, delivered to low-end Android handsets on intermittent data.
The same apparatus aimed at tertiary coursework.
Module-level material, assessment practice and tutor matching for undergraduate study.
Marketplace infrastructure for physical retail.
Multi-mall marketplace with a seller application, reviews, loyalty and push messaging.
Shopper and seller applications over a shared catalogue, with review collection, a points programme and campaign notifications — all keyed to a phone number, because requiring an account is where this market drops off.
Applied language models against documents that carry risk.
Deal and contract assessment — obligations, exposure and the clauses that move money.
Reads a commercial agreement or deal pack and returns a structured assessment: what each party is committed to, where the asymmetries sit, and which terms warrant a negotiator's attention before signature.
Structured relationship assessment.
The same assessment machinery pointed at compatibility rather than commerce.
The portfolio looks broader than it is. Underneath, the products share one stack and one set of hard-won answers to the same problems: Python services, Android clients, and a delivery layer built for networks that drop.
Applications self-update outside the app stores, because store distribution is not reliably available in every market Intwasa serves. Downloads resume from where they failed and verify themselves before installing, because a truncated file on a metered connection is the normal case rather than the exception. Machine-learning models are quantised to run on the handset. Databases are migrated additively — columns are added, user data is never rewritten.
None of this is visible in a screenshot. It is most of the reason the software works where it is deployed.
Several of these platforms can be deployed for an organisation's own users — a cooperative, a school group, a mall operator or a development programme. Write to hello@intwasa.com to discuss a pilot.