Applied artificial intelligence, engineered for practical use.

Field reporting has a specific failure point: the work is carried out, but writing it up is slow, uneven in quality, and frequently handed to outsiders. Sendiflow addresses that point directly, across health and rights programmes including malaria, HIV, TB, SRHR, gender-based violence and others.

• Reporting time is recovered. Officers file their notes and a clean, structured draft is produced in seconds.
• Written English ceases to be the barrier. An officer who does the work well but writes formal English with difficulty still files a report that reads as well as any other.
• Every report is consistent. A single house style holds across officers, sectors and reporting periods, in place of a patchwork.
• Periodic reports compile on demand. Annual and quarterly reports assemble from what has already been filed, reducing weeks of work to minutes.
• Reporting stays in-house. The organisation no longer depends on outside help for annual reports or newsletters, and retains ownership of its own account of its work.
• Officer confidence is restored. Reports are filed without anxiety that their quality falls short of a colleague's.
• Filed from the field. Officers work without a connection and the report syncs once they are back within network.

In active use by Lawyers Alert across its health and rights programmes.

Most organisations miss funding opportunities not because they are ineligible, but because they find out too late, apply to the wrong funders, or submit proposals that do not reflect what the funder is actually looking for. Kapasivo addresses that directly.

• Opportunities matched to your organisation. Kapasivo surfaces grants, calls and funding rounds relevant to your sector, size and location, not a generic list.
• Apply with better intelligence. Understand what funders are prioritising before you commit time to a proposal.
• Never miss a deadline. Alerts and tracking keep your pipeline visible and your team ahead of closing dates.
• Built for African organisations. The platform understands the funding landscape that NGOs, SMEs and institutions in Africa actually operate within.

Nigerian Pidgin English is spoken by tens of millions of people and taught almost nowhere. Despite those numbers, it has very little presence in digital text, which is the material software learns a language from. That absence is exactly why general-purpose AI handles Pidgin so poorly, and why a source written and recorded by an authority on the language matters.

• Authored, not scraped. Derived from an original Nigerian Pidgin English dictionary written by the firm, rather than assembled from found text.
• Pronunciation of known provenance. Every entry is recorded by the dictionary's own author, so what learners hear is attested rather than inferred.
• Structured to progress. Lessons build from greetings through everyday conversation to market and transactional language.