Try the tools

EvalExplorer unlocks insights from the thousands of evaluation reports that currently sit unused across the development sector. It turns dense PDFs into structured, searchable, traceable evidence, so staff can compare interventions and synthesise lessons across whole portfolios rather than one report at a time.

Every answer stays traceable back to the source document and page, so findings can be checked and cited. It's built for anyone who needs to learn from what's already been tried: evaluators, advisers, and programme teams.

DevExplorer brings AI-assisted programme analysis to the IATI dataset of development and humanitarian activities. Ask a question in plain language and it extracts insight roughly 1000× faster than reading the records by hand, while keeping people in control of the analysis.

Use it to map who is funding what and where, spot gaps and overlaps across portfolios, and pull together an evidence base for a sector or country in minutes.

TGIS helps transport decision-makers query and synthesise data across the sector. It's framed deliberately as a decision-enabler and knowledge-organiser, not a decision-maker, with two things that set it apart: detecting where the data has gaps, and scoring the quality and confidence of what it does find.

Built for governments and multilateral development banks, it is being tested against live projects and anchored in sources like the African Transport Observatory. You can try a live demo now.

A secure space that any organisation can host internally to build and test new generative AI tools: a safe place to experiment before anything touches production systems or real data.

We're developing it now. If a self-hosted sandbox would be useful to your team, tell us in the LinkedIn group. It's exactly the kind of steer we're looking for.