What institutional evidence looks like, sector by sector
The same discipline applies everywhere we work: evidence with lineage, ownership that survives a leadership change, and decisions that improve because they are measured. What differs by sector is the data source, the regulatory context, and who is accountable for the decision. Here is how that plays out across the markets we operate in.
Our Focus Areas
Public Sector & NGOs
- We work with governments and not-for-profits across Africa to build the evidence and governance layer that lets impact be monitored, measured, and defended to funders and auditors alike
Agriculture
- We combine local agronomic data, IoT sensor telemetry, agro-input sales, and farmer income patterns into evidence that survives a subsidy audit — not just a market-sizing slide. That evidence tells input suppliers where real demand sits and lets governments verify a program is reaching the farmers it was designed for
Retail & FMCG Evidence
- We combine traditional and modern trade data with promotion and advertising spend into forecasting models FMCG operators can trace back to a source — not a black-box prediction they have to take on faith
Smart Cities
- We help governments design smart-city roadmaps and process the IoT sensor data those roadmaps depend on — with the same instrumentation discipline that keeps a sensor network trustworthy years after installation, not just at launch
Utilities
- We work with energy and water utilities to turn real-time metering and telemetry data into decisions regulators can audit — improving service delivery and uncovering pricing models that hold up under scrutiny, not just at first read
Financial Services
- We work with banks, insurers, and fintechs to build fraud detection and business-opportunity analysis on evidence with a traceable audit trail — the standard regulators and risk committees actually require
Healthcare & Pharma
- We work with healthcare providers and pharma companies to build decision-support tools on evidence that is verified and governed, because in this sector an unverified input is not just a bad dashboard — it is a patient-safety risk