Ten capability lines, grouped by what the systems do: reason, remember, observe, hold.
Akili Smart Solutions Limited. Registered in Tanzania, building applied intelligence for industry, government and research.
We build the artificial intelligence, data and earth observation systems that institutions here actually run on, and we train the people who will keep them running.
Most technology arriving here was designed for somewhere else. It assumes bandwidth we do not have and records we never kept, then quietly underperforms, and the institution concludes the technology does not work.
Usually the institution was fine. The specification was wrong. We build against the conditions that are actually present.
Reason, remember, observe, hold. Ten capability lines sit under these four headings, each registered in the company objects.
Software and artificial intelligence built to carry a decision, not to demonstrate a technique.
The Intelligence division
The pipelines, warehouses and archives that make an organisation legible to itself.
The Data division
Geoscience, mining, agriculture and climate, read through satellites, sensors and models.
The Earth division
The creative surface, the skills, the advice and the equipment that make a system last.
Each one carries the scope the company is registered to perform, published word for word on its own page.
Systems designed, built, tested and kept running: web, mobile, desktop, enterprise, embedded and cloud.
The laboratory: applied research, prototypes, benchmarks and methods built for conditions here.
Acquisition, modelling, warehousing and analysis, ending in a number somebody is willing to sign.
Paper, maps and legacy records converted into indexed, governed, searchable holdings that outlive their hardware.
Exploration, geological modelling, GIS, remote sensing and mine optimisation, as operating systems.
Precision agriculture, climate monitoring and environmental intelligence, from the soil up.
Tools and platforms for the people who make things: studios, media houses, agencies and creators.
Transferring the skill, not retaining the dependency.
Advice from people who will also have to build the thing.
The hardware underneath: specified, supplied, installed and maintained.
No stage begins until the one before it has been signed off.
Establish the decision before the technology.
Problem statementFind out what the data can actually support.
Data inventoryDesign for the conditions, not the brochure.
ArchitectureShort cycles, working software, visible progress.
Working incrementsLeave the institution able to carry it.
Capability transferA mine and a ministry have less in common than either expects, and more than you would think: both are trying to make a decision from evidence they cannot fully see.
Exploration targeting, resource modelling, mine planning, safety monitoring and mineral management.
Open
Precision farming, soil and crop analytics, yield forecasting, irrigation control and supply chain traceability.
Open
Registries, licensing, case management, records digitization and decision support for ministries and agencies.
Open
Risk and credit models, fraud detection, regulatory reporting, data governance and core system integration.
Open
Asset monitoring, network analytics, demand forecasting and field operations systems.
OpenPatient record digitization, facility data platforms, diagnostic support and supply chain visibility.
OpenMethod, measurement and the occasional unglamorous finding. Written by the people who did the engineering.
An imported crop classification model reported 94 per cent accuracy and was wrong about a third of the fields we checked. The gap was not the model. It was the ground truth.
Institutions ask for a dashboard and discover they have bought a question. Here is the order of work that actually produces a number somebody is willing to sign.
Most exploration licences in the region sit on more geophysical and satellite coverage than anybody has looked at carefully. Fusing what exists is usually cheaper than acquiring more.
Not the technology you think you need. The decision, who makes it, and on what evidence. We will tell you plainly whether there is a system in it.
