Services
Intelligence, built to be used.
Every engagement starts with a question your organisation actually needs answered — not a technique looking for a use case. We work across the full path from raw data to deployed decision: analysis, modelling, and the AI systems that put both into daily use, built for how East African institutions actually operate.
Which decisions in your organisation are still being made on instinct?
Advanced Analytics & Modelling
We turn operational and transactional data into forecasts, segments, and optimisation models your teams can act on directly — not dashboards that get admired once and ignored.
- Demand and revenue forecasting
- Customer, member, or population segmentation
- Risk scoring and propensity modelling
- Customer lifetime value (CLV) prediction models
- Resource and process optimisation
- Statistical and econometric modelling
For organisations with data already flowing in, but no consistent way to act on it.
Some risks and opportunities only appear when you map the relationships, not just the records.
Network & Graph Intelligence
Most analytics treats each customer, transaction, or case as an isolated row. We model them as a system — surfacing the connections, clusters, and influence structures that row-by-row analysis misses entirely.
- Fraud ring and anomaly detection
- Transaction and financial crime network mapping
- Supply chain and distribution network analysis
- Public health and contact network modelling
- Influence and stakeholder mapping
A distinct discipline from conventional analytics — and one of the more consequential gaps in most regional data teams.
From a promising model to a system your teams rely on daily.
AI & LLM Solutions
We build with both classical machine learning and modern language models — choosing the right tool for the problem rather than defaulting to whichever is trending. That includes agentic systems that carry out multi-step work, not just answer questions.
- Classical ML systems (classification, prediction, recommendation)
- LLM and small language model (SLM) applications
- Agentic AI — systems that plan and execute, not just respond
- Retrieval-augmented and domain-grounded AI systems
- Cloud, on-premise, or hybrid deployment — matched to your data residency and compliance requirements
Deployment flexibility isn't a footnote here — for institutions bound by data protection or sector regulation, where a model runs matters as much as how well it performs.
Before you build anything, know what's actually worth building.
AI & Data Strategy Advisory
We've led this thinking from inside an organisation, not just advised on it from outside — including the harder call of not building something. Advisory work covers where AI creates real leverage in your sector, what to build first, and how to govern it once it exists.
- AI and data strategy and roadmapping
- Use-case identification and prioritisation
- Build-vs-buy and vendor evaluation
- AI governance and responsible-AI frameworks
- Data protection and regulatory alignment
For leadership teams that need a clear-eyed answer, not a slide deck of possibilities.
The work should outlast the engagement.
Training & Capacity Building
We build the internal capability to extend and maintain what we deliver, so your team's dependence on outside help shrinks over time, not grows.
- Applied analytics and AI training for technical teams
- AI literacy for leadership and non-technical staff
- Hands-on workshops using your organisation's own data
- Post-deployment enablement and handover support
Often the final phase of an advisory or build engagement — sometimes the entry point.
How we work
From question to capability — a clear path.
Discover
Understand the decision or problem, not just the data. We start with what your organisation actually needs to know.
Design
Define the approach, method, and success criteria before building anything. No surprises mid-engagement.
Build
Develop and validate the model or system — iteratively, with your team involved throughout.
Deploy
Put it into production on your infrastructure of choice — cloud, on-premise, or hybrid.
Enable
Transfer the knowledge needed to sustain it. The engagement ends; the capability stays.
Engagement models
How to work with us.
We structure engagements to match how your organisation actually makes decisions and procures work.
Advisory Retainer
Ongoing strategic input on AI and data decisions — a thinking partner available as your needs evolve.
Project Engagement
A scoped build, from analysis through deployment. Clear deliverables, defined timeline, fixed or milestone-based pricing.
Managed Service
We operate and maintain the system on your behalf — so your team focuses on using the intelligence, not running the infrastructure.
Training Engagement
Capability-building, standalone or bundled with a delivery engagement. Designed around your team's actual skill gaps.
Data, deployment & governance
Your data, on your terms.
We deploy on cloud, on-premise, or hybrid infrastructure — a decision we make with you based on your regulatory environment, not a default we impose. Our approach to data protection and governance is informed by direct experience navigating East African regulatory requirements, not general best-practice reading.
Not sure which of these fits your problem?
That's the first conversation, not a prerequisite for having it.