A focused services and products stack, deployed under your direction.
We pair senior practitioners with a disciplined delivery method — design, build, validate, document, handover — so every model we ship is auditable, explainable and ready for production on day one.
01
Data Science & Machine Learning
Predictive intelligence engineered for production
End-to-end design, build and validation of predictive, classification and forecasting systems — from credit-risk decisioning and fraud detection to churn, recommendation and advanced time-series models including Temporal Fusion Transformers and other deep-learning architectures.
/Credit risk & fraud modelling
/Churn, retention & CLV
/Time-series & demand forecasting
/Segmentation & recommendation
/Statistical & econometric modelling
/Model validation & backtesting
02
Generative AI & LLM Systems
Retrieval-grounded, governable language models
Design and deployment of enterprise-grade generative AI: fine-tuned LLMs, retrieval-augmented generation, autonomous AI agents and document-intelligence pipelines — built within strict security perimeters and audit trails.
/RAG architecture & vector search
/Private LLM fine-tuning
/Autonomous agent workflows
/Document & contract intelligence
/On-premise & sovereign deployment
03
Data & Analytics Engineering
The data fabric beneath every model
Resilient ingestion, warehousing and feature pipelines that turn fragmented enterprise data into the trustworthy datasets AI/ML use cases depend on. Petabyte-scale experience across cloud and hybrid environments.
/Lakehouse & warehouse design
/Streaming & batch pipelines
/Feature stores & MLOps
/Data quality & lineage
/Single source of truth integrations
04
AI Governance & Explainability
Model risk discipline for regulated institutions
Validation frameworks, model cards, explainability outputs and governance scaffolding aligned to the standards expected of multilateral and Tier-1 financial institutions.
/Model risk frameworks
/Explainability (SHAP, LIME, counterfactual)
/Bias & fairness assessment
/Model cards & documentation
/Regulatory alignment
05
Capability Building & AI Enablement
Knowledge transfer as a first-class deliverable
Board, executive and technical training programmes designed to build durable in-house data and AI capability — informed by a heritage of mentoring 1,000+ data professionals across Africa.
/Executive & Board AI literacy
/Technical upskilling tracks
/Embedded knowledge transfer
/Analytics enablement clinics
/Curriculum design & delivery
06
AI Trainings
Hands-on, role-targeted AI and data upskilling
Structured AI and data training programs for executives, analysts, engineers and product teams. Each cohort blends instructor-led workshops, applied labs on your own data, and assessments — designed to leave participants able to ship governed AI work, not just describe it.
/Executive AI literacy & strategy masterclasses
/Applied machine learning bootcamps for analysts
/Generative AI & prompt engineering workshops
/MLOps and production AI for engineers
/Responsible AI, governance & model risk training
/Custom in-house curricula on client data
07
Capacity Development Programs
Multi-month programs that build institutional AI capability
Long-form capacity development for ministries, regulators, banks, and enterprises seeking to stand up internal data and AI functions. We combine training tracks, mentored delivery on real use cases, governance scaffolding and a measurable competency framework — so capability stays inside your organisation after we leave.
/Institutional AI readiness & maturity assessment
/Curriculum design aligned to NQF / sector standards
/Mentored project delivery on live business problems
Pre-built AI accelerators tuned for African operating contexts
Productised AI solutions and accelerators we deploy and tailor to your environment — covering document intelligence, credit and fraud analytics, conversational assistants and reporting copilots. Each product ships with governance artefacts, monitoring and a clear path to in-house ownership.
/Document intelligence & KYC automation
/Credit scoring & portfolio risk accelerators
/Fraud & anomaly detection toolkits
/Conversational assistants for operations & support
/Regulatory & management reporting copilots
/Private, on-prem and sovereign deployment options
Methodology
From discovery to handover.
01
Discovery & framing
Use-case framing, success metrics, data assessment, governance alignment.
02
Data & feature engineering
Lineage, quality controls, feature stores and reproducible pipelines.
03
Model design & validation
Methodology selection, baselines, backtesting, fairness and explainability.