We bring AI ideas
to life across Africa.
From idea to deployed, scalable AI. Siscom AI Engineering Lab partners with pan-African organisations to unlock 4th Industrial Revolution opportunities — building commercial AI applications that augment internal processes and increase revenue.
From idea to production.
End to end.
We dedicate a specialised team of engineers, AI researchers, scientists, designers and creators to every engagement — from the first whiteboard session to a scaled, live product.
Idea & Discovery
We map your problem, your data landscape and the AI opportunity. Feasibility assessment. ROI modelling.
Data & Classification
Data audit, cleaning, labelling and structuring. Building the data clusters that power accurate models.
Model & API Exploration
We evaluate applicable LLMs, APIs and model architectures. Build vs fine-tune vs integrate — the right call for your use case.
Engineering & Build
Full-stack AI engineering. Agents, pipelines, integrations. Built to be commercial, scalable and maintainable.
Deploy & Scale
Production deployment, monitoring, retraining and optimisation. Your AI improves with every interaction.
Four ways we build
AI with you.
AI Research
We study your domain, your data and the state of the art to identify the highest-value AI applications for your specific context.
STRATEGICModel Building
Custom AI model development. Fine-tuning foundation models on your data. Training proprietary classifiers, predictive models and computer vision systems.
TECHNICALAI Engineering
End-to-end AI systems engineering. Agentic applications, LLM integrations, data pipelines, APIs and production deployment on cloud infrastructure.
DELIVERYAI Consulting
Strategic AI advisory for enterprise leadership. Roadmapping, vendor evaluation, responsible AI governance and team capability building.
ADVISORYAI built for Africa's
most critical sectors.
We don't build generic AI. Every solution is designed for the specific data environment, regulatory context and operational reality of African enterprise.
Banking & Financial Services
Real-time fraud AI — Transaction monitoring that flags anomalies in milliseconds across M-Pesa, card and RTGS payment rails.
Insurance claims AI — Automated claims triage, fraud scoring and settlement recommendation.
CX AI agent — Intelligent customer care for frontline teams. Handles routine queries, escalates intelligently.
Manufacturing & Supply Chain
Anti-counterfeiting AI — Computer vision models that detect counterfeit products at production, retail and distribution points.
Supply chain monitoring — End-to-end visibility with predictive disruption alerts and inventory shortfall detection.
Predictive maintenance — ML models that predict equipment failure before it occurs. Reduce unplanned downtime by 40–60%.
Security & Intelligence
CCTV case monitoring — AI layer on existing CCTV infrastructure — perimeter breach, crowd density, vehicle recognition.
IoT sensor intelligence — AI models that process and correlate data from IoT sensor networks and surface actionable intelligence.
Predictive threat modelling — AI systems that model historical incident data to predict emerging risk patterns.
Healthcare & Genomics
Gene sequencing AI — ML pipelines for genomic data analysis. Variant classification and disease marker identification.
Precision medicine — AI models that personalise treatment recommendations based on patient genetics and history.
Hospital operations AI — Bed management, theatre scheduling, staff optimisation and supply chain forecasting.
Three phases.
One outcome.
Every engagement follows a proven three-phase structure. You get clarity before commitment. We get the context to build right.
PHASE 01
Discovery
KES 150,000 — 300,000
- →Problem definition and use case mapping
- →Data landscape audit and readiness assessment
- →AI opportunity identification and prioritisation
- →Technical architecture recommendation
- →ROI modelling and business case
- →Detailed build proposal with scope and timeline
PHASE 02
Build
KES 1,500,000 — 5,000,000
- →Dedicated engineering and research team assigned
- →Data pipeline and cluster engineering
- →Model selection, fine-tuning and development
- →API integrations and system connections
- →User interface and experience design
- →Testing, validation and production deployment
PHASE 03
Maintain & Scale
KES 50,000 — 200,000/mo
- →Ongoing model monitoring and performance tracking
- →Model retraining as new data accumulates
- →Feature development and product evolution
- →Monthly performance and ROI reporting
- →Priority support and incident response
- →Scaling infrastructure as usage grows
Your AI idea deserves
to be built.
Book a 2-week discovery session with the Siscom AI Engineering Lab. We will map your problem, your data and the AI opportunity — and show you exactly what is possible.
Book Discovery SessionDiscovery session · KES 150,000 · 2 weeks · Applied to build cost on engagement