Our Services
Expert consulting services tailored to your business needs, leveraging advanced statistical analysis, predictive modeling, spatial epidemiology, and implementation science. At Quantium Insights, we offer a comprehensive suite of data-driven consulting services designed to empower organizations with data-driven insights, scalable AI solutions and measurable outcomes:
Predictive Modeling & Forecasting
♦ Leverage advanced machine learning techniques—including XGBoost, neural networks, and Bayesian models—to generate accurate forecasts and anticipate critical trends in health and enterprise settings.Spatial Epidemiology & Geostatistics
♦ Deploy rigorous spatial analysis methods such as kriging, hotspot mapping, and network analysis with tools like ArcGIS Pro, enabling precise targeting and resource allocation in public health programs.Implementation Science & Program Evaluation
♦ Apply evidence-based methodologies—including A/B testing, Difference-in-Differences, and instrumental variable analyses—to design, evaluate, and optimize program roll-outs for maximum impact.Monitoring & Evaluation Systems
♦ We design end-to-end Monitoring & Evaluation systems that align with strategy and donor requirements, strengthen data quality, and turn evidence into action. Our team builds Log/Results Frameworks, conducts needs assessment, mid-term and endline evaluations, supports research and grants, and deploys secure, cloud-based data architectures with AI-enabled tools (e.g., data deduplication) for accurate, timely reporting.Data Visualization & Real-Time Dashboards
♦ Craft intuitive, interactive dashboards with Tableau, Power BI, Streamlit, and Gradio to translate complex data into clear narratives that inform strategic decision-making.Training & Capacity Building
♦ Deliver tailored workshops and hands-on training sessions covering data management/wrangling and AI/ML applications in health and other sectors, GIS, BigQuery, ArcGIS Pro as well as scientific writing and publication. Empower your teams to independently leverage advanced data science techniques and spatial analytics for impactful outcomes.
Signature Solutions
“From data to foresight — predictive models drive real‑time early‑warning systems that transform signals into action, enabling you to see tomorrow’s challenges today.”
Predictive Modeling & Forecasting
Anticipate outcomes and optimize decisions with evidence-driven predictive intelligence.
Build and deploy high-accuracy ML and Bayesian models (XGBoost, Bayesian neural nets, hierarchical Bayes, recommenders, time-series) across health, finance, and development. In finance, we forecast credit and liquidity risk, detect fraud/AML anomalies, and optimize pricing, collections performance, and customer value. Customer analytics: churn risk, customer lifetime value (CLV), cross-sell/upsell propensity, and next-best-action. For development programs, we nowcast macro indicators (e.g., GDP, inflation, unemployment), track financial inclusion, and optimize portfolios via disbursement and cost–benefit analytics. We fuse transactional, bureau, macro, survey, and geospatial data to power early-warning systems—operationalized on AWS and Hugging Face with secure APIs and interactive dashboards.
Spatial Epidemiology & Geostatistics
Pinpoint hotspots and optimize targeting with spatially precise insights.
Apply advanced geostatistical techniques—including empirical Bayesian kriging, geographically weighted regression, and spatial clustering—to uncover geographic disparities in disease burden and program impact. Map transmission risks, service gaps, and vulnerable populations to guide targeted outreach and tailored intervention deployment. Integrate spatial analysis with predictive modeling to deliver dynamic, location-aware decision support systems that enhance program precision and effectiveness.
Implementation Science & Program Evaluation
Translate evidence into scalable, high-impact program improvements.
Design and rigorously evaluate interventions using advanced causal inference methods such as difference-in-differences, A/B testing, and instrumental variable analysis to precisely isolate program impact and optimize delivery strategies. Utilize real-time feedback loops to enable mid-course corrections that enhance uptake, retention, and overall effectiveness. Develop adaptive implementation plans that maintain fidelity to core components while allowing for necessary context-specific flexibility, ensuring sustainable and scalable results.
Monitoring & Evaluation Systems
Build transparent, resilient systems for continuous performance intelligence.
We build scalable, cloud-enabled M&E pipelines aligned with strategy and donor requirements (PEPFAR MER, WHO, national). Our systems automate key indicators, integrate DHIS2 and real-time dashboards, and embed AI-powered data quality (e.g., deduplication), predictive alerts, and anomaly detection—so risks surface early, reporting is accurate and timely, and evidence turns into action.
Standards-aligned (PEPFAR MER, WHO, national) — Strategy/donor alignment; Log Frames & Results Frameworks; needs assessments.
Integrated (DHIS2 + real-time dashboards) — Secure, cloud-based data architectures; automated indicator pipelines; AI data deduplication for high data integrity.
Proactive (predictive alerts, anomaly detection) — Early-warning insights; mid-term & endline evaluations and research/grant support to drive course correction.
Data Visualization & Real-Time Dashboards
Turn complex data into clear, decision-driving narratives.
Craft intuitive, interactive dashboards using tools such as Tableau, Power BI, and Gradio to effectively surface key performance indicators and predictive insights. Embed story-driven visualizations that connect stakeholder priorities to underlying data signals, enabling faster consensus and informed decision-making. Ensure transparency and usability through role-based views and real-time updates, facilitating seamless access and tailored experiences for diverse user groups.
Training & Capacity Building
Empower teams to own analytics, modeling, and impact evaluation.
Deliver tailored, hands-on workshops covering AI/ML applications, spatial analytics, statistical inference, and scientific communication using tools such as Microsoft Excel Analysis Toolpak, Stata, Python, R, Tableau, and Power BI. Build internal capacity to foster a sustainable, data-driven culture—addressing everything from model interpretation to reproducible reporting. Mentor analysts and program leads to independently deploy, validate, and iterate analytical solutions, empowering teams to translate data into impactful decisions.
Credibility & Evidence-Based Practice
Everything we deliver is grounded in peer-reviewed science and validated by real-world outcomes—not just theory.
Scholarly Credibility:
Our work is embedded in the scientific community. As an active peer reviewer for The Lancet Global Health, BMC Infectious Diseases, Scientific Reports, AIDS Research and Therapy, Health Science Reports, and International Journal of STD and AIDS, we remain at the forefront of methodological rigor. Recognition includes a Lancet Global Health Reviewer Certificate (August 18, 2024) and acknowledgments from journals such as BMC Infectious Diseases (September 8, 2024) and the International Journal of STD and AIDS (August 16, 2025) for our peer review contributions.
Field-Validated Models:
We prioritize real-world validation. For example, our Lasso regression model for pediatric HIV case finding in Kenya (Oct 2022–Jun 2023) predicted 3,160 pediatric HIV-positive cases, closely matching the 3,092 reported—a validation with minimal error (MAE ≈ 0.10; RMSE ≈ 0.12) and the best performance among tested models. These findings enabled precise, county-level targeting and supported more efficient health interventions.
Advanced Forecasting Across Africa:
Using XGBoost time-series models, we forecast viral load suppression trends across 21 PEPFAR-supported sub-Saharan African countries. The results demonstrated robust generalization, with low RMSE on both training (1.61) and test (2.30) sets. Our analyses (2017–2024) showed targeted program interventions—particularly multi-month dispensing and TLD rollout—drove a +15.3 percentage-point increase in viral load suppression (from 82.93% to 95.59%, p=0.0016). Major predictors included viral load coverage, PrEP uptake, population structure, and HIV seropositivity.
Geospatial Targeting — Tanzania & Kenya:
In Tanzania, integrated GWR and Lasso regression (2022–2024, 31 regions) achieved an adjusted R² of 0.784 using national survey data (THIS 2022/2023 + TDHS 2022), identifying key contributors such as men’s alcohol use, women’s education, age at first sex, and rates of HIV testing. Distinct spatial patterns informed resource allocation at the regional level.
In Kenya, spatial autocorrelation and Getis-Ord Gi* analysis pinpointed significant pediatric HIV infection hot-spots in Busia, Siaya, Migori, Embu, and Homa Bay, while Laikipia was identified as a cold-spot (Oct 2022–Jun 2023). These insights guided local public health response and prevention strategies.
Operational Impact:
Our multi-year evidence syntheses have guided strategy and program design for PEPFAR and international development partners. We leveraged unsupervised clustering to flag clients at high risk of HIV treatment interruption and established secure M&E pipelines. The introduction of interactive dashboards reduced reporting lag by approximately 25% across multiple countries, enhancing transparency and supporting faster, data-driven decisions.
