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DS-I AFRICA VIRTUAL NETWORKING EXCHANGE • 8 APRIL 2026

QuantSage

.io

Democratising Advanced Statistical &

Machine Learning Analysis for Researchers

Ezekiel Ukwenga

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The

Challenge

Barriers to rigorous

statistical analysis

in resource-limited

settings

Cost Barriers

Expensive licences (SPSS, SAS) exclude resource-limited researchers

Coding Requirements

R & Python demand programming skills many researchers lack

Data Privacy Risks

Cloud tools transmit sensitive patient data to external servers

Skills Gap

Limited training in data management & statistical methodology

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Introducing

QuantSage.io

Privacy-First Architecture

100% client-side processing - your data never leaves your device or browser. No server uploads, no privacy risk.

Built for Africa & Beyond

Designed with resource-limited settings in mind - zero cost, zero coding required, accessible from any browser.

AI-Guided End-to-End Workflow

Context-aware AI assistant guides researchers from data upload to publication-ready report generation.

13+

Statistical Methods

0

Data Transmitted

100%

Accuracy vs R

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What QuantSage Does

A complete end-to-end analytical platform

Statistical Analysis

T-tests, ANOVA, regression, chi-square & more

Machine Learning

Random Forest, Gradient Boosting, SVM models

Interactive Dashboards

Visualise & share results beautifully

Report Generation

Export to PDF, Word & Excel with AI writing

Evidence Synthesis

Systematic reviews & meta-analysis tools

Power Calculator

Sample size estimation with AI guidance

AI Research Assistant

Methodology guidance & result interpretation

Consult a Specialist

Connect with statisticians & researchers

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Validated Against R — The Gold Standard

Using the mtcars benchmark dataset — 5 core analyses compared head-to-head against R

Analysis

QuantSage Result

R Output

Match?

Descriptive – Mean (mpg)

20.0906

20.09062

Independent t-test (t-statistic)

-3.7671

-3.767123

Linear Regression (coefficient)

37.2851

37.285126

Pearson Correlation

-0.8677

-0.8676594

One-way ANOVA (p-value)

1.29E-10

1.29E-10

QuantSage delivers computationally exact results matching established statistical software at high precision.

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What QuantSage Offers Research Partners

Four core value propositions for your team and institution

Zero Data Privacy Risk

Client-side processing — sensitive patient & research data stays on your device. No third-party servers, no uploads, no breaches.

No Cost. No Code. No Barrier.

Freely accessible via any web browser — ideal for LMIC settings, students, and teams without software budgets.

AI-Powered Methodological Guidance

Context-sensitive AI recommends the right test, interprets results, and ensures analytical rigour — even for non-statisticians.

Publication-Ready Outputs

Auto-generated reports in PDF, Word & Excel format — reducing write-up time and accelerating knowledge translation to policy.

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What We Seek from Partners

01

Real-World Research Collaboration

We want to partner with active research teams in health & social sciences across Africa who can evaluate QuantSage in real-world study contexts and provide field feedback.

02

Institutional Adoption & Training

Collaboration with universities, research institutes, and NGOs to integrate QuantSage into capacity-building programmes, workshops, and curricula across Africa.

03

African Health Dataset Co-development

Partners to co-develop benchmark datasets relevant to African health challenges — infectious diseases, maternal & child health, NCDs — to validate and expand the platform.

04

Funding & Grant Partnerships

Connections with DS-I Africa consortium members, funding bodies, and global health institutions to support platform expansion, formal user studies, and multilingual access.

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Let's Build the Future of

Health Data Science

in Africa — Together

Visit us: quantsage.io

Connect with us after this session

Join our beta researcher community

Thank You | Questions Welcome

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