Kwiz Computing Technologies
One Group.
Three Brands.
Production-Grade Engineering.
We build production-grade systems across three brands: Kwiz Research for environmental analytics, climate, biodiversity, and enterprise applications; Kwiz Quants for institutional-grade systematic forex trading; and AutoMarket for automated content marketing. Scientific rigour meets software engineering discipline.
library(sf)
library(terra)
library(rhino)
species <- clean_gbif_data(“Kenya”)
eia_report <- render_eia_baseline(species)
strategy <- validate_pipeline(
cv_method = “combinatorial_purged”,
deflated_sr = TRUE
)
Division 01
Kwiz Research
Production-grade data science for environmental analytics, climate, biodiversity, and enterprise applications across East Africa.
Environmental & Climate Analytics
EIA/ESIA reproducible workflows,
GBIF biodiversity processing, GHG accounting, carbon market analytics, geospatial modelling, and Kenya NDC tracking.
Enterprise Data Science
Production R/Shiny on the
Rhino framework, data engineering pipelines, custom R packages, and Plumber APIs with 95%+ test coverage.
Engineering Foundations
R ecosystem expertise, geospatial stack, CI/CD discipline, containerised deployments, and rigorous statistical testing standards.
Division 02
Kwiz Quants
Institutional-grade systematic forex trading. Statistically validated strategies. Automated execution. Full transparency. You keep complete control of your capital.
Strategy Library
20+ strategies across 8 currency pairs — momentum, statistical arbitrage, carry, and market microstructure.
Rigorous Validation
Multi-layer pipeline: combinatorial purged CV, Deflated Sharpe Ratio, MT5 online backtests, and demo live trading.
Automated Execution
Strategies execute on your MT5 account via our
kwizmt5 R package and the
KwizStrategyTester EA. Real-time monitoring and atomic writes.
Division 03
AutoMarket
Automated content marketing for technical companies. Topic generation, AI-assisted drafting, multi-channel publishing, and analytics — running on the same data engineering discipline that backs our research and quant work.
Across the Group
Latest Insights
Recent thinking from both Kwiz Research and Kwiz Quants — climate analytics, environmental data science, R engineering, and quantitative finance.
Why Kwiz Computing
Scientific rigour. Production-grade engineering. Deep domain expertise across environmental science, enterprise data, and financial markets.
Scientific Rigour
Every analysis is evidence-backed and statistically validated — whether it’s an environmental impact assessment or a trading strategy backtest. We prioritise reproducibility, transparency, and methodological soundness.
Engineering Discipline
95%+ test coverage standard. Modular architecture built on
Rhino. CI/CD pipelines. Docker containerisation. Production monitoring.
Domain Expertise
Environment Institute of Kenya member. R ecosystem specialist. Quantitative finance practitioner. Deep experience across environmental science, public sector, and financial markets.
Environmental Stewardship
Active contributor to environmental data transparency through open-source tools like
kenyaEIAFetcher.
Ready to Get Started?
Whether you need environmental analytics, enterprise data science, or systematic trading infrastructure — we’d love to hear from you.