Kwiz Computing Technologies
Transform Data into
Strategic Decisions
We build production-grade data science systems that create value across environmental analytics, enterprise applications, and quantitative finance. From climate risk assessment to systematic trading, we combine scientific rigour with modern software engineering.
library(sf)
library(terra)
library(rhino)
species <- clean_gbif_data(“Kenya”)
eia_report <- generate_esia(species, region)
strategy <- validate_pipeline(
cv_method = “combinatorial_purged”,
deflated_sr = TRUE
)
What We Do
Three Pillars of Expertise
Deep domain knowledge across environmental science, enterprise analytics, and quantitative finance — unified by production-grade engineering standards.
Environmental & Climate Analytics
EIA/ESIA reproducible analytics, GBIF biodiversity data processing, GHG accounting, carbon market analysis, and geospatial modelling. Member of the Environment Institute of Kenya.
Enterprise Data Science
Production-grade R/Shiny applications on the Rhino framework, data engineering pipelines, custom R packages, and API development. Enterprise quality with 95%+ test coverage.
Quantitative Finance
Our flagship product, Kwiz Quants, delivers statistically validated, automated forex strategies with institutional-grade validation. 20+ strategies across 8 currency pairs.
Flagship Product
Kwiz Quants: 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. Each passes institutional-grade validation before deployment.
Rigorous Validation
Every strategy passes a multi-layer pipeline: R cross-validated backtests (combinatorial purged CV, Deflated Sharpe Ratio), MT5 online backtests, and demo live trading.
Automated Execution
Strategies execute on your MT5 account via our MetaSocket infrastructure. Real-time monitoring, atomic writes, and hot standby replicas ensure reliable operation.
Where We Work
Industry Applications
We apply data science across sectors where rigorous analytics drives real-world impact.
Environmental & Sustainability
Environmental impact assessments, sustainability metrics, biodiversity monitoring, GHG accounting, carbon credit analytics, and regulatory compliance.
Public Sector & Governance
Open data platforms, performance monitoring systems, policy analysis, transparency tools, and data-driven public service delivery.
Research & Academia
Statistical consulting, reproducible research workflows, data management systems, and publication-ready analysis pipelines.
Business & Finance
Quantitative trading infrastructure, risk modelling, predictive analytics, customer analytics, and process optimisation.
Why Kwiz
Scientific rigour. Production-grade engineering. Deep domain expertise across environmental science and finance.
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. Every deliverable is built to last.
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. Committed to data-driven solutions for climate and biodiversity challenges.
Ready to Get Started?
Whether you need environmental analytics, enterprise data science, or systematic trading infrastructure — we’d love to hear from you.