Kwiz Research

Rigorous Data Science.
Real-World Impact.

Kwiz Research delivers production-grade analytics across environmental science, climate, biodiversity, and enterprise applications. We combine scientific rigour with software engineering discipline to turn complex data into evidence and decisions.

# Kwiz Research — Multi-Domain Analytics
library(sf) # Geospatial
library(terra) # Environmental rasters
library(rhino) # Enterprise Shiny

# Environmental: NEMA-grade EIA
species <- clean_gbif_data(“Kenya”)
report <- render_eia_baseline(species)

# Enterprise: production data pipelines
pipeline <- deploy_etl(
  sources = c(“postgres”, “api”),
  monitoring = TRUE
)

Where We Work

Two Pillars of Kwiz Research

Environmental & climate analytics, plus production-grade enterprise data systems — unified by reproducibility, transparency, and engineering rigour.

Environmental & Climate Analytics

EIA/ESIA reproducible workflows, GBIF biodiversity processing, GHG accounting, carbon market analytics, geospatial modelling, and Kenya NDC tracking. Member of the Environment Institute of Kenya.

Enterprise Data Science

Production R/Shiny on the Rhino framework, data engineering pipelines, custom R packages, and Plumber APIs. Enterprise quality with 95%+ test coverage.

Engineering Foundations

The technology that powers everything: R ecosystem, geospatial stack, CI/CD discipline, containerised deployments, and rigorous testing standards.

From the Research Blog

Latest Insights

Thought leadership across environmental data science, climate analytics, and enterprise R engineering.

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Have a Data Science Challenge?

Whether it’s a NEMA-grade EIA, a biodiversity inventory, an enterprise R/Shiny system, or a production data pipeline — we’d love to hear from you.

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