Solutions

Data Science & Software Engineering
Across Domains

Production-grade systems across environmental analytics, enterprise applications, and quantitative finance. Every engagement is built to production standards: modular, tested, documented, and maintainable.

Environmental & Climate Analytics

Environmental Impact Assessment analytics, GBIF biodiversity data processing, GHG accounting, carbon market analysis, and geospatial modelling. As a member of the Environment Institute of Kenya (EIK), we bring deep domain expertise alongside engineering capability.

EIA/ESIA Analytics — Reproducible environmental impact assessment workflows, regulatory compliance analysis, and data-driven sustainability reporting.

Carbon Markets & Climate Risk — Statistical analysis of carbon credit pricing, climate risk assessment, GHG inventory computation, and NDC tracking pipelines.

Biodiversity & Conservation — GBIF occurrence data quality assessment, species distribution modelling, and ecological monitoring systems.

Our open-source kenyaEIAFetcher R package demonstrates our commitment to reproducible environmental data science.

EIA/ESIA GBIF GHG Accounting Carbon Markets Climate Risk Geospatial sf terra
# Environmental Analytics Pipeline
library(kenyaEIAFetcher)
library(sf)
library(terra)

# Fetch EIA project data
projects <- fetch_eia_projects(
  county = “Nairobi”,
  sector = “Energy”,
  year_range = c(2020, 2025)
)

# GBIF biodiversity assessment
species <- clean_gbif_data(
  country = “KE”,
  quality_checks = TRUE
)

# Spatial analysis
plot_project_density(
  projects,
  boundary = kenya_counties
)

Enterprise R/Shiny Applications

Production-grade interactive applications built on Appsilon’s Rhino framework. We build Shiny applications the way software should be built: modular architecture with box modules, 95%+ test coverage with testthat and shinytest2, automated CI/CD deployment pipelines, and comprehensive documentation.

Our applications serve organisations needing dashboards, reporting tools, analytical platforms, and decision-support systems. Every application is designed for long-term maintainability — not just a working prototype.

Rhino Shiny box testthat shinytest2 CI/CD
# Enterprise Rhino Application Structure
# ├── app/
# │ ├── logic/ # Business logic modules
# │ ├── view/ # UI components
# │ └── main.R # App entry point
# ├── tests/
# │ ├── testthat/ # Unit tests
# │ └── cypress/ # E2E tests
# └── rhino.yml # Configuration

# Example modular component
box::use(
  shiny[moduleServer, NS, …],
  app/logic/data_processing[
    clean_input, validate_schema
  ]
)

Data Engineering & Pipelines

Robust ETL/ELT pipelines, Plumber API development, database design, and automated data validation. We engineer data infrastructure that scales reliably across environmental monitoring, enterprise reporting, and financial data systems.

Our pipeline work spans API integrations, automated ingestion workflows, data quality frameworks, and PostgreSQL database architecture. Every pipeline includes monitoring, logging, and alerting.

Plumber PostgreSQL Docker ETL/ELT REST APIs
# Plumber API with validation
#* @post /api/v1/ingest
#* @serializer json
function(req) {
  payload <- validate_schema(
    req$body,
    schema = “data_input_v2”
  )

  db_write(
    conn, payload,
    atomic = TRUE,
    log = TRUE
  )
}

Custom R Packages

Bespoke R packages with enterprise-grade documentation (roxygen2), comprehensive testing (testthat), and CI/CD integration via GitHub Actions. Every package follows rOpenSci quality standards.

Whether you need internal tooling, domain-specific analytics libraries, or public-facing packages, we build packages designed for long-term use across teams.

devtools roxygen2 testthat pkgdown GitHub Actions

Quantitative Finance Consulting

For organisations wanting bespoke quant capabilities without building full infrastructure in-house. Strategy development, backtesting frameworks, and statistical validation — powered by the same methodologies that run our Kwiz Quants platform.

Discuss Your Project

Let’s Solve Your Data Challenges

Production-grade engineering across environmental analytics, enterprise applications, and quantitative finance. Free 30-minute consultation, no obligation.

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