Build
R packages, Shiny applications, Python components, automated reports, APIs and data-driven internal business applications. We connect analytical logic to the people and systems that use its outputs.
R, Shiny & Custom Software
Custom R and Shiny development—and reliable support for the code you already depend on.
Start where you need help: build a new application, take over existing R code, or modernize a business-critical workflow. Maintenance is available independently; a rewrite is not the default.
Discuss your application or existing R codeMaintain
Takeover of code written internally or by another supplier, troubleshooting, dependency updates, defect resolution, documentation and incremental improvements. Agree access, priorities and review responsibilities before work starts.
Modernize
Refactoring, automated tests, reproducible environments, performance improvements and controlled deployment. Preserve intended behavior; investigate output differences and document agreed corrections rather than silently preserving legacy bugs.
Scoped onboarding
Inventory code and dependencies, reproduce a representative baseline, assess risks and establish a prioritized backlog. The resulting support proposal defines scope, response arrangements and change approval; it does not promise 24/7 coverage.
Examples of scoped deliverables
- New or maintained R/Shiny application, package or Python component
- Code/dependency inventory, baseline and prioritized support backlog
- Tests, documented corrections and output-comparison reports
- Deployment guidance, documentation and agreed maintenance scope
Custom software means data-driven applications and internal business software. Maintenance and improvements are scoped separately from managed hosting and continuous operations. Response times are agreed per engagement.
Before we start
Can you take over undocumented R code?
Yes, starting with a bounded assessment. We inspect dependencies, attempt a reproducible run and identify gaps before agreeing maintenance commitments.
Can you maintain another supplier’s application?
Yes, subject to authorized access, licensing, available source code and an agreed onboarding scope.
Is a rewrite necessary?
Not automatically. Targeted fixes, tests and documentation may be the better option. Migration or a rewrite requires an explicit technical and business justification.
How are support and changes agreed?
We define the supported components, responsibilities, response arrangements, review cadence and how backlog changes are estimated and approved.
Case Studies
Selected engineering projects
Anonymized project experience in Financial Services, Life Sciences and self-hosted AI automation, with concrete approaches, results and lessons learned.
Banking & Financial Services
Team-member project experience · 2022–2024
Enterprise Analytics & Data Engineering for a Major European Financial Institution
Project period: 2022–2024
Team-member experience combining R/Python analytics, data pipelines, database-backed applications and technical coordination in a regulated financial institution.
Read the case studyThe financial-institution case describes individual team members’ work in 2022–2024, including R/Python development and technical coordination.
Contact
Discuss your application or existing R code
Tell us what you need to analyse, build or maintain. We will clarify the scope and suggest an appropriate next step.