Let's collaborate!
From workshop to workflow: agile, co-developed visual analytics. That's where your use case meets our visualization expertise.
Science meets agile engineering
At datavisyn, we blend scientific methodology with agile software engineering to build tailored, interactive visual analytics tools for the pharmaceutical industry. By bringing together visualization experts, bioinformaticians, and full-stack engineers, we bridge the gap between complex data and actionable insights.
Our collaborative process begins with an intensive hackathon or workshop to rapidly prototype solutions on our robust platform. We deliver production-ready, enterprise-grade software built on a flexible, AI agent-ready plug-and-play architecture — giving your internal engineering teams the power to independently extend and scale the solutions as your data and needs evolve.
Pre-project phase
During the pre-project phase we get to know each other. We pitch each other's ideas, portfolio, and high-level demands to find out whether it's a match.
Inception workshop
An established agile format for requirements engineering. We establish a common understanding of the application's vision, features, capabilities, and limitations.
Design prototyping
A clickable design prototype reflecting the real UI and visualization design, letting your future users click through the main workflow of the application.
Ramp-up hackathon
If it is necessary and target-aimed we can start development with a joint ramp-up hackathon, either to on-board your developers to our tech stack, or to solve tricky problems together.
Short track to MVP
The actual software development towards a minimum viable product (MVP) is done in an agile manner, following the Scrum process model.
Hypercare phase
After a successful release and go-live of the MVP, we preserve a period of four weeks of elevated support. This allows us to quickly react to user feedback.
Continuous development & maintenance
After a successful go-live and hypercare phase we keep on adding new functionality and features to the application in small iterative sprints.
Let's start your project
Tell us about your use case and we'll figure out the right way to collaborate.