AI implementation & collaborative development
Bring AI into real workflows. We work with research and business teams to connect models, data and existing systems into usable tools and software.
RESEARCH × DESIGN × ENGINEERING
A design & engineering studio for research.
RIBLAB provides scientific visualization, AI implementation and software development. We work with research and business teams to turn domain knowledge and models into clear communication, usable tools and systems.
Let’s discuss your projectStart with the question.
Understand the model.

Connect the capability.
Make interaction clear.

Build for real use.
Validate and hand over.

WHAT WE DO
Scientific visualization and AI software engineering are our two core areas. We work with research and business teams to define problems and deliver clear communication and usable software.
Bring AI into real workflows. We work with research and business teams to connect models, data and existing systems into usable tools and software.
Connect tools, data and human review around a recurring research task, with traceable execution.
SCIENTIFIC ILLUSTRATION
Paper figures, graphical abstracts, mechanism diagrams and cover artwork

SCIENCE, CLEARLY EXPRESSED
From illustrations and data visualization to presentations and conference identity. Make research clear.
Explore research supportLEARN. TRY. UNDERSTAND.
Task-based workshops for research groups, departments and continuing education partners.
Discuss a workshopSELECTED PROJECTS

Medical imaging · 3D visualization
Connect MRI, segmentation surfaces, source slices and user annotations so a point in 3D can be traced back to its image coordinates.

Video workflows · Mobile interaction
A mobile interaction workflow brings video segments, patient assignment, source text and review actions together.

Research platforms · Evidence organization
Connect DOI lookup, metadata confirmation and discussion with interfaces and services built for scholarly expression and clear identity boundaries.
HOW WE WORK
Clear scope, staged feedback and inspectable results make collaboration concrete.
Agree the intended users, one concrete scenario and expected results.
Review materials and requirements. Set a focused project and acceptance criteria.
Discuss a working prototype and iterate through staged feedback.
Check outcomes, document operation and agree ongoing responsibilities.
NOTES FROM THE STUDIO
A practical starting checklist, from runnable code to acceptance examples.
Read the guideDecide whether dynamic decisions are needed before choosing an agent, workflow or script.
Read the guideStructure a workshop around outcomes, practice material and review.
Read the guideA FEW THINGS TO KNOW
Yes. We review your requirements, materials, models and tools, then agree feasibility, scope, deliverables and acceptance criteria.
Yes. Scientific design and conference support can be scoped as a single deliverable or a set of materials.
A short background, the problem, available materials and timing are enough. Do not submit unpublished research data or files through this website.
GOOD QUESTIONS START GOOD PROJECTS
A model, a repetitive workflow, or research that deserves a clearer story. Start there.
Let’s discuss your project