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Scientific tools built around your research

Software development
for research and engineering

Custom scientific software for research groups and engineering teams. We connect computational code, data and visualization in an interface for configuring experiments, running calculations and examining results.

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Computation and visualization togetherTechnion research experienceTools for ongoing work↓

Founder experience and projects

TechnionPhilipsPlaytikaTel Aviv UniversityIsraeli Navy

Relevant experience

A research tool developed at the Technion

LiveMol combines scientific computation with interactive molecular visualization. It demonstrates connecting computation components to an interface designed for research workflows.

LiveMol interface for molecular exploration and scientific computationLIVEMOL

Visual research tool at the Technion

LiveMol: molecular computation and exploration

A system connecting calculations with interactive molecular visualization. Researchers move from data to visual structure and explore it within the same workspace.

  • Scientific computation Connected to visualization
  • Interactive exploration In one environment
Read the full case study ←

Service scope

Software for the research workflow

Planning starts with existing code and data, the research protocol and results to examine. We also define model limitations and validation criteria with the scientific team.

01 / INSIGHT

Scientific visualization

Display structures and results in 3D with selection, comparison and interactive exploration. The presentation follows the data and research question.

02 / EXPERIMENT

Interfaces for running calculations

An interface for setting parameters, executing computational code and displaying output. We assess integration of existing code, including Python, according to dependencies and performance requirements.

03 / VISUALIZATION

Exploration and demonstration tools

Adapt the interface for researchers, partners or teaching. Different work modes can be defined without changing the model's scientific assumptions.

Yulia Pavlov, founder and lead engineer at Red Crown Interactive
Yulia PavlovFounder and lead engineerLinkedIn ↗

Professional leadership

Management and development
Led by Yulia Pavlov

More than a decade of software and real-time 3D development in industry and research.

Yulia leads planning, design and development. Specialists join as the project requires, with one clear point of contact for you.

B.Sc Software engineering, TechnionMBA Tel Aviv University

Project stages

How we work

01

Map code and data

Understand the question, data and existing tools.

Deliverable: scientific and technical requirements
02

Test the interface connection

Connect one calculation or dataset to an initial interface.

Deliverable: a proof of concept
03

Develop the workspace

Build computation, visualization and workflow.

Deliverable: a research tool
04

Validate against reference results

Compare reference results and document usage.

Deliverable: handover and agreed validation

Before we start

Frequently asked questions

Can existing research code connect to a new interface?

We assess the language, dependencies, data formats and performance requirements, then define an appropriate connection between computation and interface.

How do you stay faithful to the scientific model?

We agree on reference results, test cases and known limitations with the research team. Computation and visualization are checked against those criteria.

Can the tool also support demonstrations and teaching?

Different exploration and demonstration modes can be planned for the audience and needs. Scope, level of detail and permissions are defined during planning.

What is required from the research team during development?

Code or a model documented as fully as possible, sample data and reference results for comparison. Researchers define the scientific meaning and validate results; development focuses on implementation, interface and connections between components.

The next step

Let's discuss
your project

Tell us about the model, data and where existing tools limit your work.

  • Map existing computation and information
  • Define an interface and workspace direction
  • A first experiment to test feasibility

We usually reply by email within one business day.

Your details are used only to contact you about the project.