What We Do

Using modern programming languages alongside industry-standard web development and machine-learning frameworks, we build software that ranges from simple automation scripts to fully featured database applications, including LIMS and other laboratory-centric systems.

Whether you need streamlined processes, improved data management, predictive models, or deeper insight into your data, we can design tools that fit your processes from lightweight utilities to interactive dashboards and sophisticated analytical platforms. Our goal is always the same: practical, reliable software that helps your laboratory work smarter.

Automate

General Scripting

Data processing

Workflow tools

Report generation

Secure

Database Applications

Laboratory information management systems (LIMS)

Resource management systems

General data management

Translate

Research Operationalisation

Building prototypes into maintainable tools

Supporting academics who want their work to make real impact

Visualise

Dashboards & Data Visualisation

Real-time activity dashboards

KPI and performance monitoring

Backlog visibility

Quality metrics

Forecast

Data Science & Machine Learning

Predictive modelling

Exploratory data analysis and statistical support

Laboratories & Scientific Agencies

Organisations needing purpose-built tools including but not limited to forensic, clinical, environmental, food, workplace testing laboratories.

Academia

Research groups developing new methods that need translation into software.

Small Teams Without Internal Developers

Groups that need software but lack the IT/engineering capacity to build or maintain it.

A laboratory needing a light-weight LIMS

A laboratory wanting to move away from spreadsheets for certified reference material (CRM) management

A research group wanting to turn an algorithm into a validated application

A laboratory wanting a accessible dashboard with key operational metrics or result summaries

An environmental testing laboratory needing automated instrument data ingestion

A research laboratory has data and an idea for a machine learning project, but not the skillset to train a model

Technologies We Use

All of our tools are developed using free and open-source programming languages that are both well-maintained and industry-standard. These include:

  • Languages: Python, SQL, JavaScript, HTML/CSS
  • Web Frameworks: Flask/FastAPI
  • Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn
  • Relational Database Management Systems: PostgreSQL, MySQL
  • Data visualisation and dashboarding: Matplotlib, seaborn, folium, plotly, Dash
  • Graphical user interface development: PyQT5, tkinter
  • Version control systems: Git, GitHub