IGI develops software for geoscience professionals specialising in providing solutions to real geochemical problems.
IGI has written and maintains several software products:
p:IGI - your program for Integrated Geochemical Interpretation. Import, filter, explore and visualise data in order to form geochemical interpretations as part of an integrated analysis project.
Metis - your corporate Geochemical Data Management solution. Manage corporate geochemical data holdings in a central location accessible to all, with tools (Transform) to assist with data loading and quality control during data merging.
ig.NET - your centre for Geochemical & Basin Modelling knowledge. Extend your knowledge, jog your memory, look up key references and explore key ideas related to petroleum geochemistry and basin modelling.
File Transformation Service - you handy tool for dealing with awkward files. Transform lab chromatography reports, DISKOS file and LAS files into easy to import / use Excel files, streamlining your ingestion of data.
IGI has designed its software products to function collectively as a single workflow solution from centralised data storage to selected project scale interpretation assisted through access to relevant geochemical reference information. However, users can purchase and operate applications in isolation if desired.
Our software is designed with the user in focus. Each year we organise a User Group event open to all users in order to obtain feedback on our software, and to help us prioritise future developments across our products.
Developing software in IGI
Our software development team is based in our Birmingham office, although we work extensively from home. Our team works in an agile manner to produce outstanding software. We enjoy a flexible but thorough working practice ensuring that as the team grows we continue to see improvements in our ability to deliver, and the quality of what we deliver.
The software team is highly skilled, with expertise in diverse areas including database integration, user experience, machine learning, network optimisation, message routing, software architecture and data science.