SIG Machine Learning
Decision systems, powered by machine learning.
Engineering operations generate enormous amounts of data. The challenge is not collecting it — it is knowing what it means at the moment a decision has to be made.
SIG Machine Learning builds software that derives intelligence from that data — identifying where machine learning can improve the depth and speed of analysis in high-stakes, time-critical decisions, and putting that capability directly in the hands of the practitioners who make the call.
The result is not more dashboards or more data. It is a clearer answer, arrived at faster, with the reasoning visible to the team acting on it.
Locations: Adelaide, Australia · London, United Kingdom
Trusted by
Products
Nexgineer™
Digital Twin APC for upstream oil and gas. Continuously screens every well, ranks optimisation opportunities by impact, and coordinates field-wide action — in advisory or autonomous mode.
SwitchPad™
Advanced scenario engine for race strategy teams. Evaluates race-defining scenarios, compares strategic options, and identifies when the baseline plan should hold or change.
“We believe we are a ‘world first’ in using a cloud-based AI model to optimise wells. SIG's capability in both machine learning and engineering have ensured a successful trial project where others have failed due to not understanding both.”
Case studies
Proven results across upstream operations.
How engineering teams have used Nexgineer™ to scale surveillance and optimisation across large well portfolios — told as engineering stories of challenge, approach, and outcome.
Read the case studies →Recognition & awards
Core Innovation Hub
Hot 30 Innovators
Named one of Australia's top 30 technologists and entrepreneurs driving innovation across mining, energy, resources, oil & gas, space and defence.
Origin Energy
Innovation Award Winner
Winner of the Data-Driven Learnings Prize and Innovation Award for clear, impactful recommendations on drilling optimisation and gas well performance.
SA Government
ADI Round 2 — Selected Project
Selected for the Accelerated Discovery Initiative: a greenfields Gawler target-generation project advancing exploration through advanced analytics.
ExploreSA Gawler Challenge
Future Data Award
Winner of the Future Data Award for applying machine learning to mineral exploration and resource assessment.
As seen in
Oil & Gas
See how Digital Twin APC transforms surveillance and optimisation workflows for upstream production teams.
Book a Nexgineer™ walkthrough →Motorsport
See how SwitchPad™ helps race strategy teams evaluate scenarios and identify when the baseline plan should hold or change.
Book a SwitchPad™ walkthrough →