SIG Machine Learning
Company

SIG Machine Learning

Software Development Brisbane, Queensland, Au 4 employees
Employees
4
Contacts
1
Emails
1

SIG Machine Learning Overview

Headquarters
Brisbane, Queensland, Au
Industry
Software Development
Employees
4
Founded
2019
NAICS
Software Publishers

About SIG Machine Learning

Modern operations generate vast amounts of data from sensors, systems, and simulations, offering immense potential for improvement. But with so much data, the challenge becomes clear: how can decision-makers analyse it all in real-time and translate it into actionable decisions? Without the right tools, organisations risk missing critical insights, slowing progress, and limiting outcomes. Engineering teams often struggle to adapt quickly, manage competing priorities, and balance performance with cost and sustainability. That’s where we can help. We created the Nexgineer™ platform specifically to make advanced optimisation and intelligent control systems accessible within engineering and operational teams, supporting decision-makers with the insights they need, when they need them. Nexgineer™ transforms overwhelming data into recommended actions, enabling teams to work more efficiently, solve problems proactively, and deliver measurable results—boosting performance, saving time, cutting costs, and reducing emissions. Most software platforms give you tools and leave you to figure it out. We do the opposite. As engineers ourselves, we help you to define the problem, build the right models, validate it, scale it, and unlock value from it with intuitive tools. We handle the complexity - so you can focus on the engineering.

SIG Machine Learning Contact Details

People in AeroLeads
3
With contact data
1
Email contacts
1
33.3% coverage

SIG Machine Learning Org Chart

Sample employees and titles
Name Title Contact
Kalani Samarathunga Full-stack Software Engineer - B.sc. Eng(hons)
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Jackson Searle Analytics Lead - B.eng Petroleum (First Class Honours)
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Sian Hughes Experienced B2B Marketing & Communications Specialist.
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Employees by Management Level

Individual contributor 2 profiles
Senior / Lead 1 profile

SIG Machine Learning Tech Stack

Data / AI 1 profile
Engineering 1 profile

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