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SIG Machine Learning

SIG Machine Learning Email Formats

Software DevelopmentFlag of AUBrisbane, Queensland, Australia1-10 Employees

SIG Machine Learning Email Formats

SIG Machine Learning uses 2 email formats. The most common is {first initial} (e.g., j@sigmachinelearning.com), used 50% of the time.

FormatExamplePercentage
{first initial}
j@sigmachinelearning.com
50%
{first name}
john@sigmachinelearning.com
50%

Key Contact at SIG Machine Learning

Flag of AU

Sam Bost

Chief Executive Officer

Company overview

HeadquartersBrisbane, Queensland, Australia
Phone number+61402882612
Website
Keywords
Oil And Gas, Predictive Maintenance, Advanced Analytics, Mining, Engineering, Technology, Energy, Control Systems, Optimisation, Artificial Intelligence, AI, Machine Learning, Predictive Analytics, Motorsports, Decision Intelligence, Autonomous Operations
Founded2019
Employees1-10
Socials

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.

Employees by Management Level

Total employees: 1-10

Seniority

Employees

C-Suite

Employees by Department

SIG Machine Learning has 1 employees across 1 departments.

Departments

Number of employees

Funding Data

SIG Machine Learning has never raised funding before.

SIG Machine Learning Tech Stack

Discover the technologies and tools that power SIG Machine Learning's digital infrastructure, from frameworks to analytics platforms.

Google Workspace

Google Workspace

Email

Lodash

Lodash

JavaScript libraries

Sentry

Sentry

Issue trackers

Sirvoy

Sirvoy

Appointment scheduling

Linkedin Ads

Linkedin Ads

Advertising

Wix

Wix

Blogs

HTTP/3

HTTP/3

Miscellaneous

HSTS

HSTS

Security

Open Graph

Open Graph

Miscellaneous

Wix eCommerce

Wix eCommerce

Ecommerce

React

React

JavaScript frameworks

Google Cloud

Google Cloud

IaaS

Frequently asked questions

SIG Machine Learning is located in Brisbane, Queensland, AU.
You can reach SIG Machine Learning at +61402882612.
SIG Machine Learning was founded in 2019, making it 7 years old. The company has established itself as a significant player in its industry over this time.
SIG Machine Learning has approximately 1-10 employees. The company continues to grow its workforce to support its business operations and expansion.

4.8

40,000 users

top 50
high performer
most used
tier 1 accuracy

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