What a year it has been! Continuing great partnerships with existing customers, bringing new ones on board, expanding into a new market... plus new looks for both our nexgineer platform, and the Sigml brand. Phew! As we begin to wrap things up and head into a relaxing break we wanted to say thank you to all our customers, partners, and community for a fantastic 2024 - we look forward to continuing our journey with you in 2025. 🎉🎉 However you celebrate, the Sigml team wish you a happy, safe holidays! #happyholidays #seasonsgreetings #merrychristmas #HappyNewYear #HolidayCheer
SIG Machine Learning
Software Development
Discover the AI Advantage for Engineering Teams | Nexgineer™ Platform
About us
At SIG Machine Learning (Sigml), we help engineering teams in fast-paced environments use AI to identify opportunities, prevent issues, and make smarter, faster decisions. 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 AI accessible within engineering teams, supporting decision-makers with the insights they need, when they need them. Nexgineer™ empowers teams with advanced tools for data analysis, simulation, optimisation, and decision-making. It 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. At Sigml, we work with you to build AI models into engineering solutions and deploy them as tools your team can rely on every day. From aligning AI with your goals to building skills and piloting solutions, we ensure AI adoption is seamless, practical, and impactful—empowering your team to thrive.
- Website
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https://sigmachinelearning.com/
External link for SIG Machine Learning
- Industry
- Software Development
- Company size
- 2-10 employees
- Headquarters
- Brisbane
- Type
- Privately Held
- Founded
- 2019
- Specialties
- Artificial Intelligence, Machine Learning, Advanced Analytics, Optimisation, Predictive Maintenance, Control Systems, Autonomous Operations, Decision Intelligence, Technology, Motorsports, Mining, Oil and Gas, and Energy
Products
![Click here to view Nexgineer™]()
Nexgineer™
Machine Learning Software
Nexgineer™ is a software platform to help engineering teams leverage AI in their decision-making.
Locations
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Primary
Get directions
Brisbane, AU
Employees at SIG Machine Learning
Updates
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A paw-fect day at the office... Jackson and Teddy, hard at work 🐶 (Teddy hoping for a project update on tweaking the ML algorithms to achieve autonomous treat delivery) #dogsofsigml #itsadogslife
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We walk the talk when it comes to supporting our people. 🇱🇰 A beautiful sunset from Sri Lanka, sent from our rockstar Software Engineer, Kalani, as she enjoys some time working 'extra' remotely, having not been home from Australia in some years. 🕖 Timezones are not a problem when you have a great team. #remotework #oneteam #TeamSIGML
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⏱ In fast-paced, complex environments like motorsport and industrial operations, making the right decisions goes beyond skill - it requires the best tools and processes to effectively navigate vast data and intricate trade-offs. Read more to discover how optimising performance with machine learning has created a new era of decision making. https://lnkd.in/gfx8M_M4 #machinelearning #DataDriven #industrialengineering #advancedanalytics #EngineeringExcellence
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Training AI systems starts with selecting the right data sets. Here’s a look at a subset of tracks we considered to support model training for the Abu Dhabi Grand Prix this weekend. With these data sets, features can be derived, models trained, and deployed into AI systems to optimise performance and support decision-making.
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Formula One heads to Abu Dhabi this weekend for the final race of the 2024 season. Last year, the two-stop strategy dominated, with the medium-hard-hard combination proving a favourite for many top drivers. In the video below, we dive into the 'Gap to Leader' times for some of the standout drivers in 2023. Here’s a question for you: Notice how Leclerc’s gap to the leader increases toward the end of the race. Do you remember what unfolded to close out last season? 👀 #FormulaOne #F1 #AbuDhabiGP #Motorsport #RaceWeekend #PerformanceOptimisation
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Machine learning empowers 🏎️ motorsports teams to simplify complexity, adapt in real time, and make faster, more informed decisions. With the right tools, teams can focus on what truly matters - winning 🏁 . Want to know how and why? Read the top 5️⃣ ways machine learning powers motorsports here: https://lnkd.in/gvM8r5eC #artificialintelligence #machinelearning #formulaone #formula1racing #motorsports #motogp #formula1 #IndyCar #advancedanalytics
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Modern motorsports teams are inundated with vast amounts of data from on-track telemetry 📈, weather conditions ☀️🌧, tire performance 🛞 vehicle setups 🏎, and simulations 💻. But, without effective tools to process and leverage this information, teams risk making suboptimal decisions that can compromise performance, efficiency, and safety. With NEXGINEER™'s machine learning-powered modelling and simulation solutions, motorsports teams are able to: * Integrate Data Streams: Centralise telemetry, weather, and simulation inputs into a single, cohesive workspace. * Leverage Machine Learning: Use advanced modelling to predict race scenarios and identify optimal strategies. * Enhance Decision-Making: Provide real-time insights to optimise pit stops, tire selection, energy management, and race strategy. * Simulate Scenarios: Run machine learning-powered simulations to test and refine strategies for varying race conditions. Find out more on how your team can fully leverage your race data for the competitive edge - contact the SigML team today. #formulaone #formula1racing #motorsports #formula1 #IndyCar #DataDriven #AISolutions #machinelearning #artificialintelligence
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💻 At SIG Machine Learning, we’ve worked with many organisations navigating the decision of whether to build software in-house, or purchase an already existing solution. And for many, there's pros and cons to both options. In our latest post we take a step back and provide some insight as to how we recommend approaching this task in order to make the best choice for achieving the organisational objectives. https://lnkd.in/gf-gg6AA #engineeringtech #engineering #DataDriven #softwareengineering #SaaS #digitaltransformation
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