An AI Human Resources CoPilot startup launches off the back of Qld AI Hub program

An AI Human Resources CoPilot startup launches off the back of Qld AI Hub program

An artificial intelligence (AI) Human Resources CoPilot startup founded by  workforce advisory expert launches off the back of the Queensland AI Hub Launch AI pre accelerator program. 

Advancer.ai, founded by HR leader and innovator Ceri Jury, is using AI to tackle HR advice.

She conceived the idea for the startup after realising that most businesses are struggling to quickly answer HR questions or trying to internally solve difficult people matters via outdated advice, processes and documents.

The resulting AI platform is trained on the Fair Work Act (2009) and her 25 years of HR experience, documents and information, with the platform already being used by half a dozen Australian SMEs.

Advancer.ai is additionally tackling a shift in the HR industry where businesses are looking to drive down their HR advisory and platform costs with a move to AI and human advisors on fixed fee monthly rates being the answer.

Jury said clients are sick of waiting for HR advisors to engage and then having to pay huge hourly rates for general HR advice, while also looking to improve their margins, with artificial intelligence for instant HR advice and feedback the solution.

She adds that her journey from HR professional to tech innovator exemplifies the power of patient leadership in fostering innovation, especially when using AI.

“I’ve had the AI CoPilot idea for 5 years and we have been waiting for the right technology to arrive. Leadership in technology and HR is about bringing varied operational and technology perspectives and redefining how HR advisory services are priced and delivered,” she said.

Her co-director husband, general partner of VC firm Sprint Ventures, Llew Jury, said using AI for productivity gains is now ubiquitous in most fast growing organisations and HR is one of the last sectors to truly embrace it.

In less than two years he believes that HR advice and managing teams will be predominantly AI-generated with human advisors assisting on the more difficult and sensitive people and workforce matters.”

“The businesses that stay at the forefront of how AI and HR advice work together will win, as people are the most important asset in any organisation” he said.

Ceri said “Advancer.ai is supporting and helping HR advisors to win more work, earn additional income and deliver faster HR advice to their clients.”

“We have opened our initial capital raise to drive accelerated venture backable growth off the back of our recent launch. Our fundraising will be a significant milestone for female-led AI start-ups in the HR industry who are still underfunded,” she said.

Advancer.ai has recently participated in the Queensland AI Hub Launch AI pre accelerator program to accelerate growth. 

Queensland AI Hub Launch AI Director Dren Xërxa said Ceri Jury brings an impressive mix of startup and HR expertise as a former Head of People and Culture for large organisations.

“Her deep links to the HR and startup sectors puts  Advancer.ai in great position to grow in both SMEs and enterprises, and build technology that businesses can use within minutes,” he said.

END.

Contact: Ceri Jury – Founder and CEO

E: ceri@advancer.ai

W: advancer.ai  

Indigenous Australian Datathon is coming this November!

Indigenous Australian Datathon is coming this November!

The Queensland AI Hub is proud to support the Indigenous Australian Datathon taking place in Cairns 3-5 November. Through the datathon, participants will work within groups to create and pitch a solution, using one of the data-sets provided to develop innovative community-centric Artificial Intelligence and Big Data solutions.

Together with Traditional Owners knowledge and practices, Indigenous communities and Traditional Owners, technologists, data professionals, entrepreneurs and students will solve real community problems and reshape future opportunities for Indigenous Communnities.

Following on from last years datathon success of 53 participants, inclusive of 14 organisations, the datathon is working to share and educate participants and partners on traditional and digital technologies. The datathon is a great opporutnity to understand traditional techniques, culture and stories shared by our traditional owner and First Nations participants. In return, technical experts will be able to share their own knowledge on digital applications and innovation to collaborate on ways the teams can translate this knowledge back into the community.

The IAD aims to develop AI literacy and adoption within the Indigenous, regional and rural communities. Join the datathon to build technology-driven solutions for Indigenous community challenges in Australia.

Find out more about the IAD here.

Want to attend the datathon? Make sure to get your registration in here.

Keen to attend some events? Find out what the Queensland AI Hub is up to here.

The Queensland tech company leading the way in Drone Autonomy and LiDAR Mapping

The Queensland tech company leading the way in Drone Autonomy and LiDAR Mapping

Drone Autonomy, LiDAR Mapping and Data Analytics

Brisbane-based company Emesent was founded in October 2018, and has since become a trailblazer in the underground mining industry. With 154 employees, the company offers a range of innovative products that utilise artificial intelligence and machine learning (AIML) to help navigate unmanned systems, using simultaneous localization and mapping (SLAM) and identifying specific shapes for automation. Emesent’s unique offering in the industry is a combination of 3D scanning with autonomy. This allows for more accurate and precise data collection, particularly in hazardous and challenging environments. Emesent’s products and services have already impacted the underground mining industry, with over 400 systems in use globally, revolutionizing workflows across a number of countries. Global Head of Defence & Security, Dean Dickson says the company is combining advanced robotics, machine learning, and AI to build autonomous systems that will radically improve operational safety and efficiency. 
 
“The future development of a fully automated ecosystem delivering data analytics to a single operator via a 4D visualisation platform will be instrumental in increasing efficiencies and ensuring people are removed from hazardous environments”. 
 
Emesent’s focus on AIML will play a crucial role in the future of automation. The technology is expected to deliver more insightful data, providing greater value to customers. The company’s growth from seven employees in late 2018 to 154 in 2022, with the release of five new product offerings in 2022, is a testament to the potential of the technology. 
 
Emesent’s success lies in its ability to leverage AIML and its unique combination of 3D scanning and autonomy to develop cutting-edge products and services. The company’s focus on automation will undoubtedly have a significant impact on the industry, as more businesses recognize the benefits of utilizing AIML for their operations. Emesent is leading the way in this space, and it will be interesting to see how the company continues to innovate in the coming years. 
 
To find out more about Emesent please click here

To see our other case studies please click here

Datarwe

Datarwe

Changing the Medical Landscape with AI 

Launched in late 2020, Datarwe connects hospitals, researchers, clinicians, and developers with curated enriched data through their Clinical Data Nexus (CDN). 

Imagine a comprehensive data library of cleansed, labelled, and validated real-world clinical data. Data you can sort through and make sense of using artificial intelligence and machine learning (AIML). Whether you’re working on an innovation or researching how to best launch a new product into the wider community, this data can assist you in making informed choices on a whole other level.  

The above is exactly what Datarwe provides you with through their CDN.  

While using AIML in medicine and science is nothing new, Datarwe is the first company in the world to host de-identified patient data from Queensland Health, totalising more than 13M+ episode hours with the inclusion of international available data sets.  

The CDN is furthermore the first multimodal data platform designed to capture, process and generate actionable insights from medical data to reduce the translation gap between clinical research implementation and healthcare outcomes.  

The team is united by the challenge of revolutionising medicine through enhanced real world clinical data access. They are working together with the healthcare industry to increase the adoption of medical AI innovation to the patient bedside and beyond. 

CEO Steve Woodyatt says, “We engage with clinicians, healthcare system operators and executives, researchers, AI/ML developers and the med-tech and pharma community. By working together in the CDN collaborative environment, our partners achieve far greater technology and performance outcomes more quickly and cost-effectively than would be possible if undertaking those same activities in isolation.”  

CTO Kelvin Ross adds, “The CDN enables clinicians and medical researchers to more rapidly collaborate in the development of next generation AI clinical diagnostic tools and technologies.” 

What fuels the team isn’t just a desire to provide a solution that helps the healthcare industry cut costs and improve efficiency. The real inspiration is patient care according to Woodyatt, “By combining de-identified patient data with advanced analytics, the CDN is giving [users] the capability to make evidence-based changes in their healthcare practices, driving better outcomes at the individual patient level. Overall, the CDN is working to achieve personalised medicine.” 

Woodyatt, when asked about the future of AIML said, “The future is already here.” However, he also mentioned that, “The future of healthcare is in AI and ML tools to unlock novel insights from complex patient data and create advanced accurate clinical decision support.“  

It certainly seems that Datarwe is going to be part of that future. Having launched as recently as 2020, the company already has 24 employees spread out across Australia and WA. 

You can find out more on www.datarwe.com

VALD Performance

VALD Performance

VALD Performance – Revolutionising the Use of AIML for Training Athletes and Rehabilitating Patients After Injury

VALD uses the largest sports science data set in the world together with unique devices that measure movement and musculoskeletal functioning to offer unparalleled insight into human movement, performance, injury risk, and rehabilitation. 

Newstead-based company VALD was established in 2016 and now has 180 employees worldwide—going from only 50 in Australia in 2020.  

VALD’s innovative human measurement technologies are used by over 1,000 of the world’s most elite sporting teams (NFL, MLB, NBA, etc.), clinics, universities, hospitals and defence departments. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD continues to innovate products and grow their customer base.  

VALD has designed a number of devices that measure strength and stability, such as their NordBord hamstring testing system and the ForceFrame strength testing system (testing upper body strength and stability).  

These devices give trainers, coaches, and physiotherapists the ability to get an accurate view of the athlete. What’s more, the VALDHub allows you to gather the data in one place and visualise the results instantly. You can analyse how a person or team is performing against set metrics and measure their progress, or lack thereof.  

VALD now also offers an exercise prescription app, TeleHab, that professionals can use to set exercises for athletes and patients and track whether they stick with the program, or not.  

In addition, VALD has developed the HumanTrak Movement Analysis System.  

HumanTrak uses a 3D camera together with movement sensors to create a 3D image of the athlete’s or patient’s body. It offers a real-time movement assessment that can help professionals tailor-make training and rehabilitation programs and set measurable objectives.  

With HumanTrak instant reports can be created and printed, allowing the athlete or patient to follow along in their journey and buy into the goals set out for them.  

In comparison, other companies use one or two pieces of equipment and can only measure one component of musculoskeletal health (e.g. strength).  

Artificial intelligence and machine learning (AIML), plays a big role in what VALD does. It’s thanks to AIML VALD is able to generate normative datasets for their end users and identify anomalous tests recorded by their clients. AIML is also used in computer vision to track how people move. AIML has streamlined their data science processes and allowed them to move into the world of portable motion capture using a phone—predicting an individual’s likelihood of success in rehabilitation based on minimal data. 

As they move forward, their ability to generate insights from data will continue to improve thanks to AIML. What’s more, their ability to predict health outcomes from minimal data will get better and better.  

According to Product Lead Gavin Lenton, “We are excited to provide smaller and more portable product solutions for our clients to measure musculoskeletal function. We are also excited to generate meaningful insights from our large data sets that help practitioners make decisions about how to manage their patients.” 

That VALD is having an impact in the field of sports and medicine is clear. Since VALD launched its handheld dynamometer product, DynaMo, in March 2022 sales have been booming. Currently, more than 600 units have been sold and this number continues to grow. Across all of VALD’s products, over 8 million unique tests have been recorded.  

For more information about VALD please visit www.valdperformance.com  

Brisbane Airport Corporation Expands use of Artificial Intelligence to reduce emissions

Brisbane Airport Corporation Expands use of Artificial Intelligence to reduce emissions

BrainBox AI, a pioneering leader in autonomous building technology, today announced its agreement with the Brisbane Airport Corporation Pty Limited (BAC) to expand its revolutionary artificial intelligence (AI) technology across multiple precincts of Brisbane International Airport.

This follows a successful trial of BrainBox AI’s technology in a select area of the Brisbane Airport property (BNE).

The results yielded from the pilot were significant with a 12% decrease in HVAC (heating, ventilation, and air conditioning) system energy usage, 17% reduction in building equipment run-time, and zero comfort-related customer complaints during the six-month pilot. These impressive results bolstered BAC’s confidence in BrainBox AI’s core product, enabling the AI’s installation in other areas of the airport. 

Brisbane Airport Corporation, the operator of Brisbane Airport (BNE), is committed to 2030 Sustainability Targets to address carbon, energy, water, and waste impacts.

Derek Boo, Head of Asset Optimisation of Brisbane Airport Corporation spoke about the airport’s approach to innovation.

“We are committed to achieving our sustainability targets and experimenting and adopting new technologies which can assist in reducing energy use that ultimately contributes to carbon emission reductions – this is one of the ways we’ll meet our goals. Based on our successful trial with BrainBox AI, we have identified several other opportunities to scale the program and we are looking forward to seeing the results.”

Using deep learning, cloud-based computing, and its bespoke proprietary process, BrainBox AI’s engine autonomously optimizes the building’s existing heating, ventilation, and air conditioning (HVAC) system. With the technology, buildings can benefit from a decrease in their carbon footprint, reduction in HVAC energy costs, and extension of HVAC equipment life.

This installation marks a first for BrainBox AI; its official launch into the aviation industry. It is a pattern that Sam Ramadori, CEO of BrainBox AI would like to see repeated across more of the aviation sector given the size of these facilities.  

“In a world first, Brisbane Airport Corporation is the pioneer among international airport operators in terms of using autonomous AI to reduce emissions at its facilities,”

“We know that airports are significant users of energy, and we also know that across the globe, corporate users and the public alike want to see significant reductions in emissions at these large sites. BrainBox AI is a powerful yet painless way to achieve those reductions. The approved expansion of our technology is a positive step forward in what we hope will be a deep and lasting partnership between us and the sustainability-minded team at Brisbane Airport Corporation.”

For the Brisbane Airport Corporation, the decision to deploy BrainBox AI’s tech in the airport service centre fully aligned with its sustainable development strategy. Furthering its position as industry leaders in the sector; making impactful strides in the fight against climate change.

Since its launch in May 2019, BrainBox AI now manages over 100 million square feet of commercial real estate across 21 countries. This initial step into the aviation space for BrainBox AI marks yet another milestone in the expansion of the company’s footprint into various sectors. 

To learn more, visit BrainboxAI or view original post.

Image source: Brisbane Airport Corporation