Don't just take our word for it. Hear from the business leaders, engineers and decision-makers who have partnered with us to bring AI into their organisations — and see the measurable outcomes they achieved.
Genuine feedback from organisations across multiple industries and project types.
Working with ValueFirst AI completely changed how we approach inventory management. Their predictive analytics platform reduced our overstock by 34 percent in the first quarter alone. The team was responsive, transparent and genuinely invested in our success. I cannot recommend them highly enough.
We needed a computer-vision system that could detect micro-fractures in ore samples at speed. ValueFirst AI delivered a solution that outperformed our expectations — 98.7 percent accuracy on the test set and processing times under 200 milliseconds per image. Their engineering rigour and domain curiosity set them apart from every other vendor we evaluated.
Our customer-service chatbot handles over 2,000 conversations a day and resolves 78 percent of them without human intervention. The natural-language understanding is remarkably good — customers regularly tell us they thought they were speaking to a person. The only reason I'm not giving five stars is that I wish we had started this project sooner.
As a small aged-care provider, we were sceptical that AI could help us. ValueFirst AI built a patient-risk scoring model that flags residents at elevated risk of falls 48 hours before an incident is likely. In six months our fall rate dropped by 27 percent. The team treated our staff with respect, explained everything in plain language and never made us feel like a small account.
We engaged ValueFirst AI to automate our invoice processing pipeline. What used to take three full-time staff members an entire week now completes in under four hours with 99.2 percent accuracy. The return on investment was clear within the first two months, and the team provided excellent documentation so our own developers could maintain the system going forward.
ValueFirst AI helped us build a recommendation engine that increased our average order value by 19 percent. They took the time to understand our catalogue, our customers and our brand voice before writing a single line of code. The collaborative, no-ego approach made the whole experience enjoyable.
A deeper look at three projects that demonstrate the breadth and depth of our AI software capabilities.
Redstone Mining Group operates a fleet of 120 haul trucks across three sites in the Pilbara. Unplanned breakdowns were costing the company an estimated $4.2 million per year in lost productivity and emergency repairs. We deployed IoT sensors on critical components and built a machine-learning model that predicts failures 72 hours in advance with 91 percent precision.
The system integrates with Redstone's SAP maintenance module, automatically generating work orders when a failure probability exceeds the configured threshold. In the first year of operation, unplanned downtime fell by 43 percent, saving the company over $1.8 million.
Wattle & Bloom is an Australian lifestyle brand selling homewares and fashion accessories through an online store and 14 physical locations. Seasonal demand swings and a rapidly expanding product catalogue made manual forecasting unreliable, leading to frequent stockouts on popular items and excess inventory on slow movers.
We built a time-series forecasting engine that combines historical sales data, promotional calendars, weather patterns and social-media trend signals to predict demand at the SKU level with 89 percent accuracy over a four-week horizon. The system updates forecasts daily and feeds directly into their inventory management platform.
Falls are the leading cause of injury among aged-care residents in Australia. Banksia Gardens wanted a proactive approach rather than a reactive one. We developed a risk-scoring model that analyses a combination of mobility assessments, medication records, sleep patterns and environmental factors to flag residents at elevated risk up to 48 hours before an incident is likely.
Clinical staff receive daily alerts via a simple dashboard and can intervene with targeted measures — adjusting medication timing, increasing supervision or modifying the physical environment. In the first six months, the facility recorded a 27 percent reduction in falls and a 41 percent reduction in fall-related injuries requiring hospital transfer.
Our commitment to quality, security and ethical AI has earned the confidence of organisations large and small.