– Computer Vision Services
Our computer vision services help organisations unlock value from visual data. By applying advanced image and video analysis, we support better security, smoother operations, and higher productivity. From object tracking to motion analysis, our solutions turn visual information into practical outcomes.
– Intelligent Computer Vision Solutions

Our object detection solutions accurately identify and locate objects within images and video streams. Using modern computer vision techniques, we process large volumes of visual data quickly and reliably.

We develop facial recognition systems that enable secure and accurate identity verification. These solutions support use cases across security, access control, marketing, and public safety.

Image segmentation divides visual data into meaningful regions. This makes it easier to analyse complex scenes, extract important details, and support advanced image-processing tasks.

Our OCR solutions extract text from images, scanned documents, and video frames. Using deep learning, we convert visual content into structured, machinereadable data.

Scene reconstruction creates detailed 3D representations of real-world environments using visual inputs. This technology supports applications such as simulations, virtual reality, and spatial analysis.

Our video analytics solutions analyse video streams to detect patterns, movements, and behaviours. This includes tracking people or objects and identifying key events in real time.
Our team is fully prepared to meet your needs and exceed your expectations.

Computer vision models precisely detect, classify, and track objects in images and videos across multiple use cases.

Our solutions scale from small image datasets to large, continuous video streams without compromising performance.

We tailor data processing, algorithms, and output formats to meet specific business requirements.

Real-time visual analysis helps identify activities and situations that enhance safety and situational awareness.




– From Visual Data to Deployment
Our engineer selection and hiring process involves identifying the necessary skills, experience, and cultural fit for the role, as well as assessing candidates’ problem-solving and collaboration abilities.
– Step 1
We gather relevant visual data and prepare it through labelling, cleaning, and augmentation to ensure quality training inputs.
– Step 2
Our engineers select suitable deep learning architectures and fine-tune parameters to match the problem and performance goals.
– Step 3
Models are trained on prepared datasets and evaluated against benchmarks to ensure accuracy and robustness.
– Step 4
The final model is integrated into production systems, where it processes new visual data and delivers consistent, reliable results.
Job Title: AI Engineer (Systems and Automation)
Location: On-site + Remote (Hybrid Australia)
About the Role
We are looking for an AI Engineer (Systems and Automation) who can build, deploy, and maintain robust AI systems while also designing automation solutions that streamline operations, product workflows, and decision-making. This role blends hands-on engineering, scalable system design, and practical automation using modern AI and MLOps practices.
Key Responsibilities:
AI Systems Engineering
AI Automation Engineering
Cross-Functional Delivery
Required Qualifications
Education
Core Technical Skills
Good to Have
What Success Looks Like
What We Offer
Equal Opportunity
We are an equal opportunity employer and value diversity in backgrounds, experiences, and perspectives.
Special Note: Agencies not applicable
Salary Range: $80K + Super