Analysing Data to
create Business Intelligence
Trusted by some of the most important companies on the planet, Ozius delivers critical business intelligence up to 90% faster than traditional methods.
30 minutes with Ozius saved me three days in the field
The work Ozius produced gave us the confidence to apply these findings over an entire catchment that we could never visit on the ground.
QLD Gov’t Water Planning & Ecology Team 2017
How we work
- We examine and define the problem.
- We set goals, identifying what’s needed for success.
- We evaluate options and design a tailored solution.
- We analyse data and discover new insights.
- We integrate the solution with your existing systems.
Why choose Ozius for your business intelligence?
from an experienced team
Selected as one of Westpac’s top 200 businesses of tomorrow, the team at Ozius deliver cutting-edge business intelligence to companies across a wide variety of sectors.
Founder and Director – Applied Science and Solution Design Lead
Alisa Starkey is the founder and Applied Science Solutions lead at Ozius. With a background in Marine Ecology Alisa learned the benefits of utilising Earth Observation data during when completing her Honours at the University of Wollongong.
Dr Peter Scarth
Director – System Architecture and Artificial Intelligence Lead
Dr Peter Scarth is a Director and Big Data and AI lead at Ozius. Peter works across disciplines to develop rigorous data management systems and validated mathematical models that measure and map both major and more subtle changes.
Dr Stuart Phinn
Director – Earth Observation and Space Technology Lead
Dr Stuart Phinn is a Director and the Earth Observation and Space Technology lead at Ozius. Stuart is also a Professor of Geography at the University of Queensland where he teaches remote sensing and directs the Remote Sensing Research Centre.
Simulated AI enabled on-board processing fire/smoke detection
This example highlights early results of our on-board fire/smoke detection. While impressive straight out of the box, ongoing development has continued to yield improvements in accuracy and efficiency of processing. Opacity of the red square is proportional to the detection probability location.