The sensor is only part of the job
What matters is the decision it supports — how many animals use a site, where they move, and whether that use is changing.
We combine zoology, field engineering, machine learning, and reporting so remote monitoring data can be used in real project decisions.
What matters is the decision it supports — how many animals use a site, where they move, and whether that use is changing.
Most projects start with an approval condition, monitoring program, or impact assessment. We design the monitoring around that requirement.
Manual monitoring does not scale, and fragile one-off systems do not survive hard sites. We build practical systems for real field conditions.
The two co-founders. Kyle leads the science; Rick leads the engineering. Their work is grounded in published, peer-reviewed research.
Co-founder · Zoologist
Bat ecologist with 20+ years of work on Australian threatened bat species. Contributing expert and reviewer of the Commonwealth's Survey Guidelines for Australia's Threatened Bats; former president of the Australasian Bat Society. Leads threatened-species science across species identification, survey design, and reporting for regulators.
Co-founder · Engineer
Engineering data scientist with deep mining-IoT and large-scale industrial deployment experience. Designs the sensor systems and ML pipelines that turn raw field signals into ecological results. Co-founded a mining-technology company before Supersensory.
Day-to-day contributors across engineering, software, hardware, and field deployment.
Software · Data Platform
Software and data-platform engineer. Builds dashboards, data pipelines, and client-facing tools that turn captured signals into deliverables.
Hardware · Field Deployment
Hardware and field-deployment engineer. Designs and assembles the enclosures, power systems, and installations that help edge nodes survive Pilbara heat and cyclones.
Specialist collaborators we work with on specific projects — quantitative ecology, field operations, and domain expertise.
Quantitative Ecologist · Bayesian Specialist
Harrisburg University of Science and Technology
Quantitative ecologist specialising in Bayesian statistical modelling for wildlife ecology. Develops and teaches university courses on Bayesian Modelling and Inference (Harrisburg University, ANLY 505), with research expertise in bat and small-mammal community ecology, occupancy modelling, and quantitative population analysis.
Field Ecologist
Ecologist and PhD candidate at The University of Adelaide; works alongside Dr Kyle Armstrong on Supersensory's threatened-species fieldwork. Brings current Adelaide research links into the company's scientific bench.
Inaugural Innovator of the Month, 2026 — CORE Innovation Hub called Supersensory “one of the most sophisticated environmental monitoring platforms in the country.”
The award recognises the combination behind Supersensory — a zoologist and an engineer building monitoring systems that hold up in real Australian field conditions.
Since February 2023, we have installed more than 23 automated monitoring systems for mining, wind energy, and government clients.