HoneySense is a cloud-based, AI, Software as a Service platform, for automating honey testing
HoneySense takes the hassle out of honey testing, by using Artificial Intelligence to automatically identify, count and classify the pollen found in honey samples.
Auto count and classify pollen
Ms per test
SaaS solution = no expensive hardware
Reduced staff training
Dr Tanya Jayne
CEO & Co-founder
Tanya has a PhD in genetics from the University of Adelaide, where she researched the genetic causes of Alzheimer's disease. She is an excellent communicator with addtional experience in sales and marketing.
Dr Adrian Johnston
CTO & Co-founder
Adrian has a PhD in Artificial Intelligence and Machine Learning from the University of Adelaide's Australian Institute for Machine Learning and has built AI products for both start-ups and industry.
The Future of visual-based honey testing
HoneySense uses a subfield of AI called Computer Vision to automatically count and classify pollen.
Our proprietary algorithm allows us to train highly accurate AI models using only 30 images for each pollen category.
Our cloud-based solution offers 3 key benefits:
1. BYO hardware, 2. constantly updated AI models, and, 3. scale globally, to any lab, without the need for a pollen scientist.
Get in touch
Want to know more?
For questions about how our cloud-based AI system might be used to automate visual testing processes for your business, contact us via this form or email us @:
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