The Queensland Government is now in caretaker mode until after the state election. Minimal updates will be made to this site until after the election results are declared.

Skip links and keyboard navigation

Round 8 recipients for Knowledge Transfer Partnerships

Five businesses, in partnership with two universities across Queensland, will share in a total of just under $250,000. The funding will enable these small and medium sized enterprises to bring a graduate into their business to work on an innovative project designed to grow their business.

Recipient Knowledge Based Partner Funding Offered by State to business (excl GST) Project Summary

DoseMe Pty Ltd

The University of Queensland $50,000 DoseMe White Blood Cell Count Oncology Model - DoseMe will employ a post-doctoral student to complete a literature review, test models and identify suitable data sources to assist in commercialisation of DoseMe’s Oncology White Blood Cell Count Model.

Mandalay Technologies Pty Ltd

Queensland University of Technology $50,000 Mandalay Technologies Carrier Reconciliation Tool - The tool will be a subscription based service leveraged off clients of our existing Mandalay CS customer base (waste transporters) providing more accurate information through their systems and faster vehicle movement times
The Water and Carbon Group The University of Queensland $50,000 Landfill Leachate Treatment Pilot Plant - Heavily contaminated wastewater from landfills risk causing environmental harm. WCG's world-first (cost feasible) system treats leachate to be fit for irrigation/reuse. This requires a close partnership with a knowledge-based partner.
ImmersaView Pty Ltd Queensland University of Technology $47,200 ImmersaView develop advanced software solutions for complex visualisation applications in Defence, Simulation, Audio Visual, Education, Energy and Emergency Services markets. The project is to optimize the encoding/decoding video, audio and data. 
CartonCloud Pty Ltd Queensland University of Technology $50,000 High Efficiency Route Optimisation Algorithm - Develop an efficient, multi-driver, multi-route, multi-constraint travelling salesman problem solver.
Creative Commons Attribution-NoDerivs 3.0 Australia (CC BY-ND 3.0)
Last updated
17 October, 2017

Call us

13 QGOV (13 74 68)

Page feedback

  1. How satisfied are you with your experience today? *
Scroll to top