Founder:
Scott Dunbar
Ali Hosseinpour
FOUNDED:
2021
% SHAREHOLDING
90%
stage
Development
NUMBER OF EMPLOYEES
2
NUMBER OF PERFORMANCE TRIALS
1 (Canada)
GEOGRAPHIC FOOTPRINT
Canada
UNIVERSITY COLLABORATIONS
UBC
THE PATRONUS PIPELINE
Discovery
Development
Deployed
AI Co-P
Process M
MirrorMine is an AI company focusing on finding and optimizing interrelationships in complex systems. MirrorMine develops intelligent software tools that deliver whole-system improvements in industrial and commercial facilities in hours as opposed to years.
MirrorMine was co-founded by UBC Prof. Scott Dunbar, his former student Ali Hosseinpour and Syniad, on the idea that synthetic data could allow an AI to outcompete a facility operator when optimizing complex inter-related subsystems. Combining recurrent neural networks and supervised learning models, the system was able to achieve tailored recommendations to all subsystems to reduce overall energy consumption of LEED Gold building by a massive 55% after just 4 hours of learning.
Investment opportunity
- MirrorMine is differentiated by orchestrating whole-system optimization over individual sub-systems using a proprietary meta model approach
- MirrorMine reduces time and cost associated with system optimization, bottleneck identification
Unmet need:
- Orchestrating and mining asset level information to provide system level enhancements in facility management
Market opportunity:
- Green Buildings
- Manufacturing optimization
- Workflow optimization
Key risks:
- Data quality and cost of pre-processing
- Data duplication across asset classes
- Digitizing manual tasks