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Company Challenges 
IntelliSense.io 
Sam G. Bose 
Founder & CEO
What we do. 
IntelliSense.io 
Finding inefficiencies from Factories, delivering ZERO system 
downtime and implementing continuous optimisation program 
to reduce opex 
2
How we do it Big Data Powered Infrastructure Intelligence 
Sensors, Software and Services 
3 
TARGET 
High value 
assets, 
systems & 
processes 
SOLUTION 
Optimisation 
by analytics 
& retrofit 
sensors 
IMPACT 
Portfolio of 
Apps 
delivered 
OPEX Model
Complex Systems Modelling 
How we do it Our Unique Value Proposition 
INPUT DATA FROM 
SENSORS 
PROFILE & PREDICT SYSTEM 
PERFORMANCE 
MONITORING & 
OPTIMISATION
Global Foundries - Europe’s Largest Semiconductor 
TARGET SYSTEMS 
Process Cooling Water 
Clean Compressed Air 
OUTCOME 
•System redesign through prediction model 
from real-time system and asset analytics. 
•10 to 15% operating cost reduction achieved 
via energy savings and asset life extension 
Fab
TARGET SYSTEMS & ASSETS 
Well Pumping System 
OUTCOME (On going) 
•Balance system performance and 
predict well targets 
•Minimise operational cost and extend 
lifetime of pumping system 
Kazatomprom – Global Uranium Mining Co
Challenges We Face as a Business
Challenges We Face as a Business 
Scaling technology, people and 
customers 
Maintaining Agility – Our USP as a small 
company 
Building our partnership DNA
How you can assist us 
Complex Systems 
Modeling Sustainable 
Processes 
Food & Beverage

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Company Challenges - IntelliSense.io - EPSRC Conference on Industrial Sustainability

  • 1. Company Challenges IntelliSense.io Sam G. Bose Founder & CEO
  • 2. What we do. IntelliSense.io Finding inefficiencies from Factories, delivering ZERO system downtime and implementing continuous optimisation program to reduce opex 2
  • 3. How we do it Big Data Powered Infrastructure Intelligence Sensors, Software and Services 3 TARGET High value assets, systems & processes SOLUTION Optimisation by analytics & retrofit sensors IMPACT Portfolio of Apps delivered OPEX Model
  • 4. Complex Systems Modelling How we do it Our Unique Value Proposition INPUT DATA FROM SENSORS PROFILE & PREDICT SYSTEM PERFORMANCE MONITORING & OPTIMISATION
  • 5. Global Foundries - Europe’s Largest Semiconductor TARGET SYSTEMS Process Cooling Water Clean Compressed Air OUTCOME •System redesign through prediction model from real-time system and asset analytics. •10 to 15% operating cost reduction achieved via energy savings and asset life extension Fab
  • 6. TARGET SYSTEMS & ASSETS Well Pumping System OUTCOME (On going) •Balance system performance and predict well targets •Minimise operational cost and extend lifetime of pumping system Kazatomprom – Global Uranium Mining Co
  • 7. Challenges We Face as a Business
  • 8. Challenges We Face as a Business Scaling technology, people and customers Maintaining Agility – Our USP as a small company Building our partnership DNA
  • 9. How you can assist us Complex Systems Modeling Sustainable Processes Food & Beverage

Hinweis der Redaktion

  1. Sense - Predict - Act -