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POINT ENERGY TECHNOLOGYPOINT ENERGY TECHNOLOGY
MR JOE DEVLIN
DR JING DENG:  CO FOUNDER
PROF KANG LI:  CO FOUNDER
MR RONAN CUNNINGHAM:  MENTOR
MR JOE DEVLIN
DR JING DENG:  CO FOUNDER
PROF KANG LI:  CO FOUNDER
MR RONAN CUNNINGHAM:  MENTOR
Total Interviews: 56
In Person: 49
Potential market size: >£100m
(COMPONENT LEVEL DATA COLLECTION AND ANALYSIS
DELIVERING FACTORY LEVEL IMPROVEMENTS)
BRINGING THE MANUFACTURING LINE ONLINE:
MAKING DUMB MACHINES SMART
(COMPONENT LEVEL DATA COLLECTION AND ANALYSIS
DELIVERING FACTORY LEVEL IMPROVEMENTS)
BRINGING THE MANUFACTURING LINE ONLINE:
MAKING DUMB MACHINES SMART
Jing Deng Kang Li Joe Devlin Ronan Cunningham
Lead Business mentorAcademic advisor Member
Italy!!!
WE’RE GOING TO MAKE LOADS OF MONEY
• No one’s doing this!
• We have amazing hardware
• Who wouldn’t want cheaper bills? Practically sells itself.
We’ll do everything
• Multiple value propositions
• Be the outsourced manufacturing department for small
players
Hardware
• The hardware to collect the component level data is the most
important thing we have
• Component level data delivering factory level
understanding
• Machine health information and monitoring
• Optimal machine interaction settings delivered
after benchmarking process
• Cost saving potential in efficiency and energy
• End to end process data collection, storage and
analysis
WE’RE GOING TO MAKE LOADS OF MONEY
• Still looking good
• No one’s doing this!
• Yes, yes they are.
• We have amazing hardware
• True. Who cares?
• Who wouldn’t want cheaper bills, practically sells itself.
• This is a real pain point with a small tranche of customers.
But most want more value than a one time reduction.
We’ll do everything
• Multiple value propositions
• All still possible, but we need to focus on delivering the
easier ones first.
• Be the outsourced manufacturing department for small
players
• This is our growth target.
• We need domain knowledge and data before we can
deliver on this.
Hardware
• The hardware to collect the component level data is the most
important thing we have
• Really its only the vehicle to deliver value
• Component level data delivering factory level
understanding
• This is the overriding principle of Point Energy
• Focus on delivering energy savings in the short term
• Get
• Most effective way of onboarding clients
• Machine health information and monitoring
• Keep
• Build on data collection and deliver actionable
insights/monitoring
• Machine to machine interaction and optimisation
• Grow
• Continually over value over and above energy
savings
• Key Partners
• Investigating possible
partnerships with Utility
companies
• OEM for domain
knowledge
• Outsourcing Installation
• Key Activities
• Giving hardware away
• Key Resources
• Analytic Capability-
people/product
• Revenue Streams
• Reflective of the Get-
Keep-Grow pipeline
• Pricing Model
• Initially installation and
subscription
• Now exploring a % of
savings delivered
• Inherently more risky
but lucrative
Go!
• Customers are very interested
• Pilot
• Do the simple things well, build on solid data
foundation
• Don’t become the all singing all dancing
solution from the start
Lessons learned
Technical
THANK YOU!THANK YOU!

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Point Energy Technology Delivers Factory Efficiency

  • 1. POINT ENERGY TECHNOLOGYPOINT ENERGY TECHNOLOGY MR JOE DEVLIN DR JING DENG:  CO FOUNDER PROF KANG LI:  CO FOUNDER MR RONAN CUNNINGHAM:  MENTOR MR JOE DEVLIN DR JING DENG:  CO FOUNDER PROF KANG LI:  CO FOUNDER MR RONAN CUNNINGHAM:  MENTOR Total Interviews: 56 In Person: 49 Potential market size: >£100m (COMPONENT LEVEL DATA COLLECTION AND ANALYSIS DELIVERING FACTORY LEVEL IMPROVEMENTS) BRINGING THE MANUFACTURING LINE ONLINE: MAKING DUMB MACHINES SMART (COMPONENT LEVEL DATA COLLECTION AND ANALYSIS DELIVERING FACTORY LEVEL IMPROVEMENTS) BRINGING THE MANUFACTURING LINE ONLINE: MAKING DUMB MACHINES SMART
  • 2. Jing Deng Kang Li Joe Devlin Ronan Cunningham Lead Business mentorAcademic advisor Member
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  • 5. WE’RE GOING TO MAKE LOADS OF MONEY • No one’s doing this! • We have amazing hardware • Who wouldn’t want cheaper bills? Practically sells itself. We’ll do everything • Multiple value propositions • Be the outsourced manufacturing department for small players Hardware • The hardware to collect the component level data is the most important thing we have
  • 6. • Component level data delivering factory level understanding • Machine health information and monitoring • Optimal machine interaction settings delivered after benchmarking process • Cost saving potential in efficiency and energy • End to end process data collection, storage and analysis
  • 7. WE’RE GOING TO MAKE LOADS OF MONEY • Still looking good • No one’s doing this! • Yes, yes they are. • We have amazing hardware • True. Who cares? • Who wouldn’t want cheaper bills, practically sells itself. • This is a real pain point with a small tranche of customers. But most want more value than a one time reduction.
  • 8. We’ll do everything • Multiple value propositions • All still possible, but we need to focus on delivering the easier ones first. • Be the outsourced manufacturing department for small players • This is our growth target. • We need domain knowledge and data before we can deliver on this. Hardware • The hardware to collect the component level data is the most important thing we have • Really its only the vehicle to deliver value
  • 9. • Component level data delivering factory level understanding • This is the overriding principle of Point Energy • Focus on delivering energy savings in the short term • Get • Most effective way of onboarding clients • Machine health information and monitoring • Keep • Build on data collection and deliver actionable insights/monitoring • Machine to machine interaction and optimisation • Grow • Continually over value over and above energy savings
  • 10. • Key Partners • Investigating possible partnerships with Utility companies • OEM for domain knowledge • Outsourcing Installation • Key Activities • Giving hardware away • Key Resources • Analytic Capability- people/product • Revenue Streams • Reflective of the Get- Keep-Grow pipeline • Pricing Model • Initially installation and subscription • Now exploring a % of savings delivered • Inherently more risky but lucrative
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  • 12. Go! • Customers are very interested • Pilot • Do the simple things well, build on solid data foundation • Don’t become the all singing all dancing solution from the start