1. Indoor Reality Mapping the indoors, one step at a time

2. Prof. Avideh Zakhor Qualcomm Chair of EECS at Cal
Sold technology to Google in 2006 that creates exterior 3D modeling of buildings via aerial and terrestrial data
Prof. Avideh Zakhor
Google has licensed the 3D city modeling software resulting from the Visualization MURI program for which Prof. Avideh Zakhor acted as lead principal investigator from 2000 to Zakhor's research team at the video and image processing lab at UC Berkeley has created the first fully automated, fast, scalable data acquisition system and post-processing software which use collected data to build photo-realistic 3-D models of urban environments suitable for walk-throughs as well as fly-throughs. This software is closely related to the Google Earth product and can potentially enable Google to provide 3D maps to its users.

3. Google has mapped over 5 million unique roads
From the earth to the moon and back….
…10 times

4. So why not map indoors?
Alex:
Nothing needs to change

5. Slow Manual Technology
Why not map the indoors?
Missing Floorplans
No GPS Indoors
Slow Manual Technology 5

6. Indoor Streetview Floorplans 3D Models
With a quick walk through, Indoor Reality generates…
Indoor Streetview
Floorplans
3D Models
Alex:
Nothing needs to change 6

7. Development to date $4MM+ from Department of Defense and ARPA-E
Solved the “indoor GPS” problem
2008
Today
Logos to liven it up
Does the 4 MM include the other 2 MM of DOE
$1.75MM ARPA-E funding over 18 months to commercialize hardware and software
50+ student years of research
50+ technical papers 7

8. Mapping the indoors means mapping buildings
Architecture, Engineering and Construction
(AEC)
Commercial
Real Estate
(CRE)
3D Models (planning)
3D Models (floor plans)
Project Management
Facilities Management
Indoor Positioning
Indoor Positioning
Documentation
Energy Audits 8

9. Global Construction Market Corresponds to 10 % of U.S. GDP
Why AEC?
Global Construction Market
Over 90% of large projects go over budget
$7.2 trillion
In large projects over 30% cost overruns are common
25-30%
Wasted for
inefficiencies
Corresponds to 10 % of U.S. GDP 9
Source: McKinsey, Dassault Systems, PWC

10. 25-30% Why AEC? Wasted for inefficiencies Source: McKinsey 10
This chart is over used in the AEC conference circuit, but this audience wouldn’t have seen it. May consider this as another slide to substantiate the WHY.
25-30%
Wasted for
inefficiencies 10
Source: McKinsey

11. Why projects go over budget?
Lack of thorough measurements
Extra work needed on-site because of flawed drawings
Poor Planning
Lack of understanding what is going on in the project
Inability to find mistakes quickly
Poor Execution
Organizational
Design
Poor communication, information is lost
Conflicting interests between stakeholders 11

12. Current solutions are slow and laborous
What is being done today?
Better Planning
Static
scanning for better measurements
BIM modeling for better drawings
Current solutions are slow and laborous
Better Execution
Software for better project management
Organizational
Design
Better communication

13. Legacy solution: Using static scanners for 3D models
c = 3.0 x 108 m/s2
Distance = c x time 13

14. Legacy solution: Using static scanners for 3D models
Hang targets
Scan, scan and scan again!
Obtain point clouds
Add time somehow – make it add up as you go in the bottom left next to the last thing to pop up – could just have a clock adding up and maybe a calendar with days coming off?
Scan to BIM
Revit modeling
Stitch together point clouds from scans 14

15. Using Indoor Reality to generate 3D models
Simultaneous localization and mapping
Automated loop closure and stitching
Automated surface reconstruction
Automated floor plan generation
Automated scan to BIM
RAPID &
AUTOMATED
A single, continuous walk through
3d model and other data products 15

16. ~15 minutes
2.5 minutes to scan!
2.5 hours to scan
~15 seconds

17. Indoor Reality generates a range of data products
3d point clouds
Simplified/Complex 3d meshes
Floor plans and room extraction
Virtual walkthroughs
Indoor streetview –like visuals
Automated scan to BIM
Make each image come in big and then recede to its position
Maybe put floor plans/room extraction and indoor positioning together? Or just make it come out again.
Whole building energy models
Object identification and inventory
Indoor positioning and real time occupancy tracking 17

18. First and Only Automated Indoor Mapping Solution
Results
First and Only Automated Indoor Mapping Solution
Largest Catalog of Data Products
Automated Workflow
Data Acquisition
100x faster!
30x faster! 18

19. Remodeling/Renovation
AEC: Applications
Documentation
Error Detection
Boyan:
We are looking to apply our technology to three elements of the AEC market:
Documentation: Keeping up-to-date repository of information on project for later reference and more importantly on real time updates on project tracking
Error Detection: Finding deviations from previous models or revit models before it’s too late
Remodeling/Renovation: Create new as builts for existing buildings to make engineering drawings quickly and more accurately
Remodeling/Renovation 19

20. Object Identification
AEC: Market Fit Assessment
Indoor Reality
Tripod Scanner
Drones
Clipboard
Object Identification
Automation
Indoor Capabilities ~
Accuracy
Speed of Capture
Ease of Use
Boyan:
Key notes:
All from the customers’ perspective
In this market we have several advantages over conventional methods like tripods and clipboards or new technology like drones
Indoor Capabilities: Drones can only do open sites, just fly overhead. Need small one to get through doors, but then battery power and capacity of drone is weaker. Also need to avoid hitting people and other objects. Current drones for sale do not have lidar.
Accuracy: Down to inch (end-to-end), Tripod Scanner is about 1/16th of an inch, Drones are 1-3 inch; Clipboard is dependent on individual measurement technique but generally does not include exact measurement
Speed of Capture: Tripod is 20 sec/scan (day). Backpack is just walking around. Clipboard.
On-site Ease of Use: Drones require someone from the drone company to operate. Tripod scanners have lots of training, stich it together. Much easier
Object Identification: Specific value ad. The algorithms to identify objects
Automation: Fully automated
Cost-effective approach while being much faster, generally more accurate, and less cumbersome than the clipboard
Object Identification
Automation ~
Cost Effective 20

21. AEC: ROI for $50 million Renovation Project21

22. Addressable with additional investment
AEC: Market Opportunity ($ in millions)
Boyan:
Market Size for Project Documentation:
Total construction market = $7T
~5% on PM costs = $350B
Global Market:
0.5% of budget to documenting with 3D map = TAM = $1.75B
Market size for Asbuilt and Planning
Cost per sqft to renovate: $100
As-built cost ($/sqft): 10 cents or 0.1%
Sqft (billion) remodeled each year: billion sqft =(total global commercial space (583 billion sqft) / frequency of renovation (20 years))
As-built drawings cost (billion): $2.9 billion
Market Size for Project Follow up:
Construction market in US $1T
Project Management inefficiencies cost $120 billion annually in the United States alone because of out-of- control delays, cost overruns, and other inefficiencies
Global Construction= $7T
~10% Project cost in inefficiencies = $0.7T
Question: How much can we fix and how much do we save them?
Global market:
1% less inefficiencies -> $7B
And they will pay ⅓ for service to fix ⅔
$2.1 B
Near term addressable
Addressable with additional investment

23. Who is the Customer?
Owner
Architect/Engineer
Needs more accurate project drawings for renovations
Wants more oversight and accountability on projects
Needs to know what is happening and where mistakes are
Wants better documentation to settle disputes
Project Controls
Most immediate pain, highest willingness to pay
Project Manager 23

24. Where do we enter?
Commercial Real Estate
$2B
Late Majority
Small and Medium Construction
Firms
Long term opportunity in building operation
Market entry point with early adopters
$6.8B
Early Majority
Expansion to rest of AEC
$400M
Early Adopters
Large construction firms
Immediate
2-3 years
5+ years

25. How do we enter? Software as a Service Backpack production
High Differentiation
Backpack production
Outsourced to 3rd party manufacturing partners
Scanning Services
Outsourced to 3rd party scanning service providers
Low Differentiation
Immediate
2-3 years
5+ years
Indoor Reality
Partners
Uses
Fast Integration
Revit Integration
Scan to BIM
¼’’ accuracy
Automated stiching
Project Tracking
Clash Detection
Remodels and Renovation
Not required
Indoor Reality Capabilities

26. Growth timeline Build sales force Seed funding Pilot customer
Today
2020
Product development for AEC
Manufacture backpacks
Expand to CRE

27. Questions? Michelle Leuenberger Alex Caffey Tero Jannes Boyan Kovacic
Jon Prowse
Questions?

28. Addressable with additional investment
$1.7 billion market opportunity with CRE
($ in millions)
Market size for Asbuilt and Planning (needs 1/16’’)
Total Lidar Market = $600M in 2020
Total growth =  16.3% CAGR
⅓ is civil
Global Market:
SAM = $200M in services and equipment for buildings
Potential market:
1,161,000 Number of new building permits annually in the US
1 run per project
$1000 per run -> $1B market
costs:
(5 runs / day per backpack) -> 1000 backpacks needed, lifetime 3 years = $25M + operating costs
Market Size for Project Documentation:
Total construction market = $7T
~5% on PM costs = $350B
0.5% of budget to documenting with 3D map = TAM = $1.57B
Market Size for Project Follow up:
Construction market in US $1T
Project Management inefficiencies cost $120 billion annually in the United States alone because of out-of- control delays, cost overruns, and other inefficiencies
Global Construction= $7T
~10% Project cost in inefficiencies = $0.7T
Question: How much can we fix and how much do we save them?
Global market:
1% less inefficiencies -> $7B
And they will pay ⅓ for service to fix ⅔
$2.1 B
Addressable with additional investment
Near term addressable