Presentation for SiRF FastPitch @ CTIA 2009

1. Location Doesn’t Matter From lng/lat to context October 2009 SiRF Fast Pitch Presentation, San Diego

2. Urban Mapping Overview Founded in 2006 San Francisco-based Profitable Focus on high-quality, difficult to collect geographic data: Neighborhood boundaries Mass transit data Enhanced parking Enhanced shopping mall data Geotargeting On-demand 24/7 hosted geo-services via API Reverse geocoding to neighborhoods Mass transit routing and real time alerts Search for parking/rate calculation Dynamic delivery of geospatial content October 2009 Proprietary & Confidential

3. Urban Mapping Overview Founded in 2006 San Francisco-based Profitable Focus on high-quality, difficult to collect geographic data: Neighborhood boundaries Mass transit data Enhanced parking Enhanced shopping mall data Geotargeting On-demand 24/7 hosted geo-services via API Reverse geocoding to neighborhoods Mass transit routing and real time alerts Search for parking/rate calculation Dynamic delivery of geospatial content October 2009 Proprietary & Confidential

4. UMI Customers/Partners October 2009 Proprietary & Confidential Representative Customers Partners

6. Pulling location accomplished through various methods

7. Cell-id

8. GPS

9. A-GPS

10. IP lookup

11. WiFi

12. Browser-based

13. Value-added services must provide context and relationships:

15. Pulling location accomplished through various methods

16. Cell-id

17. GPS

18. A-GPS

19. IP lookup

20. WiFi

21. Browser-based

22. Value-added services must provide context and relationships:

24. Cross Street

25. City

26. ZIP

27. School District

28. Congressional District

29. FedEx Delivery Zones

30. DMA

31. NOAA Climate Regions

32. StateCounty ZIP Neighborhood Block Group Cross Street

34. Natural hazards

35. Health care quality

36. Mass transit proximity

37. Regional economic indicators

38. Parcel data

39. Consumer segmentation/expenditures

40. Election returns

41. Crime

42. Bankruptcy filingsCrime Transportation Health ZIP Real Estate Economic Demographics Environmental Education

43. c Temporal Association TheMapfluencedata catalog maintains a temporal component, allowing for time series analysis of individual data sets 1500 1800 1900 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15… ZIP October 2009 Proprietary & Confidential

44. c ‘Data Cube’ October 2009 Proprietary & Confidential Geo-hierarchical Temporal Thematic

45. c Millions of ‘Data Cubes’ October 2009 Proprietary & Confidential

46. c Adding Value to Location October 2009 Proprietary & Confidential LBS provider passes location, service performed, ‘enhanced location’ returned cellid GPS WiFi

47. c Data Precompiling October 2009 Proprietary & Confidential Mapfluenceprocesses ‘cubed data’ sets for client application Data Sources Real Time Proprietary Public “Wildfire” Engine

48. c Data Serving October 2009 Proprietary & Confidential Via API, render thematic mapping, charts and tables, on the fly spatial analysis API

49. c From Location to Context October 2009 Proprietary & Confidential IP HTTP (NPA) NXX ZIP API cellid GPS Data Sources WiFi Real Time Proprietary Public GeoRelevance Engine

51. Highly-scalable, cloud infrastructure

52. Data on demand: 1000s of high-value data sets available for use

53. Millions of pre computed data cubes

54. Javascript API: easy developer integration, platform agnostic