Last week we shared companies 20-40 in the top 100 Geospatial 2.0 list. Below we continue with companies 40-60.
“”Note, this is not a ranked list.
Geospatial 2.0 Enablers
HD Vector Maps
41. Ecopia: Geospatial 2.0 enabler. Ecopia leverages AI to convert high-resolution images of our earth into high-definition (HD) Vector Maps. These maps form a digital representation of reality and are embedded into critical decision-making applications, offering unique insight at scale.
42. DeepMap.ai – provides the world’s best high-definition mapping solutions and delivers the technology necessary for self-driving vehicles to navigate in a complex and unpredictable environment.
43. Fraym – sourcing localized data to make informed decisions in emerging markets. We aim to revolutionize decision making in places where data has been traditionally hard to access.
Data Collection & Aggregation
44. Oriient.me – Providers of indoor location data
45. Earthlab.ai – Aggregate, harmonize, and pre-process geospatial data
Geospatial 2.0 End-to-End Solutions
46. Arturo – Arturo are leveraging location data to provide AI powered solutions to the insurance industry to reduce risk.
47. CityDataAI – CityDataAI are applying Geospatial 2.0 techniques using AI and location data to help city leaders make data-driven decisions.
48. OmniSci: GPU accelerated analytics, billions of records, sub-second return, fully geo-enabled.
49. Immersive Wisdom – a software platform for multi-user 3D geospatial collaboration and real-time intelligence
50. BrAeIn is a smart Internet of Things (IoT) analytics & AI-based solution, which helps to build live monitoring intelligence dashboards & predictive analytics. BrAeIn is one of the most complete Geospatial 2.0 solutions we at whyofthere have so far encountered.
51. Xyzt.ai – A visual analytics platform that helps you see and understand your location data.
Transportation & Smart City
52. Asia Mobiliti is building a full stack platform of transit technology components to empower intelligent urban mobility systems for cities and nations. Orion, our custom-built IoT device installed in vehicles collect real-time data via its multiple sensors configuration and transmits data to our cloud native data platform. These data is reported and visualized for transit operators, transport regulators and government agencies on our command centre system, Horizon. These along with other sources of data from public transit agencies, transport regulators, cloud services and more are aggregated and modelled on a next-generation graph database powered system, serving a multi-modal journey planning app, Trek.
53. Padam Mobility – conceives artificial-intelligence-based SaaS solutions to operate more efficiently Demand-Responsive-Transport (DRT) services. The company enables Transit Operators, Local and Transport authorities to optimize their DRT services thanks to smart and dynamic solutions.
54. Woolpert – GeoAwareness is a quick-start solution for capturing customer location data in real time. Using predefined geofences, GeoAwareness alerts you to approaching customers and initiates the fulfillment process.
55. EQ Works – As humans, we’re always on the move. What better way to predict purchase intent than leveraging where your customers go? Combine location data with predictiveanalytics to understand better consumer behavior
56. PlaceIQ – location intelligence connect with and understand audiences.
57. To understand the COVID-19 exposure risk, Parkland Hospital assess a persons proximity to confirmed cases based on their address and population density of those locations using AI and geospatial analytics (PCCI).
58. IMAGEM NL utilize and easy to use dashboard with AI to automate the process of waterway inspections. Significantly reducing manual processes.
Change Detection & Asset Identification
59. Enview have built a first-of-its-kind 3D geospatial 2.0 AI tool called Enview Explore which “provides actionable insights in minutes.
Geospatial 2.0 Frameworks
60. FIWARE – The Open Source Platform for Our Smart Digital Future:
– Driving key standards for breaking the information silos
– Making IoT simpler
– Transforming Big Data into knowledge
– Unleashing the potential of right-time Open Data
– Enabling the Data Economy
– Ensuring sovereignty on your data
There you have it. We will continue the list in our next post #60-80.