At SpaceBot, we are experts in the development of data-driven insights about space utilization and the user experiences that are connected to the places in which those experiences happen.
SpaceBot helps clients optimize the value proposition of the real estate they are invested in. We collect and analyze data to deliver valuable insights about how people use those buildings and spaces, and the quality of the human experiences they afford.
The insights start with an understanding of how many people are occupying the different spaces, when, and for how long - illuminating the patterns of high and low demand for those spaces. This information can be used for strategic planning to tune the number and sizes of the spaces, to redefine their programming, or to implement policies that can optimize the utilization patterns.
In addition to real estate optimization, the data can be used to enable better user experiences in “smart” environments. Insights related to journey mapping, wait times, dwell times, social interaction, and other socio-spatial phenomena can be drawn from the data and used to improve experiences and drive decisions in support of human-centered goals.
SpaceBot offers two types of services: Spatial Snapshot and Spatial Intelligence. Spatial Snapshot provides a benchmarking spot check that is particularly useful before (and after) implementing a design project or other form of intervention. Spatial Intelligence is more persistent and opens up opportunities to inform operations and to enable new forms of user engagement and user experiences.
Spatial Snapshot is a short term benchmarking exercise wherein data is collected for about 3-4 weeks. The information and insights generated in this exercise are valuable for strategic planning processes that feed into design, programming or policy intervention decisions.
Spatial Intelligence is a longer term, ongoing service that supports not just strategic planning, but also operations. The data and analytics provide immediate feedback about the success of strategic initiatives, can be leveraged to create valuable prediction tools, and can enable the creation of features that improve customer/ user engagements and experiences.
The use of meeting spaces in workplaces. The use of amenity spaces in residential communities. Visitor journeys in retail centers and mixed use developments. Traveler journeys in transportation centers. Interactions across academic silos in universities. SpaceBot delivers value in any market where spatial utilization patterns are sufficiently complex and critical to understand.
DATA & TECH
The data we use to develop this “experiential intelligence” includes data that are already being generated from the clients’ existing digital systems (what we call “exhaust” data). SpaceBot can also deploy its own proprietary sensor platform to bring in additional data, using computer vision, passive infrared (PIR), and wireless signal sensing technologies.
All the data SpaceBot collects from its sensors can remain behind the client’s firewall – there is no need to move any data to the cloud. The computer vision images that are taken are analyzed right on the sensor node, and can be immediately deleted after the analysis. The people in the images can be blurred to mask identity. The only data we need from the images is the people count, a timestamp, and the sensor ID.
David Turner, Co-Founder (firstname.lastname@example.org)
Part technologist and part businessman, Dave is a serial entrepreneur with a passion for using technology to solve big social problems. He has founded four companies - including SpaceBot - and has substantial experience developing software for government and business clients. Prior to becoming an entrepreneur, Dave spent eight years managing, marking and building big data software products, and consulting for social enterprises. Dave has been featured on NPR and BBC and has been consulted by the White House Business Counsel.
Keith Besserud, AIA, Co-Founder (email@example.com)
In co-founding SpaceBot, Keith transitioned an architectural career focused on the development and application of advanced digital technologies that drove the design of buildings and spaces across the world (within firms like SOM and Gensler) to the development and application of technologies that can tease out an understanding of the human experiences those buildings and spaces afford. It is this fuzzier, human-centric side of quantitative spatial analytics that inspires Keith’s vision for SpaceBot.