About Us

At HoxtonAi, we believe a major challenge of our time is to make more efficient and productive use of the world’s physical spaces.

These account for 50% of the world’s resource usage and 86% of the economy. Optimising these spaces is most often held back by a lack of visibility and data into how they are actually being used.

Accurately counting how people use your space and interpreting the behaviours is the first step towards process improvement

We believe that understanding how people use a space will open up huge productivity improvements in process management, planning, staffing, operations, advertising and more.

We are on a mission to democratise access to the technology that allows this.

From the starting point of simple people counts, we have moved to sophisticated occupancy and staffing metrics, with many new technologies in the pipeline. Our mission is to lower the barrier to entry of these technologies and deepen their link between the data and the process that is driven by it.

What has traditionally been a highly technical, heavy and service-based industry, we want people to easily try out and smoothly embed in their spaces in order to optimise and iterate their day-to-day operations.

How live occupancy data and footfall insights can help you to improve processes.

We imagine a future where new buildings are not built unless they’re needed.

Where more tickets are sold if there’s capacity. Where a venue understands which marketing works or doesn’t, and the staffing reflects the demand. We believe heating and cooling should only be used if there are people present, cleaning and maintenance processes respond to the usage rather than timers, rooms or halls are allocated by actual usage and much much more.

We are, at our core, technologists and scientists, obsessed with making an impact on users and the world.

HoxtonAi has three product principles:

Easy to understand

both the input and the output must be logical and aligned with how humans actually think about spaces, rooms and buildings

Easy to set up

completely self-installable and easy to manage

Totally anonymous

privacy comes first. The entire stack is designed to avoid or eliminate all personal data.

People count

Insights on how and when people enter and exit your space.

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Occupancy monitor

Be notified when spaces in your sites reach critical levels.

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Find out more on our blog

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Case Study: How Center Parcs Use Occupancy Data To Drive Better Guest Experiences.

Duncan Mann | Aug 2022

We initially trialled the HoxtonAi solution on a small scale to ‘kick the tyres’ and see if it’s a ...

Case Study: How Bruntwood Grew Occupant Trust And Operational Confidence By Scaling Up Smart Building Data.

Duncan Mann | Jul 2022

Our retail proposition in Afflecks trades very differently from our core retail proposition and we ...

Case Study: How Ribble Measure The Impact Of Their Retail Stores Within Their Omnichannel Strategy.

Duncan Mann | Jul 2022

HoxtonAi is an integral part of our omnichannel strategy, and I’m excited to keep building on the ...

Case Study: How Techniquest use occupancy data to maximise the visitor experience and create positive growth for the company.

Duncan Mann | Mar 2022

Once we saw the graph, we realised we were able to admit 50% more visitors in the first time slot ...